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Sample records for case based reasoning

  1. Case-based reasoning

    CERN Document Server

    Kolodner, Janet

    1993-01-01

    Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As new problems arise, similar situations are searched out to help solve these problems. Problems are understood and inferences are made by finding the closest cases in memory, comparing and contrasting the problem with those cases, making inferences based on those comparisons, and asking questions whe

  2. Inside case-based reasoning

    CERN Document Server

    Riesbeck, Christopher K

    2013-01-01

    Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version of the information. The authors emphasize that the only true way to learn and understand any AI program is to program it yourself. To this end, the book develops a deeper and richer understanding of the content through LISP programming instructions that allow the running, modification, and

  3. Case Based Reasoning: Case Representation Methodologies

    Directory of Open Access Journals (Sweden)

    Shaker H. El-Sappagh

    2015-11-01

    Full Text Available Case Based Reasoning (CBR is an important technique in artificial intelligence, which has been applied to various kinds of problems in a wide range of domains. Selecting case representation formalism is critical for the proper operation of the overall CBR system. In this paper, we survey and evaluate all of the existing case representation methodologies. Moreover, the case retrieval and future challenges for effective CBR are explained. Case representation methods are grouped in to knowledge-intensive approaches and traditional approaches. The first group overweight the second one. The first methods depend on ontology and enhance all CBR processes including case representation, retrieval, storage, and adaptation. By using a proposed set of qualitative metrics, the existing methods based on ontology for case representation are studied and evaluated in details. All these systems have limitations. No approach exceeds 53% of the specified metrics. The results of the survey explain the current limitations of CBR systems. It shows that ontology usage in case representation needs improvements to achieve semantic representation and semantic retrieval in CBR system.

  4. Case-based reasoning a concise introduction

    CERN Document Server

    López, Beatriz

    2013-01-01

    Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in

  5. Fuzzy Case-Based Reasoning System

    Directory of Open Access Journals (Sweden)

    Jing Lu

    2016-06-01

    Full Text Available In this paper, we propose a fuzzy case-based reasoning system, using a case-based reasoning (CBR system that learns from experience to solve problems. Different from a traditional case-based reasoning system that uses crisp cases, our system works with fuzzy ones. Specifically, we change a crisp case into a fuzzy one by fuzzifying each crisp case element (feature, according to the maximum degree principle. Thus, we add the “vague” concept into a case-based reasoning system. It is these somewhat vague inputs that make the outcomes of the prediction more meaningful and accurate, which illustrates that it is not necessarily helpful when we always create accurate predictive relations through crisp cases. Finally, we prove this and apply this model to practical weather forecasting, and experiments show that using fuzzy cases can make some prediction results more accurate than using crisp cases.

  6. Successful case-based reasoning applications 2

    CERN Document Server

    Jain, Lakhmi

    2014-01-01

    Case-based reasoning paradigms offer automatic reasoning capabilities which are useful for the implementation of human like machines in a limited sense. This research book is the second volume in a series devoted to presenting Case-based reasoning (CBR) applications. The first volume, published in 2010, testified the flexibility of CBR, and its applicability in all those fields where experiential knowledge is available. This second volume further witnesses the heterogeneity of the domains in which CBR can be exploited, but also reveals some common directions that are clearly emerging in recent years. This book will prove useful to the application engineers, scientists, professors and students who wish to develop successful case-based reasoning applications.

  7. Case-based Reasoning in Conflict Negotiation in Concurrent Engineering

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    Case-based reasoning (CBR) is a kind of analogous reasoning that is widely used in artificial intelligence. Conflicts are pervasive in Concurrent Engineering design environment. Conflict negotiation is necessary when conflicts occur. It is difficult to resolve conflicts due to several reasons. An approach to resolving conflicts by case-based reasoning is proposed in this paper. The knowledge representation of conflict negotiation cases, the judgment of case similarity, the retrieval model of cases, the management of case bases, and the process of case-based conflict negotiation are studied. The implementation structure of the Case-based Conflict Solving System (CCSS) is also given.

  8. Fuzzy case based reasoning in sports facilities unit cost estimating

    Science.gov (United States)

    Zima, Krzysztof

    2016-06-01

    This article presents an example of estimating costs in the early phase of the project using fuzzy case-based reasoning. The fragment of database containing descriptions and unit cost of sports facilities was shown. The formulas used in Case Based Reasoning method were presented, too. The article presents similarity measurement using a few formulas, including fuzzy similarity. The outcome of cost calculations based on CBR method was presented as a fuzzy number of unit cost of construction work.

  9. Structured Language Requirement Elicitation Using Case Base Reasoning

    Directory of Open Access Journals (Sweden)

    Marryam Murtaza

    2013-12-01

    Full Text Available Requirement elicitation is very difficult process in highly challenging and business based software as well as in real time software. Common problems associated with these types of software are rapidly changing the requirements and understanding the language of the layman person. In this study, a framework for requirement elicitation by using knowledge based system is proposed, which is very helpful for knowledge documentation, intelligent decision support, self-learning and more specifically it is very helpful for case based reasoning and explanation. Basically in this method requirements are gathered from Artificial Intelligence (AI expert system from various sources e.g., via interviews, scenarios or use cases. Then, these are converted into structured natural language using ontology and this new problem/case is put forward to Case Based Reasoning (CBR. CBR based on its previous information having similar requirements combines with new case and suggests a proposed solution. Based on this solution a prototype is developed and delivered to customer. The use of case-based reasoning in requirements elicitation process has greatly reduced the burden and saved time of requirement analyst and results in an effective solution for handling complex or vague requirements during the elicitation process.

  10. Trust-Guided Behavior Adaptation Using Case-Based Reasoning

    Science.gov (United States)

    2015-08-01

    trustworthiness and adapt its behavior ac- cordingly. As behavior adaptation is performed, us- ing case-based reasoning (CBR), information about the...complete set of rules for trustwor- thy behavior if the robot is expected to handle changes in teammates, environments, or mission contexts. The way

  11. Recognition of suspicious behavior using case-based reasoning

    Institute of Scientific and Technical Information of China (English)

    夏利民; 杨宝娟; 涂宏斌

    2015-01-01

    A novel method case-based reasoning was proposed for suspicious behavior recognition. The method is composed of three departs: human behavior decomposition, human behavior case representation and case-based reasoning. The new approach was proposed to decompose behavior into sub-behaviors that are easier to recognize using a saliency-based visual attention model. New representation of behavior was introduced, in which the sub-behavior and the associated time characteristic of sub-behavior were used to represent behavior case. In the process of case-based reasoning, apart from considering the similarity of basic sub-behaviors, order factor was proposed to measure the similarity of a time order among the sub-behaviors and span factor was used to measure the similarity of duration time of each sub-behavior, which makes the similarity calculations more rational and comprehensive. Experimental results show the effectiveness of the proposed method in comparison with other related works and can run in real-time for the recognition of suspicious behaviors.

  12. Temperament and Mood Detection Using Case-Based Reasoning

    Directory of Open Access Journals (Sweden)

    Adebayo Kolawole John

    2014-02-01

    Full Text Available Case-Based Reasoning (CBR is a branch of AI that is employed to solving problems which emphasizes the use of previous solutions in solving similar new problems. This work presents TAMDS, a Temperament and Mood Detection system which employs Case-Based Reasoning technique. The proposed system is adapted to the field of psychology to help psychologists solve part of the problems in their complex domain. We have designed TAMDS to detect temperament and moods of individuals. A major aim of our system is to help individuals who are out of reach of a professional psychologist to manage their personality and moods because as humans, moods affect our perceptions, personal health, the way we view the world around us and the way we react to it.

  13. Generating Weather Forecast Texts with Case Based Reasoning

    OpenAIRE

    Adeyanju, Ibrahim

    2015-01-01

    Several techniques have been used to generate weather forecast texts. In this paper, case based reasoning (CBR) is proposed for weather forecast text generation because similar weather conditions occur over time and should have similar forecast texts. CBR-METEO, a system for generating weather forecast texts was developed using a generic framework (jCOLIBRI) which provides modules for the standard components of the CBR architecture. The advantage in a CBR approach is that systems can be built...

  14. Case-Based Reasoning for Explaining Probabilistic Machine Learning

    Directory of Open Access Journals (Sweden)

    T omas Olsson

    2014-04-01

    Full Text Available This paper describes a generic fram e w ork for e xplaining the prediction of probabilistic machine learning algorithms using cases. The fram e w ork consists of t w o components: a similarity metric between cases th at is defined relat i v e to a probability model and an n ov el case - based approach to justifying the probabilistic prediction by estimating the prediction error using case - based reasoning. As basis for der i ving similarity metrics, we define similarity in terms of the principle of inte r c han g eability that t w o cases are considered similar or identical if t w o probability distri b utions, der i v ed from e xcluding either one or the other case in the case base, are identical. Lastl y , we sh o w the applicability of the propo sed approach by der i ving a metric for linear r e gression, and apply the proposed approach for e xplaining predictions of the ene r gy performance of households

  15. Case-based reasoning: The marriage of knowledge base and data base

    Science.gov (United States)

    Pulaski, Kirt; Casadaban, Cyprian

    1988-01-01

    The coupling of data and knowledge has a synergistic effect when building an intelligent data base. The goal is to integrate the data and knowledge almost to the point of indistinguishability, permitting them to be used interchangeably. Examples given in this paper suggest that Case-Based Reasoning is a more integrated way to link data and knowledge than pure rule-based reasoning.

  16. Using Case-Based Reasoning for detecting computer virus

    Directory of Open Access Journals (Sweden)

    Abdellatif Berkat

    2011-07-01

    Full Text Available The typical antivirus approach consists of waiting for a number of computers to be infected, detecting the virus, designing a solution, delivering and deploying a solution. In such a situation, it is very difficult to prevent every machine from being compromised by viruses. In this paper, we propose a new method, for detecting computer viruses, that is based on the technique of Case-Based Reasoning (CBR. In this method: (1 even new viruses that do not exist in the database can be detected (2 The updating of the virus database is done automatically without connecting to the Internet. Whenever a new virus is detected, it will be automatically added to the database used by our application. This presents a major advantage

  17. Teaching clinical reasoning: case-based and coached.

    Science.gov (United States)

    Kassirer, Jerome P

    2010-07-01

    Optimal medical care is critically dependent on clinicians' skills to make the right diagnosis and to recommend the most appropriate therapy, and acquiring such reasoning skills is a key requirement at every level of medical education. Teaching clinical reasoning is grounded in several fundamental principles of educational theory. Adult learning theory posits that learning is best accomplished by repeated, deliberate exposure to real cases, that case examples should be selected for their reflection of multiple aspects of clinical reasoning, and that the participation of a coach augments the value of an educational experience. The theory proposes that memory of clinical medicine and clinical reasoning strategies is enhanced when errors in information, judgment, and reasoning are immediately pointed out and discussed. Rather than using cases artificially constructed from memory, real cases are greatly preferred because they often reflect the false leads, the polymorphisms of actual clinical material, and the misleading test results encountered in everyday practice. These concepts foster the teaching and learning of the diagnostic process, the complex trade-offs between the benefits and risks of diagnostic tests and treatments, and cognitive errors in clinical reasoning. The teaching of clinical reasoning need not and should not be delayed until students gain a full understanding of anatomy and pathophysiology. Concepts such as hypothesis generation, pattern recognition, context formulation, diagnostic test interpretation, differential diagnosis, and diagnostic verification provide both the language and the methods of clinical problem solving. Expertise is attainable even though the precise mechanisms of achieving it are not known.

  18. Application of case-based reasoning for machining parameters selection

    Science.gov (United States)

    Grabowik, C.; Kalinowski, K.; Krenczyk, D.; Paprocka, I.; Kempa, W.

    2016-08-01

    Process planning, as one of the most important stage of the technological production preparation, consists in selection of manufacturing operations taking into account the minimal manufacturing cost. The minimal manufacturing cost could be achieved by selection of the best sequence of manufacturing operations, machine tools, manufacturing tools, and accompanying machining parameters selection. On the other hand, it is almost impossible, especially in industrial conditions, to design an optimal process plan, first of all due to restrictions imposed by the installed in the factory machine park. Taking into consideration above, machining parameter selection seems to be one of the potential areas of optimization. In manual process planning process engineers select machining parameters using selection rules and data stored in manuals and tool catalogues. It makes this process time and labour consuming and non-error free. On the other hand, in workshop practice, machine operators select parameters having their skills and habits in mind. It could be a reason for suboptimal process planning. Considering this, new methods of machining parameters selection free of human factor influence are still sought. In our approach, we propose to apply case-based reasoning for machining parameter selection. In the paper, a detailed description of our approach is presented.

  19. Machinery fault diagnosis expert system based on case-based reasoning

    Institute of Scientific and Technical Information of China (English)

    LI Wen-hong; SUN Shao-wen; ZHANG Qi

    2007-01-01

    A mechinery fault diagnosis expert system based on case-based reasoning (CBR) technology was established. The process of the CBR fault diagnosis is analyzed from three main aspects: expression and memory, retrieving and matching, and modification and maintenance of a case. The results indicate that the CBR method is flexible and simple to implement, and it has strong self-studying ability. Using a large enough number of case reasoning sets, it can accumulate the experience of problem solving, avoid the difficulty of knowledge acquisition, shorten the course of solving problems, improve efficiency of reasoning, and save the time of developing.

  20. Case-Based Reasoning for Deployment Transport Planning

    Science.gov (United States)

    1994-08-01

    qualitative and quantitative reasoning tha was the focus of our work. Airports are designated by the following three letter codes: SFO = San Francisco , EUG...INTERNATIONAL SCIFNCE CTR 444 HIGH STREET PALO ALTO CA 94301 MR, STFVE GOYA OISA/JIEO/GSI1 CODE rSO 11440 ISAAC NEWTON SO RESTON VA 22090 MR. MORTON A

  1. The Effectiveness of Case-Based Reasoning: An Application in Sales Promotions

    NARCIS (Netherlands)

    N.A.P. Althuizen (Niek); B. Wierenga (Berend)

    2003-01-01

    textabstractThis paper deals with Case-based Reasoning (CBR) as a support technology for sales promotion (SP) decisions. CBR-systems try to mimic analogical reasoning, a form of human reasoning that is likely to occur in weakly-structured problem solving, such as the design of sales promotions. In a

  2. Capability Model for Case-Based Reasoning in Collaborative Commerce Environment

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Collaborative commerce (c-commerce) has become an innovative business paradigm that helps companies achieve high operational performance through inter-organizational collaboration. This paper presents an effective case-based reasoning (CBR) capability model for solution selection in c-commerce applications, as CBR is widely used in knowledge management and electronic commerce.Based on the case-based competence model suggested by Smyth and McKenna, a directed graph was used to represent the collaborative reasoning history of CBR systems, where information of reasoning process ability was extracted. Experiment was carried out on a travel dataset. By integrating case-based competence and reasoning process ability, the capability is more suitable to reflect the real ability of CBR systems. The result shows that the proposed method can effectively evaluate the capability of CBR systems and enhance the performance of collaborative case-based reasoning in c-commerce environment.

  3. Collaborative case-based reasoning for knowledge discovery of elders health assessment system.

    Science.gov (United States)

    Hu, Ping; Gu, Dong-Xiao; Zhu, Yu

    2014-01-01

    The existing Elders Health Assessment (EHA) system based on single-case-library reasoning has low intelligence level, poor coordination, and limited capabilities of assessment decision support. To effectively support knowledge reuse of EHA system, this paper proposes collaborative case reasoning and applies it to the whole knowledge reuse process of EHA system. It proposes a multi-case library reasoning application framework of EHA knowledge reuse system, and studies key techniques such as case representation, case retrieval algorithm, case optimization and correction, and reuse etc.. In the aspect of case representation, XML-based multi-case representation for case organization and storage is applied to facilitate case retrieval and management. In the aspect of retrieval method, Knowledge-Guided Approach with Nearest-Neighbor is proposed. Given the complexity of EHA, Gray Relational Analysis with weighted Euclidean Distance is used to measure the similarity so as to improve case retrieval accuracy.

  4. Improving Multi agent Systems Based on Reinforcement Learning and Case Base Reasoning

    Directory of Open Access Journals (Sweden)

    Sara Esfandiari

    2012-01-01

    Full Text Available In this paper, a new algorithm based on case base reasoning and reinforcement learning is proposed to increase the rate convergence of the Selfish Q-Learning algorithms in multi-agent systems. In the propose method, we investigate how making improved action selection in reinforcement learning (RL algorithm. In the proposed method, the new combined model using case base reasoning systems and a new optimized function has been proposed to select the action, which has led to an increase in algorithms based on Selfish Q-learning. The algorithm mentioned has been used for solving the problem of cooperative Markovs games as one of the models of Markov based multi-agent systems. The results of experiments on two ground have shown that the proposed algorithm perform better than the existing algorithms in terms of speed and accuracy of reaching the optimal policy.

  5. Real-time retrieval for case-based reasoning in interactive multiagent-based simulations

    CERN Document Server

    De Loor, Pierre; Pierre, Chevaillier; 10.1016/j.eswa.2010.10.048

    2011-01-01

    The aim of this paper is to present the principles and results about case-based reasoning adapted to real- time interactive simulations, more precisely concerning retrieval mechanisms. The article begins by introducing the constraints involved in interactive multiagent-based simulations. The second section pre- sents a framework stemming from case-based reasoning by autonomous agents. Each agent uses a case base of local situations and, from this base, it can choose an action in order to interact with other auton- omous agents or users' avatars. We illustrate this framework with an example dedicated to the study of dynamic situations in football. We then go on to address the difficulties of conducting such simulations in real-time and propose a model for case and for case base. Using generic agents and adequate case base structure associated with a dedicated recall algorithm, we improve retrieval performance under time pressure compared to classic CBR techniques. We present some results relating to the perfor...

  6. Case-Based Analogical Reasoning: A Pedagogical Tool for Promotion of Clinical Reasoning

    Science.gov (United States)

    Speicher, Timothy E.; Bell, Alexandra; Kehrhahn, Marijke; Casa, Douglas J.

    2012-01-01

    Context: One of the most common instructional methods utilized to promote learning transfer in health profession education is examination of a single patient case. However, in non-healthcare settings this practice has shown to be less effective in promoting learning than the examination of multiple cases with cueing. Objective(s): The primary…

  7. Solution based on Case-Based Reasoning for supporting a computer auditing database

    Directory of Open Access Journals (Sweden)

    Yasser Azán-Basallo

    2014-04-01

    Full Text Available In the Security Department Computing ETECSA through diagnostic matrices or checklists, the audit process is performed to Database Management Systems. After completing the monitoring of DBMS, experts determine the risk level of information security in terms of High, Medium and Low. The use of artificial intelligence technique Reasoning Case-Based, for use in the analysis phase of evaluation of the risk of security of the information to take advantage of the experience gained in previous audits of this type is proposed. He leaned on ETECSA specialists in determining the features that make the vector cases. The incorporation of Reasoning Case-Based technique to support the analysis of information security audits managers’ database, streamlines the process and helps in the analysis of risks to information security auditors.

  8. Automatic Generation of Setup for CNC Spring Coiler Based on Case-based Reasoning

    Institute of Scientific and Technical Information of China (English)

    KU Xiangchen; WANG Runxiao; LI Jishun; WANG Dongbo

    2006-01-01

    When producing special-shape spring in CNC spring coiler, the setup of the coiler is often a manual work using a trial-and-error method. As a result, the setup of coiler consumes so much time and becomes the bottleneck of the spring production process. In order to cope with this situation, this paper proposes an automatic generation system of setup for CNC spring coiler using case-based reasoning (CBR). The core of the study contains: (1) integrated reasoning model of CBR system;(2) spatial shape describe of special-shape spring based on feature;(3) coiling case representation using shape feature matrix; and (4) case similarity measure algorithm. The automatic generation system has implemented with C++ Builder 6.0 and is helpful in improving the automaticity and efficiency of spring coiler.

  9. Introspective Reasoning Models for Multistrategy Case-Based and Explanation

    Science.gov (United States)

    2007-11-02

    The algorithm will generalize the explanation (that this particular dog barked at a particular piece of luggage because it detected mari- juana ) to a...Krulwich. & Freed, 1993; Fox & Leake, 1994; Oehlmann, Edwards, & Sleeman, 1994; Plaza & Arcos , 1993: Stroulia & Goel. in press), and a few have used the...pp. 675-680). Hillsdale. NJ: Lawrence Erlbaum Associates Plaza. E.. & Arcos . J. L. (1993). Reflection and analogy in memory-based learning. In R. S

  10. Effects of a Case-Based Reasoning System on Student Performance in a Java Programming Course

    Science.gov (United States)

    Schmidt, Cecil

    2007-01-01

    The purpose of this study was to determine if a case-based reasoning tool would improve a student's understanding of the complex concepts in a Java programming course. Subjects for the study were randomly assigned from two sections of an introductory Java programming course. Posttests were used to measure the effects of the case-based reasoning…

  11. Intelligent technique for knowledge reuse of dental medical records based on case-based reasoning.

    Science.gov (United States)

    Gu, Dong-Xiao; Liang, Chang-Yong; Li, Xing-Guo; Yang, Shan-Lin; Zhang, Pei

    2010-04-01

    With the rapid development of both information technology and the management of modern medical regulation, the generation of medical records tends to be increasingly intelligent. In this paper, Case-Based Reasoning is applied to the process of generating records of dental cases. Based on the analysis of the features of dental records, a case base is constructed. A mixed case retrieval method (FAIES) is proposed for the knowledge reuse of dental records by adopting Fuzzy Mathematics, which improves similarity algorithm based on Euclidian-Lagrangian Distance, and PULL & PUSH weight adjustment strategy. Finally, an intelligent system of dental cases generation (CBR-DENT) is constructed. The effectiveness of the system, the efficiency of the retrieval method, the extent of adaptation and the adaptation efficiency are tested using the constructed case base. It is demonstrated that FAIES is very effective in terms of reducing the time of writing medical records and improving the efficiency and quality. FAIES is also proven to be an effective aid for diagnoses and provides a new idea for the management of medical records and its applications.

  12. Application of Case-Based Reasoning to Intelligent Support System for Coordinating Land Conflicts

    Institute of Scientific and Technical Information of China (English)

    LI Hong-bo; TAN Shu-kui; ZHONG Hai-feng

    2007-01-01

    To establish the institutional mechanism for land conflict coordination in China, a case-based reasoning system is developed as an intelligent support and effective manner to resolve such issues. The establishment of the case library is discussed, previous land conflict cases are archived in a structural representation format for retrieval, and the similarity algorithm is adopted to compare the case features. Group tests show a good classification performance, which reveals that the system is feasible.

  13. Software Cost Estimation Model Based on Integration of Multi-agent and Case-Based Reasoning

    Directory of Open Access Journals (Sweden)

    Hasan Al-Sakran

    2006-01-01

    Full Text Available Accurate software cost estimation is a vital task that affects the firm's software investment decisions before committing required resources to that project or bidding for a contract. This study proposes an improved Case-Based Reasoning (CBR approach integrated with multi-agent technology to retrieve similar projects from multi-organizational distributed datasets. The study explores the possibility of building a software cost estimation model by collecting software cost data from distributed predefined project cost databases. The model applying CBR method to find similar projects in historical data derived from measured software projects developed by different organizations.

  14. The role of professional knowledge in case-based reasoning in practical ethics.

    Science.gov (United States)

    Pinkus, Rosa Lynn; Gloeckner, Claire; Fortunato, Angela

    2015-06-01

    The use of case-based reasoning in teaching professional ethics has come of age. The fields of medicine, engineering, and business all have incorporated ethics case studies into leading textbooks and journal articles, as well as undergraduate and graduate professional ethics courses. The most recent guidelines from the National Institutes of Health recognize case studies and face-to-face discussion as best practices to be included in training programs for the Responsible Conduct of Research. While there is a general consensus that case studies play a central role in the teaching of professional ethics, there is still much to be learned regarding how professionals learn ethics using case-based reasoning. Cases take many forms, and there are a variety of ways to write them and use them in teaching. This paper reports the results of a study designed to investigate one of the issues in teaching case-based ethics: the role of one's professional knowledge in learning methods of moral reasoning. Using a novel assessment instrument, we compared case studies written and analyzed by three groups of students whom we classified as: (1) Experts in a research domain in bioengineering. (2) Novices in a research domain in bioengineering. (3) The non-research group--students using an engineering domain in which they were interested but had no in-depth knowledge. This study demonstrates that a student's level of understanding of a professional knowledge domain plays a significant role in learning moral reasoning skills.

  15. PERPEST model, a case-based reasoning approach to predict ecological risks of pesticides

    NARCIS (Netherlands)

    Brink, van den P.J.; Roelsma, J.; Nes, van E.H.; Scheffer, M.; Brock, T.C.M.

    2002-01-01

    The present paper discusses PERPEST, a model that uses case-based reasoning to predict the effects of a particular concentration of a pesticide on a defined aquatic ecosystem, based on published information about the effects of pesticides on the structure and function of aquatic ecosystems as observ

  16. A model presented for classification ECG signals base on Case-Based Reasoning

    Directory of Open Access Journals (Sweden)

    Elaheh Sayari

    2013-07-01

    Full Text Available Early detection of heart diseases/abnormalities can prolong life and enhance the quality of living through appropriate treatment; thus classifying cardiac signals will be helped to immediate diagnosing of heart beat type in cardiac patients. The present paper utilizes the case base reasoning (CBR for classification of ECG signals. Four types of ECG beats (normal beat, congestive heart failure beat, ventricular tachyarrhythmia beat and atrial fibrillation beat obtained from the PhysioBank database was classified by the proposed CBR model. The main purpose of this article is classifying heart signals and diagnosing the type of heart beat in cardiac patients that in proposed CBR (Case Base Reasoning system, Training and testing data for diagnosing and classifying types of heart beat have been used. The evaluation results from the model are shown that the proposed model has high accuracy in classifying heart signals and helps to clinical decisions for diagnosing the type of heart beat in cardiac patients which indeed has high impact on diagnosing the type of heart beat aided computer.

  17. Case-Based Reasoning to Help Educators Design with Web 2.0

    Science.gov (United States)

    Tan, Verily; Kou, Xiaojing

    2014-01-01

    This study proposes the use of case-based reasoning to help educators design with Web 2.0. Principles for designing a web-enhanced case-based activity (CBA) were used to design an online professional development course for a group of 16 in-service educators. The Learning in Context model was used as a scaffold to help participants in their design…

  18. Case Based Reasoning Intelligent System for Network Computer Aided Process Planning

    Institute of Scientific and Technical Information of China (English)

    ZHAO Chunhua; WU Zhengjia; ZHOU Chengjun; ZHU Dalin; LI Haoping

    2006-01-01

    Computer aided process planning system played a key role for integrating design and manufacturing or assembly systems properly considering available resources and design constraints. To take advantage of the enterprise resource, the web CAPP framework was established. Case based reasoning and multi agent system were integrated in the system. The multi agent mechanism was discussed in the paper. And an instance of case base was introduced. They made the system run independently and continuously in the network environment of process planning problems.

  19. Signal Analysis of Automotive Engine Spark Ignition System using Case-Based Reasoning (CBR) and Case-based Maintenance (CBM)

    Science.gov (United States)

    Huang, H.; Vong, C. M.; Wong, P. K.

    2010-05-01

    With the development of modern technology, modern vehicles adopt electronic control system for injection and ignition. In traditional way, whenever there is any malfunctioning in an automotive engine, an automotive mechanic usually performs a diagnosis in the ignition system of the engine to check any exceptional symptoms. In this paper, we present a case-based reasoning (CBR) approach to help solve human diagnosis problem. Nevertheless, one drawback of CBR system is that the case library will be expanded gradually after repeatedly running the system, which may cause inaccuracy and longer time for the CBR retrieval. To tackle this problem, case-based maintenance (CBM) framework is employed so that the case library of the CBR system will be compressed by clustering to produce a set of representative cases. As a result, the performance (in retrieval accuracy and time) of the whole CBR system can be improved.

  20. Case-Based Reasoning for Slope Stability Evaluation and Its Application

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Slope is a non-linear and uncertain kinetic system affected by many factors. In view of the incompleteness and uncertainty of the information of slope stability evaluation, a new method of slope stability evaluation by using case-based reasoning is presented. Considering the sensitivity of attribute weights to the environment, the algorithm of attribute weights is set up on the basis of the concept of changeable weights. Calculating the similarity between target case of the slope and base case, the stability of target case is evaluated. It is shown from examples that the method is simple, visual, practical, and convenient for use.

  1. Multivariate Statistical Process Control and Case-Based Reasoning for situation assessment of Sequencing Batch Reactors

    OpenAIRE

    Ruiz Ordóñez, Magda Liliana

    2008-01-01

    ABSRACTThis thesis focuses on the monitoring, fault detection and diagnosis of Wastewater Treatment Plants (WWTP), which are important fields of research for a wide range of engineering disciplines. The main objective is to evaluate and apply a novel artificial intelligent methodology based on situation assessment for monitoring and diagnosis of Sequencing Batch Reactor (SBR) operation. To this end, Multivariate Statistical Process Control (MSPC) in combination with Case-Based Reasoning (CBR)...

  2. Multi-agent based decision Support System using Data Mining and Case Based Reasoning

    Directory of Open Access Journals (Sweden)

    S Srinivasan

    2011-07-01

    Full Text Available A knowledge-based society determines organizations to focus their activities on improving management quality by using knowledge. Huge data stores become important once the real significance of data is discovered. Data mining techniques are involved in different knowledge processes, as one can notice in various public applications of the researchers. Managers can use these techniques in order to extract patterns, relations, associations from data initially considered of little value. Over the past decade, case-based reasoning (CBR has emerged as a major research area within the artificial intelligence research field due to both its widespread usage by humans and its appeal as a methodology for building intelligent systems. More recently, there has been a search for new paradigms and directions for increasing the utility of CBR systems for decision support. This paper focuses on the synergism between the research areas of Data Mining, CBR System, Multi-agent System and decision support systems (DSSs. A conceptual framework for DSSs based on MAS using DM and CBRS is presented. Nowadays, intelligent agents represent an important opportunity to optimize knowledge management. The research implications of the evolution in the design of DSS based on MAS using DM and CBR systems from automation toward decision-aiding is also explored.

  3. Development of High-speed Machining Database with Case-based Reasoning

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Applying high-speed machining technology in shop floor has many benefits, such as manufacturing more accurate parts with better surface finishes. The selection of the appropriate machining parameters plays a very important role in the implementation of high-speed machining technology. The case-based reasoning is used in the developing of high-speed machining database to overcome the shortage of available high-speed cutting parameters in machining data handbooks and shop floors. The high-speed machining data...

  4. Determining an Appropriate Weight attribute in Fraud Call Rate Data Using Case Based Reasoning

    Directory of Open Access Journals (Sweden)

    Musa Bala Shuaibu

    2014-03-01

    Full Text Available Fraud cases are significantly causing huge revenue losses in telecommunication companies around the world. Although previous cases are very important data in dealing with fraud patterns, there are variations in the dataset of different fraud case scenarios which in turns need specific detection system without necessarily involving the domain expert directly. This paper investigates the appropriate weight values for attributes using fraud Call Rate Data that is based on Artificial Intelligence technique (Case Based Reasoning with a meaningful confidence in telecommunication data. The experimental result on the fraud data reports that the weight for all attribute used in this study needs to be set at 0.9 in order to get the best performance of 98.33%.

  5. Research on conflict resolution of collaborative design with fuzzy case-based reasoning method

    Institute of Scientific and Technical Information of China (English)

    HOU Jun-ming; SU Chong; LIANG Shuang; WANG Wan-shan

    2009-01-01

    Collaborative design is a new style for modern mechanical design to meet the requirement of increasing competition. Designers of different places complete the same work, but the conflict appears in the process of design which may interface the design. Case-based reasoning (CBR) method is applied to the problem of conflict resolution, which is in the artificial intelligence field. However, due to the uncertainties in knowledge representation, attribute description, and similarity measures of CBR, it is very difficult to find the similar cases from case database. A fuzzy CBR method was proposed to solve the problem of conflict resolution in collaborative design. The process of fuzzy CBR was introduced. Based on the feature attributes and their relative weights determined by a fuzzy technique, a fuzzy CBR retrieving mechanism was developed to retrieve conflict resolution cases that tend to enhance the functions of the database. By indexing, calculating the weight and defuzzicating of the cases, the case similarity can be obtained. Then the case consistency was measured to keep the right result. Finally, the fuzzy CBR method for conflict resolution was demonstrated by means of a case study. The prototype system based on web is developed to illustrate the methodology.

  6. Case-Based Reasoning Topological Complexity Calculation of Design for Components

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Directly calculating the topological and geometric complexity from the STEP (standard for the exchange of product model data, ISO 10303) file is a huge task. So, a case-based reasoning approach is presented, which is based on the similarity between the new component and the old one, to calculate the topological and geometric complexity of new components. In order to index, retrieve in historical component database, a new way of component representation is brought forth. And then an algorithm is given to extract topological graph from its STEP files. A mathematical model, which describes how to compare the similarity, is discussed. Finally, an example is given to show the result.

  7. Do Expert Clinical Teachers Have a Shared Understanding of What Constitutes a Competent Reasoning Performance in Case-Based Teaching?

    Science.gov (United States)

    Gauthier, Geneviève; Lajoie, Susanne P.

    2014-01-01

    To explore the assessment challenge related to case based learning we study how experienced clinical teachers--i.e., those who regularly teach and assess case-based learning--conceptualize the notion of competent reasoning performance for specific teaching cases. Through an in-depth qualitative case study of five expert teachers, we investigate…

  8. Prediction model for permeability index by integrating case-based reasoning with adaptive particle swarm optimization

    Institute of Scientific and Technical Information of China (English)

    Zhu Hongqiu; Yang Chunhua; Gui Weihua

    2009-01-01

    To effectively predict the permeability index of smelting process in the imperial smelting furnace, an intelligent prediction model is proposed. It integrates the case-based reasoning (CBR) with adaptive particle swarm optimization (PSO). The number of nearest neighbors and the weighted features vector are optimized online using the adaptive PSO to improve the prediction accuracy of CBR. The adaptive inertia weight and mutation operation are used to overcome the premature convergence of the PSO. The proposed method is validated a compared with the basic weighted CBR. The results show that the proposed model has higher prediction accuracy and better performance than the basic CBR model.

  9. Spatial and Temporal Wind Power Forecasting by Case-Based Reasoning Using Big-Data

    Directory of Open Access Journals (Sweden)

    Fabrizio De Caro

    2017-02-01

    Full Text Available The massive penetration of wind generators in electrical power systems asks for effective wind power forecasting tools, which should be high reliable, in order to mitigate the effects of the uncertain generation profiles, and fast enough to enhance power system operation. To address these two conflicting objectives, this paper advocates the role of knowledge discovery from big-data, by proposing the integration of adaptive Case Based Reasoning models, and cardinality reduction techniques based on Partial Least Squares Regression, and Principal Component Analysis. The main idea is to learn from a large database of historical climatic observations, how to solve the windforecasting problem, avoiding complex and time-consuming computations. To assess the benefits derived by the application of the proposed methodology in complex application scenarios, the experimental results obtained in a real case study will be presented and discussed.

  10. Search Using N-gram Technique Based Statistical Analysis for Knowledge Extraction in Case Based Reasoning Systems

    OpenAIRE

    Karthik, M. N.; Davis, Moshe

    2004-01-01

    Searching techniques for Case Based Reasoning systems involve extensive methods of elimination. In this paper, we look at a new method of arriving at the right solution by performing a series of transformations upon the data. These involve N-gram based comparison and deduction of the input data with the case data, using Morphemes and Phonemes as the deciding parameters. A similar technique for eliminating possible errors using a noise removal function is performed. The error tracking and elim...

  11. Bayesian network modeling method based on case reasoning for emergency decision-making

    Directory of Open Access Journals (Sweden)

    XU Lei

    2013-06-01

    Full Text Available Bayesian network has the abilities of probability expression, uncertainty management and multi-information fusion.It can support emergency decision-making, which can improve the efficiency of decision-making.Emergency decision-making is highly time sensitive, which requires shortening the Bayesian Network modeling time as far as possible.Traditional Bayesian network modeling methods are clearly unable to meet that requirement.Thus, a Bayesian network modeling method based on case reasoning for emergency decision-making is proposed.The method can obtain optional cases through case matching by the functions of similarity degree and deviation degree.Then,new Bayesian network can be built through case adjustment by case merging and pruning.An example is presented to illustrate and test the proposed method.The result shows that the method does not have a huge search space or need sample data.The only requirement is the collection of expert knowledge and historical case models.Compared with traditional methods, the proposed method can reuse historical case models, which can reduce the modeling time and improve the efficiency.

  12. Physiological sensor signals classification for healthcare using sensor data fusion and case-based reasoning.

    Science.gov (United States)

    Begum, Shahina; Barua, Shaibal; Ahmed, Mobyen Uddin

    2014-07-03

    Today, clinicians often do diagnosis and classification of diseases based on information collected from several physiological sensor signals. However, sensor signal could easily be vulnerable to uncertain noises or interferences and due to large individual variations sensitivity to different physiological sensors could also vary. Therefore, multiple sensor signal fusion is valuable to provide more robust and reliable decision. This paper demonstrates a physiological sensor signal classification approach using sensor signal fusion and case-based reasoning. The proposed approach has been evaluated to classify Stressed or Relaxed individuals using sensor data fusion. Physiological sensor signals i.e., Heart Rate (HR), Finger Temperature (FT), Respiration Rate (RR), Carbon dioxide (CO2) and Oxygen Saturation (SpO2) are collected during the data collection phase. Here, sensor fusion has been done in two different ways: (i) decision-level fusion using features extracted through traditional approaches; and (ii) data-level fusion using features extracted by means of Multivariate Multiscale Entropy (MMSE). Case-Based Reasoning (CBR) is applied for the classification of the signals. The experimental result shows that the proposed system could classify Stressed or Relaxed individual 87.5% accurately compare to an expert in the domain. So, it shows promising result in the psychophysiological domain and could be possible to adapt this approach to other relevant healthcare systems.

  13. Physiological Sensor Signals Classification for Healthcare Using Sensor Data Fusion and Case-Based Reasoning

    Directory of Open Access Journals (Sweden)

    Shahina Begum

    2014-07-01

    Full Text Available Today, clinicians often do diagnosis and classification of diseases based on information collected from several physiological sensor signals. However, sensor signal could easily be vulnerable to uncertain noises or interferences and due to large individual variations sensitivity to different physiological sensors could also vary. Therefore, multiple sensor signal fusion is valuable to provide more robust and reliable decision. This paper demonstrates a physiological sensor signal classification approach using sensor signal fusion and case-based reasoning. The proposed approach has been evaluated to classify Stressed or Relaxed individuals using sensor data fusion. Physiological sensor signals i.e., Heart Rate (HR, Finger Temperature (FT, Respiration Rate (RR, Carbon dioxide (CO2 and Oxygen Saturation (SpO2 are collected during the data collection phase. Here, sensor fusion has been done in two different ways: (i decision-level fusion using features extracted through traditional approaches; and (ii data-level fusion using features extracted by means of Multivariate Multiscale Entropy (MMSE. Case-Based Reasoning (CBR is applied for the classification of the signals. The experimental result shows that the proposed system could classify Stressed or Relaxed individual 87.5% accurately compare to an expert in the domain. So, it shows promising result in the psychophysiological domain and could be possible to adapt this approach to other relevant healthcare systems.

  14. Student Modeling using Case-Based Reasoning in Conventional Learning System

    Directory of Open Access Journals (Sweden)

    Indriana Hidayah

    2012-10-01

    Full Text Available Conventional face-to-face classrooms are still the main learning system applied in Indonesia. In assisting such conventional learning towards an optimal learning, formative evaluations are needed to monitor the progress of the class. This task can be very hard when the size of the class is large. Hence, this research attempted to create a classroom monitoring system based on student’s data of Department of Electrical Engineering and Information Technology UGM. In order to achieve the goal, a student modeling using Case-Based Reasoning (CBR was proposed. A generic student model based on jCOLIBRI 2.3 framework was developed. The model represented student’s knowledge of a subject. The result showed that the system was able to store and retrieve student’s data for suggestion of the current situation and formative evaluation for one of the subject in the Department.

  15. Protecting Web Services against DoS Attacks: A Case-Based Reasoning Approach

    Science.gov (United States)

    Pinzón, Cristian; de Paz, Juan F.; Zato, Carolina; Pérez, Javier

    The real-time detection is a key factor to detect and block DoS attacks within Web services. DoS attacks can be generated for different techniques that take advantage of points vulnerable within Web services. This paper describes a novel proposal based on a real time agent to classify user requests and detect and block malicious SOAP messages. The classification mechanism is based on a Case-Base Reasoning (CBR) model, where the different CBR phases are time bounded. Within the reuse phase of the CBR cycle is incorporated a mixture of experts to choose the most suitable technique of classification depending on the feature of the attack and the available time to solve the classification. A prototype of the architecture was developed and the results obtained are presented in this study.

  16. PREDIKSI CUACA MENGGUNAKAN METODE CASE BASED REASONING DAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM

    Directory of Open Access Journals (Sweden)

    Ria Chaniago

    2014-01-01

    Full Text Available Weather is one of the nature elements that can influence decision making in human's life. Based on that issue, the author wants to make an application that is able to predict weather with good accuracy. The application is a weather forecasting system, using computer technology that implements expert system. The methods used are Adaptive Neuro Fuzzy Inference System (ANFIS and Case Based Reasoning (CBR, and a combination of both methods will applied to the system. The system also has learning methods like Backpropagation Error (BPE and Recursive Least Error (RLSE, to increase its accuracy. Clustering and data cleaning also done inside the system, as it needed by forecasting process to achieve a good result. K-Means is the clustering algorithm, while Box and Whisker Plot is the algorithm for data cleaning. The result from this project is to create a weather forecasting system with high accuracy.

  17. A Novel Method in Food Safety Management by Using Case Base Reasoning Method

    Directory of Open Access Journals (Sweden)

    S. Saqaeeyan

    2015-09-01

    Full Text Available Today’s Food Industry has responsibility to provide most consuming food for people. These foods are consumed by large area of society. So they are important source of causes of diseases and food poisoning. Monitoring system have been created to control these diseases and they are used in duration of production step of food supply chain. Hazard Assurance Critical Control Point (HACCP is regarded as best method in safety system. Necessity to create integrated HACCP system forced factories to use intelligent methods to build HACCP for every production. This paper proposes Case-Based Reasoning (CBR technique and use of paired comparisons tables and similarity equations to create HACCP for food system of Sabz Nam Company. Our system is an intelligent system has based on RFID and it works as consulter by generating five proper safety suggestion to food expert. Finally we assess accuracy and efficiency of proposed system on real data of Sabz Nam Company.

  18. Integration of Rule Based Expert Systems and Case Based Reasoning in an Acute Bacterial Meningitis Clinical Decision Support System

    CERN Document Server

    Cabrera, Mariana Maceiras

    2010-01-01

    This article presents the results of the research carried out on the development of a medical diagnostic system applied to the Acute Bacterial Meningitis, using the Case Based Reasoning methodology. The research was focused on the implementation of the adaptation stage, from the integration of Case Based Reasoning and Rule Based Expert Systems. In this adaptation stage we use a higher level RBC that stores and allows reutilizing change experiences, combined with a classic rule-based inference engine. In order to take into account the most evident clinical situation, a pre-diagnosis stage is implemented using a rule engine that, given an evident situation, emits the corresponding diagnosis and avoids the complete process.

  19. A Case-based Reasoning Approach to Validate Grammatical Gender and Number Agreement in Spanish language

    Directory of Open Access Journals (Sweden)

    Jorge Bacca

    2013-03-01

    Full Text Available Across Latin America 420 indigenous languages are spoken. Spanish is considered a second language in indigenous communities and is progressively introduced in education. However, most of the tools to support teaching processes of a second language have been developed for the most common languages such as English, French, German, Italian, etc. As a result, only a small amount of learning objects and authoring tools have been developed for indigenous people considering the specific needs of their population. This paper introduces Multilingual–Tiny as a web authoring tool to support the virtual experience of indigenous students and teachers when they are creating learning objects in indigenous languages or in Spanish language, in particular, when they have to deal with the grammatical structures of Spanish. Multilingual–Tiny has a module based on the Case-based Reasoning technique to provide recommendations in real time when teachers and students write texts in Spanish. An experiment was performed in order to compare some local similarity functions to retrieve cases from the case library taking into account the grammatical structures. As a result we found the similarity function with the best performance

  20. Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

    Directory of Open Access Journals (Sweden)

    Fatima Zohra Benkaddour

    2016-12-01

    Full Text Available In spunlace nonwovens industry, the maintenance task is very complex, it requires experts and operators collaboration. In this paper, we propose a new approach integrating an agent- based modelling with case-based reasoning that utilizes similarity measures and preferences module. The main purpose of our study is to compare and evaluate the most suitable similarity measure for our case. Furthermore, operators that are usually geographically dispersed, have to collaborate and negotiate to achieve mutual agreements, especially when their proposals (diagnosis lead to a conflicting situation. The experimentation shows that the suggested agent-based approach is very interesting and efficient for operators and experts who collaborate in INOTIS enterprise.

  1. A case-based reasoning approach for estimating the costs of pump station projects

    Directory of Open Access Journals (Sweden)

    Mohamed M. Marzouk

    2011-10-01

    Full Text Available The effective estimation of costs is crucial to the success of construction projects. Cost estimates are used to evaluate, approve and/or fund projects. Organizations use some form of classification system to identify the various types of estimates that may be prepared during the lifecycle of a project. This research presents a parametric-cost model for pump station projects. Fourteen factors have been identified as important to the influence of the cost of pump station projects. A data set that consists of forty-four pump station projects (fifteen water and twenty-nine waste water are collected to build a Case-Based Reasoning (CBR library and to test its performance. The results obtained from the CBR tool are processed and adopted to improve the accuracy of the results. A numerical example is presented to demonstrate the development of the effectiveness of the tool.

  2. A case-based reasoning tool for breast cancer knowledge management with data mining concepts and techniques

    Science.gov (United States)

    Demigha, Souâd.

    2016-03-01

    The paper presents a Case-Based Reasoning Tool for Breast Cancer Knowledge Management to improve breast cancer screening. To develop this tool, we combine both concepts and techniques of Case-Based Reasoning (CBR) and Data Mining (DM). Physicians and radiologists ground their diagnosis on their expertise (past experience) based on clinical cases. Case-Based Reasoning is the process of solving new problems based on the solutions of similar past problems and structured as cases. CBR is suitable for medical use. On the other hand, existing traditional hospital information systems (HIS), Radiological Information Systems (RIS) and Picture Archiving Information Systems (PACS) don't allow managing efficiently medical information because of its complexity and heterogeneity. Data Mining is the process of mining information from a data set and transform it into an understandable structure for further use. Combining CBR to Data Mining techniques will facilitate diagnosis and decision-making of medical experts.

  3. Case based reasoning applied to medical diagnosis using multi-class classifier: A preliminary study

    Directory of Open Access Journals (Sweden)

    D. Viveros-Melo

    2017-02-01

    Full Text Available Case-based reasoning (CBR is a process used for computer processing that tries to mimic the behavior of a human expert in making decisions regarding a subject and learn from the experience of past cases. CBR has demonstrated to be appropriate for working with unstructured domains data or difficult knowledge acquisition situations, such as medical diagnosis, where it is possible to identify diseases such as: cancer diagnosis, epilepsy prediction and appendicitis diagnosis. Some of the trends that may be developed for CBR in the health science are oriented to reduce the number of features in highly dimensional data. An important contribution may be the estimation of probabilities of belonging to each class for new cases. In this paper, in order to adequately represent the database and to avoid the inconveniences caused by the high dimensionality, noise and redundancy, a number of algorithms are used in the preprocessing stage for performing both variable selection and dimension reduction procedures. Also, a comparison of the performance of some representative multi-class classifiers is carried out to identify the most effective one to include within a CBR scheme. Particularly, four classification techniques and two reduction techniques are employed to make a comparative study of multiclass classifiers on CBR

  4. Case-Based Reasoning(CBR) Model for Ultra-Fast Cooling in Plate Mill

    Institute of Scientific and Technical Information of China (English)

    HU Xiao,WANG Zhaodong,; WANG Guodong

    2014-01-01

    New generation thermo-mechanical control process(TMCP) based on ultra-fast cooling is being widely adopted in plate mill to product high-performance steel material at low cost. Ultra-fast cooling system is complex because of optimizing the temperature control error generated by heat transfer mathematical model and process parameters. In order to simplify the system and improve the temperature control precision in ultra-fast cooling process, several existing models of case-based reasoning(CBR) model are reviewed. Combining with ultra-fast cooling process, a developed R5 CBR model is proposed, which mainly improves the case representation, similarity relation and retrieval module. Certainty factor is defined in semantics memory unit of plate case which provides not only internal data reliability but also product performance reliability. Similarity relation is improved by defined power index similarity membership function. Retrieval process is simplified and retrieval efficiency is improved apparently by windmill retrieval algorithm. The proposed CBR model is used for predicting the case of cooling strategy and its capability is superior to traditional process model. In order to perform comprehensive investigations on ultra-fast cooling process, different steel plates are considered for the experiment. The validation experiment and industrial production of proposed CBR model are carried out, which demonstrated that finish cooling temperature(FCT) error is controlled within±25℃ and quality rate of product is more than 97%. The proposed CBR model can simplify ultra-fast cooling system and give quality performance for steel product.

  5. Case-based reasoning(CBR) model for ultra-fast cooling in plate mill

    Science.gov (United States)

    Hu, Xiao; Wang, Zhaodong; Wang, Guodong

    2014-11-01

    New generation thermo-mechanical control process(TMCP) based on ultra-fast cooling is being widely adopted in plate mill to product high-performance steel material at low cost. Ultra-fast cooling system is complex because of optimizing the temperature control error generated by heat transfer mathematical model and process parameters. In order to simplify the system and improve the temperature control precision in ultra-fast cooling process, several existing models of case-based reasoning(CBR) model are reviewed. Combining with ultra-fast cooling process, a developed R5 CBR model is proposed, which mainly improves the case representation, similarity relation and retrieval module. Certainty factor is defined in semantics memory unit of plate case which provides not only internal data reliability but also product performance reliability. Similarity relation is improved by defined power index similarity membership function. Retrieval process is simplified and retrieval efficiency is improved apparently by windmill retrieval algorithm. The proposed CBR model is used for predicting the case of cooling strategy and its capability is superior to traditional process model. In order to perform comprehensive investigations on ultra-fast cooling process, different steel plates are considered for the experiment. The validation experiment and industrial production of proposed CBR model are carried out, which demonstrated that finish cooling temperature(FCT) error is controlled within ±25°C and quality rate of product is more than 97%. The proposed CBR model can simplify ultra-fast cooling system and give quality performance for steel product.

  6. Design System of the Two-step Gear Reducer on Case-based Reasoning

    Institute of Scientific and Technical Information of China (English)

    JI Aimin; HUANG Quansheng; HUANG Quansheng; XU Huanmin; CHEN Zhengming

    2009-01-01

    The design of the two-step gear reducer is a tedious and time-consuming process. For the purpose of improving the efficiency and intelligence of design process, case-based reasoning(CBR) technology was applied to the design of the two-step gear reducer. Firstly, the current design method for the two-step gear reducer was analyzed and the principle of CBR was described. Secondly, according to the characteristics of the reducer, three key technologies of CBR were studied and the corresponding methods were provided, which are as follows:(a) an object-oriented knowledge representation method, (b) a retrieval method combining the nearest neighbor with the induction indexing, and (c) a case adaptation algorithm combining the revision based on rule with artificial revision. Also, for the purpose of improving the credibility of case retrieval, a new method for determining the weights of characteristics and a similarity formula were presented, which is a combinatorial weighting method with the analytic hierarchy process(AHP) and roughness set theory. Lastly, according to the above analytic results, a design system of the two-step gear reducer on CBR was developed by VC++, UG and Access 2003.A new method for the design of the two-step gear reducer is provided in this study. If the foregoing developed system is applied to design the two-step gear reducer, design efficiency is improved, which enables the designer to release from the tedious design process of the gear reducer so as to put more efforts on innovative design. The study result fully reflects the feasibility and validity of CBR technology in the process of the design of the mechanical parts.

  7. The Effect of a Case-Based Reasoning Instructional Model on Korean High School Students' Awareness in Climate Change Unit

    Science.gov (United States)

    Jeong, Jinwoo; Kim, Hyoungbum; Chae, Dong-hyun; Kim, Eunjeong

    2014-01-01

    The purpose of this study is to investigate the effects of the case-based reasoning instructional model on learning about climate change unit. Results suggest that students showed interest because it allowed them to find the solution to the problem and solve the problem for themselves by analogy from other cases such as crossword puzzles in an…

  8. Case-based knowledge formalization and reasoning method for digital terrain analysis - application to extracting drainage networks

    Science.gov (United States)

    Qin, Cheng-Zhi; Wu, Xue-Wei; Jiang, Jing-Chao; Zhu, A.-Xing

    2016-08-01

    Application of digital terrain analysis (DTA), which is typically a modeling process involving workflow building, relies heavily on DTA domain knowledge of the match between the algorithm (and its parameter settings) and the application context (including the target task, the terrain in the study area, the DEM resolution, etc.), which is referred to as application-context knowledge. However, existing DTA-assisted tools often cannot use application-context knowledge because this type of DTA knowledge has not been formalized to be available for inference in these tools. This situation makes the DTA workflow-building process difficult for users, especially non-expert users. This paper proposes a case-based formalization for DTA application-context knowledge and a corresponding case-based reasoning method. A case in this context consists of a series of indices that formalize the DTA application-context knowledge and the corresponding similarity calculation methods for case-based reasoning. A preliminary experiment to determine the catchment area threshold for extracting drainage networks has been conducted to evaluate the performance of the proposed method. In the experiment, 124 cases of drainage network extraction (50 for evaluation and 74 for reasoning) were prepared from peer-reviewed journal articles. Preliminary evaluation shows that the proposed case-based method is a suitable way to use DTA application-context knowledge to achieve a marked reduction in the modeling burden for users.

  9. Emerging medical informatics with case-based reasoning for aiding clinical decision in multi-agent system.

    Science.gov (United States)

    Shen, Ying; Colloc, Joël; Jacquet-Andrieu, Armelle; Lei, Kai

    2015-08-01

    This research aims to depict the methodological steps and tools about the combined operation of case-based reasoning (CBR) and multi-agent system (MAS) to expose the ontological application in the field of clinical decision support. The multi-agent architecture works for the consideration of the whole cycle of clinical decision-making adaptable to many medical aspects such as the diagnosis, prognosis, treatment, therapeutic monitoring of gastric cancer. In the multi-agent architecture, the ontological agent type employs the domain knowledge to ease the extraction of similar clinical cases and provide treatment suggestions to patients and physicians. Ontological agent is used for the extension of domain hierarchy and the interpretation of input requests. Case-based reasoning memorizes and restores experience data for solving similar problems, with the help of matching approach and defined interfaces of ontologies. A typical case is developed to illustrate the implementation of the knowledge acquisition and restitution of medical experts.

  10. Reasoning based in cases applied to diagnosis of electric generators; Razonamiento basado en casos aplicado al diagnostico de generadores electricos

    Energy Technology Data Exchange (ETDEWEB)

    De la Torre Vega, H. Octavio; Garcia Tevillo, Arturo; Campuzano Martinez, Roberto [Instituto de Investigaciones Electricas, Temixco, Morelos (Mexico); Lopez Azamar, Ernesto [Comision Federal de Electricidad (Mexico)

    2000-07-01

    The development of a system for the diagnosis of electrical generators that apply techniques of artificial intelligence, is presented, as it is the reasoning based on cases, to support the work of the diagnosis engineer. This system is part of a system called CADIS, dedicated to the diagnosis of electrical generators out of line and reason of previous articles. In this occasion the characteristics of the reasoning module based on experiences (SirBE) are emphasized, indicating how to make a diagnosis using similar cases and how to edit the system base of experience, using the interactive editor of cases. It is included, in addition, a summarized example which represents a case for SirBE and how the system helps to make a diagnosis. [Spanish] Se presenta el desarrollo de un sistema de diagnostico de generadores electricos que aplica tecnicas de inteligencia artificial, como es el razonamiento basado en casos, para apoyar la labor del ingeniero de diagnostico. Este sistema es parte de un sistema denominado CADIS, dedicado al diagnostico de generadores electricos fuera de linea y motivo de articulos anteriores. En esta ocasion se resaltan las caracteristicas del modulo de razonamiento basado en experiencias (SirBE), indicando como realizar un diagnostico utilizando casos similares y como editar la base de experiencia del sistema utilizando el editor interactivo de casos. Se incluye, ademas, un ejemplo resumido de lo que representa un caso para SiRBE y como el sistema ayuda a realizar un diagnostico.

  11. Fuzzy Case-Based Reasoning in Product Style Acquisition Incorporating Valence-Arousal-Based Emotional Cellular Model

    Directory of Open Access Journals (Sweden)

    Fuqian Shi

    2012-01-01

    Full Text Available Emotional cellular (EC, proposed in our previous works, is a kind of semantic cell that contains kernel and shell and the kernel is formalized by a triple- L = , where P denotes a typical set of positive examples relative to word-L, d is a pseudodistance measure on emotional two-dimensional space: valence-arousal, and δ is a probability density function on positive real number field. The basic idea of EC model is to assume that the neighborhood radius of each semantic concept is uncertain, and this uncertainty will be measured by one-dimensional density function δ. In this paper, product form features were evaluated by using ECs and to establish the product style database, fuzzy case based reasoning (FCBR model under a defined similarity measurement based on fuzzy nearest neighbors (FNN incorporating EC was applied to extract product styles. A mathematical formalized inference system for product style was also proposed, and it also includes uncertainty measurement tool emotional cellular. A case study of style acquisition of mobile phones illustrated the effectiveness of the proposed methodology.

  12. DALI - drilling advisor with logic interpretations: methodological issues for designing underbalanced drilling operations. Improving efficiency using case-based reasonic

    Energy Technology Data Exchange (ETDEWEB)

    Santana, Gustavo A.; Velazquez C, David [Mexican Oil Institute, Mexico DF (Mexico)

    2004-07-01

    A system that applies a method of knowledge-intensive case-based reasoning, for repair and prevention of unwanted events in the domain of offshore oil well drilling, has been developed in cooperation with an oil company. From several reoccurring problems during oil well drilling the problem of 'lost circulation', i.e. loss of circulating drilling fluid into the geological formation, was picked out as a pilot problem. An extensive general knowledge model was developed for the domain of oil well drilling. Different cases were created on the basis of information from one Mexican Gulf operator. When the completed CBR-system was tested against a new case, cases with descending similarity were selected by the tool. In an informal evaluation, the two best fitting cases proved to give the operator valuable advise on how to go about solving the new case (author)

  13. Implementation of Case-Based Reasoning System for Knowledge Management of Power Plant Construction Projects in a Korean Company

    Science.gov (United States)

    Jang, Gil-Sang

    Recently, plant construction industries are enjoying a favorable business climate centering around developing countries and oil producing countries rich in oil money. This paper proposes a methodology of implementing corporation-wide case-based reasoning (CBR) system for effectively managing lessons learned knowledge like experiences and know-how obtained in performing power plant construction projects. Our methodology is consisted of 10 steps: user requirement analysis, information modeling, case modeling, case base design, similarity function design, user interface design, case base building, CBR module development, user interface development, integration test. Also, to illustrate the usability of proposed methodology, the practical CBR system is implemented for the plant construction business division of ’H’ company which has international competitiveness in the field of plant construction industry. At present, our CBR system is successfully utilizing as storing, sharing, and reusing the knowledge which is accumulated in performing power plant construction projects in the target enterprise.

  14. Model-Based Reasoning

    Science.gov (United States)

    Ifenthaler, Dirk; Seel, Norbert M.

    2013-01-01

    In this paper, there will be a particular focus on mental models and their application to inductive reasoning within the realm of instruction. A basic assumption of this study is the observation that the construction of mental models and related reasoning is a slowly developing capability of cognitive systems that emerges effectively with proper…

  15. AN INTERVENTION-BASED CLINICAL REASONING FRAMEWORK TO GUIDE THE MANAGEMENT OF THORACIC PAIN IN A DANCER: A CASE REPORT

    Science.gov (United States)

    Kirker, Kaitlin; Collins, Cristiana Kahl; Hanney, William; Liu, Xinliang

    2016-01-01

    Background and Purpose As a result of the anatomical proximity of the thoracic spine to the cervical, lumbar, and shoulder regions, dysfunction in the thoracic spine can influence pain, mobility, and stability across these areas. Currently, a paucity of evidence exists addressing treatment of individuals with primary thoracic pain, especially in young, athletic patients. Furthermore, current research discussing clinical reasoning frameworks focus on the differential diagnostic process. The purpose of this case report was to present a framework that describes the clinical reasoning process for the implementation and sequencing of procedural interventions for the management of a dancer with thoracic pain. Case Description A 21-year-old female dancer presented to physical therapy with a medical diagnosis of thoracic pain. The patient reported exacerbation of left thoracic pain with prolonged sitting, twisting/arching her back during dance, and lifting >15 lbs overhead. Examination revealed hypomobility with positive pain provocation during mobility testing of T1-T3 and the sternocostal junction of ribs 2-4, with associated muscle guarding palpated in the left iliocostalis thoracis and levator scapulae. Outcomes Following 10 visits, the patient had no pain, no functional deficits, and a Global Rating of Change (GROC) of + 6. She returned to full competition, and a 3-month follow-up revealed continued success with dancing and a GROC of +7. Discussion This case report described the successful management of a dancer with primary thoracic pain using a clinical reasoning framework for the sequencing of procedural interventions, while incorporating Olson's impairment-based classification system. A combination of manual therapy techniques and neuromuscular control exercises were incorporated to address mobility, stability, mobility on stability, and skill level impairments, which allowed the patient to return to dance activities safely. Future studies should consider the

  16. Case-Based Reasoning Method in Cost Estimation of Drilling Wells

    OpenAIRE

    Hossein Shams Mianaei; Seyed Hossein Iranmanesh

    2013-01-01

    Aim of study is the cost estimation of drilling6T8T 6T8Twells6T8T 6T8Tusing6T Case-Based 6TReasoning6T8T (CBR) method which6T8T is created based6T8T 6T8Ton6T8T 6T8Tthe6T8T 6T8Tviewpoint of using presented6T8T 6T8Tsolutions6T8T 6T8Tfor6T8T 6T8Tprevious6T8T 6T8Tsolved6T8T 6T8Tproblems6T8T in order 6T8Tto solve6T8T new 6T8Tsimilar problems6T8T. 6T8TIn companies6T8T 6T8Tor6T8T 6T8Torganizations6T8T which 6T8Tcost estimation, scheduling,6T8T 6T8Tdesign6T8T, planning 6T8Tand project activities6T8T ...

  17. Case Studies of Secondary School Teachers Designing Socioscientific Issues-Based Instruction and Their Students' Socioscientific Reasoning

    Science.gov (United States)

    Karahan, Engin

    Addressing socioscientific issues (SSI) has been one of the main focuses in science education since the Science, Technology, and Society (STS) movement in the 1970s (Levinson, 2006); however, teaching controversial socioscientific issues has always been challenging for teachers (Dillon, 1994; Osborne, Duschl, & Fairbrother, 2002). Although teachers exhibit positive attitudes for using controversial socioscientific issues in their science classrooms, only a small percentage of them actually incorporate SSI content into their science curricula on a regular basis (Sadler, Amirshokoohi, Kazempour, & Allspaw, 2006; Lee & Witz, 2009). The literature in science education has highlighted the signi?cant relationships among teacher beliefs, teaching practices, and student learning (Bryan & Atwater, 2002; King, Shumow, & Lietz, 2001; Lederman, 1992). Despite the fact that the case studies present a relatively detailed picture of teachers' values and motivations for teaching SSI (e.g. Lee, 2006; Lee & Witz, 2009; Reis & Galvao, 2004), these studies still miss the practices of these teachers and potential outcomes for their students. Therefore, there is a great need for in-depth case studies that would focus on teachers' practices of designing and teaching SSI-based learning environments, their deeper beliefs and motivations for teaching SSI, and their students' response to these practices (Lee, 2006). This dissertation is structured as three separate, but related, studies about secondary school teachers' experiences of designing and teaching SSI-based classes and their students' understanding of science and SSI reasoning. The case studies in this dissertation seek answers for (1) teachers' practices of designing and teaching SSI-based instruction, as well as its relation to their deeper personal beliefs and motivations to teach SSI, and (2) how their students respond to their approaches of teaching SSI in terms of their science understanding and SSI reasoning. The first paper

  18. A combined data mining approach using rough set theory and case-based reasoning in medical datasets

    Directory of Open Access Journals (Sweden)

    Mohammad Taghi Rezvan

    2014-06-01

    Full Text Available Case-based reasoning (CBR is the process of solving new cases by retrieving the most relevant ones from an existing knowledge-base. Since, irrelevant or redundant features not only remarkably increase memory requirements but also the time complexity of the case retrieval, reducing the number of dimensions is an issue worth considering. This paper uses rough set theory (RST in order to reduce the number of dimensions in a CBR classifier with the aim of increasing accuracy and efficiency. CBR exploits a distance based co-occurrence of categorical data to measure similarity of cases. This distance is based on the proportional distribution of different categorical values of features. The weight used for a feature is the average of co-occurrence values of the features. The combination of RST and CBR has been applied to real categorical datasets of Wisconsin Breast Cancer, Lymphography, and Primary cancer. The 5-fold cross validation method is used to evaluate the performance of the proposed approach. The results show that this combined approach lowers computational costs and improves performance metrics including accuracy and interpretability compared to other approaches developed in the literature.

  19. Credit Assignment and the Problem of Competing Factors in Case-Based Reasoning

    Science.gov (United States)

    1988-01-01

    similar to the dropping of an antecedent condition to test its necessity as is done in mathematics and the use of the near miss in machine learning...U Potentially more-on-point - a case won by the opposing side that would be a most-on-point case if certain factors, currently " near - misses " in the...problem situation, were actually present. A factor is a near - miss if the problem situation contains all the information needed to tell if the factor

  20. Contribution of Case Based Reasoning (CBR) in the Exploitation of Return of Experience. Application to Accident Scenarii in Railroad Transport

    CERN Document Server

    Maalel, Ahmed

    2012-01-01

    The study is from a base of accident scenarii in rail transport (feedback) in order to develop a tool to share build and sustain knowledge and safety and secondly to exploit the knowledge stored to prevent the reproduction of accidents / incidents. This tool should ultimately lead to the proposal of prevention and protection measures to minimize the risk level of a new transport system and thus to improve safety. The approach to achieving this goal largely depends on the use of artificial intelligence techniques and rarely the use of a method of automatic learning in order to develop a feasibility model of a software tool based on case based reasoning (CBR) to exploit stored knowledge in order to create know-how that can help stimulate domain experts in the task of analysis, evaluation and certification of a new system.

  1. Designing Intelligent Tutoring Systems: A Personalization Strategy using Case-Based Reasoning and Multi-Agent Systems

    Directory of Open Access Journals (Sweden)

    Carolina GONZÁLEZ

    2013-05-01

    Full Text Available Intelligent Tutoring Systems (ITSs are educational systems that use artificial intelligence techniques for representing the knowledge. ITSs design is often criticized for being a complex and challenging process. In this article, we propose a framework for the ITSs design using Case Based Reasoning (CBR and Multiagent systems (MAS. The major advantage of using CBR is to allow the intelligent system to propose smart and quick solutions to problems, even in complex domains, avoiding the time necessary to derive those solutions from scratch. The use of intelligent agents and MAS architectures supports the retrieval of similar students models and the adaptation of teaching strategies according to the student profile. We describe deeply how the combination of both technologies helps to simplify the design of new ITSs and personalize the e-learning process for each student

  2. Continuity and change in the development of category-based induction: The test case of diversity-based reasoning.

    Science.gov (United States)

    Rhodes, Marjorie; Liebenson, Peter

    2015-11-01

    The present research examined the extent to which the cognitive mechanisms available to support inductive inference stay constant across development or undergo fundamental change. Four studies tested how children (ages 5-10) incorporate information about sample composition into their category-based generalizations. Children's use of sample composition varied across age and type of category. For familiar natural kinds, children ages 5-8 generalized similarly from diverse and non-diverse samples of evidence, whereas older children generalized more broadly from more diverse sets. In contrast, for novel categories, children of each age made broader generalizations from diverse than non-diverse samples. These studies provide the first clear evidence that young children are able to incorporate sample diversity into their inductive reasoning. These findings suggest developmental continuity in the cognitive mechanisms available for inductive inference, but developmental changes in the role that prior knowledge plays in shaping these processes.

  3. 交互式基于范例的推理及应用研究%Conversation Case-based Reasoning and its Applications

    Institute of Scientific and Technical Information of China (English)

    王清毅; 刘钧; 唐守涛; 蔡庆生

    2001-01-01

    The traditional case-based reasoning has three drawbacks at least. They are(1) that solves the problems with Static fashions; (2)requires user to input a complete description of the problems to be solved;(3)and the system function is somewhat single. Conversation case-based reasoning can solve the above problems. This paper conducts the research and discuss to the new resarch method from the con-cept ,research congress,reasoning process,current research problems ,applications and the future direc-tions.

  4. Design of computer integrated manufacturing and educational system using decision support system, and case base reasoning in concurrent engineering environment

    Directory of Open Access Journals (Sweden)

    2012-10-01

    Full Text Available The main objective of this paper is to address the concept and design of a computerintegrated manufacturing (CIM and intelligent educational system in concurrent engineeringenvironment for Saipa Automotive Industry in Iran. In order to increase speed of design andprocess planning and manufacturing, a feature based approach and case base reasoning technicfor acquiring design specification and compare with previously designed 'features and retrieverelated process planed and modify for new parts. In order to design and plan effectively, onemust have a view of how the enterprise works in CIM environment, and what informationneeds. In this paper we will discuss a general model, in terms of its functions, what each areadoes, and how each area interacts with the others. we will also discuss the support functions,administration, application development and decision support functions that are common toalmost every enterprise. We will also describe the architectural requirements for implementinga computer integrated manufacturing strategy in computer based concurrent engineeringenvironment and how this architecture can support the entire enterprise in terms of itsfunctional, information resource and organizational needs.

  5. Estimation of the monthly average daily solar radiation using geographic information system and advanced case-based reasoning.

    Science.gov (United States)

    Koo, Choongwan; Hong, Taehoon; Lee, Minhyun; Park, Hyo Seon

    2013-05-07

    The photovoltaic (PV) system is considered an unlimited source of clean energy, whose amount of electricity generation changes according to the monthly average daily solar radiation (MADSR). It is revealed that the MADSR distribution in South Korea has very diverse patterns due to the country's climatic and geographical characteristics. This study aimed to develop a MADSR estimation model for the location without the measured MADSR data, using an advanced case based reasoning (CBR) model, which is a hybrid methodology combining CBR with artificial neural network, multiregression analysis, and genetic algorithm. The average prediction accuracy of the advanced CBR model was very high at 95.69%, and the standard deviation of the prediction accuracy was 3.67%, showing a significant improvement in prediction accuracy and consistency. A case study was conducted to verify the proposed model. The proposed model could be useful for owner or construction manager in charge of determining whether or not to introduce the PV system and where to install it. Also, it would benefit contractors in a competitive bidding process to accurately estimate the electricity generation of the PV system in advance and to conduct an economic and environmental feasibility study from the life cycle perspective.

  6. Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Jie Dou

    2015-04-01

    Full Text Available This paper proposes an automatic method for detecting landslides by using an integrated approach comprising object-oriented image analysis (OOIA, a genetic algorithm (GA, and a case-based reasoning (CBR technique. It consists of three main phases: (1 image processing and multi-image segmentation; (2 feature optimization; and (3 detecting landslides. The proposed approach was employed in a fast-growing urban region, the Pearl River Delta in South China. The results of detection were validated with the help of field surveys. The experimental results indicated that the proposed OOIA-GA-CBR (0.87 demonstrates higher classification performance than the stand-alone OOIA (0.75 method for detecting landslides. The area under curve (AUC value was also higher than that of the simple OOIA, indicating the high efficiency of the proposed landslide detection approach. The case library created using the integrated model can be reused for time-independent analysis, thus rendering our approach superior in comparison to other traditional methods, such as the maximum likelihood classifier. The results of this study thus facilitate fast generation of accurate landslide inventory maps, which will eventually extend our understanding of the evolution of landscapes shaped by landslide processes.

  7. 基于典型事例推理的路径规划方法研究%A Path Planning Algorithm Based on Typical Case Reasoning

    Institute of Scientific and Technical Information of China (English)

    翁敏; 魏秀琴; 瞿嵘; 蔡忠亮

    2009-01-01

    Case-based reasoning is an AI technique in which the previous solutions are stored for future use. People are used to guiding themselves according to those routes that are stored in their memories and have been used by them before. It is just based on people's preference to familiar routes, which are gained through the study of the cognitive activities. We propose to apply the intelligent method based on the case reasoning to path planning. It is impossible for a case base to store all the solutions to all the shortest paths; therefore, part of them should be stored. However, which routes should be stored and which should not be? How do we adapt the cases that have already been stored and how do we acquire the shortest route based on them? All these issues need to be explained by integrating knowledge of the network on account of case-based reasoning techniques. This paper suggests the case-based reasoning in another point. This means finding some irreplaceable links on the basis of the complete analysis of the problems space, which are called the must_be_passed link between the source and destination. Merely compute the shortest path case from those best exit/entry nodes of the grids to the irreplaceable links, and then add them into the case base storing for future use. This method is based on case-based reasoning technique and com-pletely considers the properties of the problem space. In addition to the use of knowledge of the natural grid in the route network, this method is more efficient than existing algorithms on computing efficiency.

  8. The Effect of a Case-Based Reasoning Instructional Model on Korean High School Students' Awareness in Climate Change Unit

    Science.gov (United States)

    Jeong, Jinwoo; Kim, Hyoungbum; Chae, Dong-hyun; Kim, Eunjeong

    2014-01-01

    The purpose of this study is to investigate the effects of the case-based reasoning instructional model on learning about climate change unit. Results suggest that students showed interest because it allowed them to find the solution to the problem and solve the problem for themselves by analogy from other cases such as crossword puzzles in an…

  9. IMPLEMENTASI CASE BASE REASONING PADA SISTEM PENDUKUNG KEPUTUSAN KESEHATAN UNTUK PENANGANAN DINI PADA KECELAKAAN DENGAN METODE HERBAL

    Directory of Open Access Journals (Sweden)

    Rima Nurasmi

    2012-05-01

    Full Text Available Perkembangan teknologi informasi yang semakin cepat, semakin berat pula kemampuan komputer dalam membantu menyelesaikan permasalahan di berbagai bidang di antaranya adalah sistem pendukung keputusan berbasis komputer, seperti pada pengambilan keputusan dalam penanganan dini pada kecelakaan dalam lingkup rumah tangga. Perlu penanganan atau pertolongan segera agar terhindar dari kondisi yang lebih parah, dalam penanganan ini dapat dilakukan dengan menggunakan tanaman herbal. Kebanyakan masyarakat tidak tahu akan kegunaan dari tanaman herbal tersebut terutama untuk penanganan dini pada kecelakaan, untuk itu diperlukan suatu sistem pendukung keputusan untuk penanganan dini pada kecelakaan dengan metode herbal. Model yang digunakan dalam pengambilan keputusan adalah Case Base Reasoning, yang menitikberatkan pemecahan masalah dengan didasarkan pada knowledge dari kasus-kasus sebelumnya. Langkah pengembangan aplikasi diawali dengan analisis kebutuhan sistem yaitu analisis input, proses, dan output, kemudian dilakukan perancangan sistem yang berupa desain pemodelan data dan pemodelan proses. Perancangan sistem diimplementasikan ke dalam bahasa pemrograman Visual Basic 6.0 dan menggunakan Access. Hasil penelitian ini adalah aplikasi pendukung keputusan untuk penanganan dini pada kecelakaan dalam lingkup rumah tangga dengan metode herbal. Aplikasi ini telah diuji dengan menggunakan black box test dan alpha test, dan diperoleh kesimpulan bahwa aplikasi ini dinyatakan baik dan layak digunakan.

  10. 基于知识发现的范例推理系统%Case-Based Reasoning System Based on Knowledge Discovery

    Institute of Scientific and Technical Information of China (English)

    倪志伟; 蔡庆生

    2003-01-01

    Nowadays the research and exploitation of the case-based system are getting more and more attention.Case-Based Reasoning (CBR) is a strategy for solving the object cases based on the source cases that are prompted bythe object ones. CBR is not only a psychological theory for human knowledge, but will be a new cornerstone of theintelligent computer system technology. The case-based system is adopted in more and more application fields in orderto obtain better results, especially in the fields with ill-defined and no expert knowledge. But there is a lot of knowl-edge required in CBR, and we are also faced with the same knowledge acquisition bottleneck as in the expert systems.Data Mining (DM) and Knowledge Discovery in Database (KDD) are just the most useful means to solve this kind ofproblem in order to make the knowledge acquisition more automated . In this paper, we discuss the data mining tech-nology in CBR, especially we raise knowledge discovery in case base (KDC) and discuss this concept in detail. Final-ly, the structure of CBR based on DM is put forward.

  11. Integrated case learning: teaching clinical reasoning.

    Science.gov (United States)

    Radomski, Natalie; Russell, John

    2010-05-01

    Learning how to 'think like doctors' can be difficult for undergraduate medical students in their early clinical years. Our model of collaborative Integrated Case Learning (ICL) and simulated clinical reasoning aims to address these issues. Taking a socio-cultural perspective, this study investigates the reflective learning interactions and practices of clinical thinking that emerged in the ICL environment. We also explore how third year medical students perceived their ICL experiences in relation to the clinical situations encountered in the hospital setting. The context for the inquiry is a rural Clinical School in North West Victoria, Australia. We used a qualitative case study methodology following eight third-year medical students over an academic year. Individual and group interviews were conducted, together with observations and document/artefact analysis. Data was analysed using content and narrative methods. The ICL program was well received. Findings suggest that the group-based, simulated clinical reasoning process appears to help undergraduate medical students to rehearse, articulate and question their clinical decision-making pathways. We argue that the ICL process offers a professionally challenging, but supportive group learning 'space' for students to practise what it might mean to 'think', 'talk' and 'perform' like doctors in real settings. The ICL environment also appears to create a connective bridge between the 'classroom' and clinical practice.

  12. A Framework of Combining Case-Based Reasoning with a Work Breakdown Structure for Estimating the Cost of Online Course Production Projects

    Science.gov (United States)

    He, Wu

    2014-01-01

    Currently, a work breakdown structure (WBS) approach is used as the most common cost estimation approach for online course production projects. To improve the practice of cost estimation, this paper proposes a novel framework to estimate the cost for online course production projects using a case-based reasoning (CBR) technique and a WBS. A…

  13. Improving the Proactive Recommendation in Smart Home Environments: An Approach Based on Case Based Reasoning and BP-Neural Network

    Directory of Open Access Journals (Sweden)

    Gouttaya Nesrine

    2015-06-01

    Full Text Available Providing spontaneously personalized services to users, at anytime, anywhere and through any devices represent the main objective of pervasive computing. Smart home is an intelligent environment that can provide dozens or even hundreds of smart services. In this paper, we propose an approach to present spontaneously and continuously the most relevant services to the user in response to any significant change of his context. Our approach allows, firstly to assist proactively the user in the tasks of his/her daily life and secondly to help him/her to save energy in the smart home environment. The proposed approach is based on the use of context history information together with user profiling and machine learning techniques. Experimental results show that our approach can efficiently provide the most useful services to the user in a smart home environment.

  14. Multivariate Principal Component Analysis and Case-Based Reasoning for monitoring, fault detection and diagnosis in a WWTP

    DEFF Research Database (Denmark)

    Ruiz, Magda; Sin, Gürkan; Berjaga, Xavier;

    2011-01-01

    problems and propose appropriate solutions (hence diagnosis) based on previously stored cases. The methodology is evaluated on a pilot-scale SBR performing nitrogen, phosphorus and COD removal and to help to diagnose abnormal situations in the process operation. Finally, it is believed that the methodology...

  15. The Use of Case-Based Learning in the Development of Student Teachers' Levels of Moral Reasoning

    Science.gov (United States)

    O'Flaherty, Joanne; McGarr, Oliver

    2014-01-01

    The important role of the teacher in developing morally sensitive individuals is widely acknowledged. This paper examines the integration of context-specific moral development interventions within a four-year undergraduate teacher education programme in Ireland. The intervention strategy employed a case-based pedagogical approach where…

  16. Screening of pollution control and clean-up materials for river chemical spills using the multiple case-based reasoning method with a difference-driven revision strategy.

    Science.gov (United States)

    Liu, Rentao; Jiang, Jiping; Guo, Liang; Shi, Bin; Liu, Jie; Du, Zhaolin; Wang, Peng

    2016-06-01

    In-depth filtering of emergency disposal technology (EDT) and materials has been required in the process of environmental pollution emergency disposal. However, an urgent problem that must be solved is how to quickly and accurately select the most appropriate materials for treating a pollution event from the existing spill control and clean-up materials (SCCM). To meet this need, the following objectives were addressed in this study. First, the material base and a case base for environment pollution emergency disposal were established to build a foundation and provide material for SCCM screening. Second, the multiple case-based reasoning model method with a difference-driven revision strategy (DDRS-MCBR) was applied to improve the original dual case-based reasoning model method system, and screening and decision-making was performed for SCCM using this model. Third, an actual environmental pollution accident from 2012 was used as a case study to verify the material base, case base, and screening model. The results demonstrated that the DDRS-MCBR method was fast, efficient, and practical. The DDRS-MCBR method changes the passive situation in which the choice of SCCM screening depends only on the subjective experience of the decision maker and offers a new approach to screening SCCM.

  17. Context based support for Clinical Reasoning

    DEFF Research Database (Denmark)

    Vilstrup Pedersen, Klaus

    2004-01-01

    In many areas of the medical domain, the decision process i.e. reasoning, involving health care professionals is distributed, cooperative and complex. Computer based decision support systems has usually been focusing on the outcome of the decision making and treated it as a single task. In this p......In many areas of the medical domain, the decision process i.e. reasoning, involving health care professionals is distributed, cooperative and complex. Computer based decision support systems has usually been focusing on the outcome of the decision making and treated it as a single task....... In this paper a framework for a Clinical Reasoning Knowledge Warehouse (CRKW) is presented, intended to support the reasoning process, by providing the decision participants with an analysis platform that captures and enhances information and knowledge. The CRKW mixes theories and models from Artificial...... Intelligence, Knowledge Management Systems and Business Intelligence to make context sensitive, patient case specific analysis and knowledge management. The knowledge base consists of patient health records, reasoning process information and clinical guidelines. Patient specific information and knowledge...

  18. The Milling Assistant, Case-Based Reasoning, and machining strategy: A report on the development of automated numerical control programming systems at New Mexico State University

    Energy Technology Data Exchange (ETDEWEB)

    Burd, W. [Sandia National Labs., Albuquerque, NM (United States); Culler, D.; Eskridge, T.; Cox, L.; Slater, T. [New Mexico State Univ., Las Cruces, NM (United States)

    1993-08-01

    The Milling Assistant (MA) programming system demonstrates the automated development of tool paths for Numerical Control (NC) machine tools. By integrating a Case-Based Reasoning decision processor with a commercial CAD/CAM software, intelligent tool path files for milled and point-to-point features can be created. The operational system is capable of reducing the time required to program a variety of parts and improving product quality by collecting and utilizing ``best of practice`` machining strategies.

  19. Design of a Golf Swing Injury Detection and Evaluation open service platform with Ontology-oriented clustering case-based reasoning mechanism.

    Science.gov (United States)

    Ku, Hao-Hsiang

    2015-01-01

    Nowadays, people can easily use a smartphone to get wanted information and requested services. Hence, this study designs and proposes a Golf Swing Injury Detection and Evaluation open service platform with Ontology-oritened clustering case-based reasoning mechanism, which is called GoSIDE, based on Arduino and Open Service Gateway initative (OSGi). GoSIDE is a three-tier architecture, which is composed of Mobile Users, Application Servers and a Cloud-based Digital Convergence Server. A mobile user is with a smartphone and Kinect sensors to detect the user's Golf swing actions and to interact with iDTV. An application server is with Intelligent Golf Swing Posture Analysis Model (iGoSPAM) to check a user's Golf swing actions and to alter this user when he is with error actions. Cloud-based Digital Convergence Server is with Ontology-oriented Clustering Case-based Reasoning (CBR) for Quality of Experiences (OCC4QoE), which is designed to provide QoE services by QoE-based Ontology strategies, rules and events for this user. Furthermore, GoSIDE will automatically trigger OCC4QoE and deliver popular rules for a new user. Experiment results illustrate that GoSIDE can provide appropriate detections for Golfers. Finally, GoSIDE can be a reference model for researchers and engineers.

  20. Visual Media Reasoning - Terrain-based Geolocation

    Science.gov (United States)

    2015-06-01

    VISUAL MEDIA REASONING – TERRAIN-BASED GEOLOCATION UNIVERSITY OF MISSOURI JUNE 2015 FINAL TECHNICAL REPORT APPROVED FOR PUBLIC RELEASE... REASONING – TERRAIN-BASED GEOLOCATION 5a. CONTRACT NUMBER FA8750-12-C-0118 5b. GRANT NUMBER N/A 5c. PROGRAM ELEMENT NUMBER 62305E 6. AUTHOR(S...other uses of interest to the greater Defense Advanced Research Projects Agency (DARPA) Visual Media Reasoning (VMR) project. The VMR project has a

  1. Designing and Implementation of Fuzzy Case-based Reasoning System on Android Platform Using Electronic Discharge Summary of Patients with Chronic Kidney Diseases

    Science.gov (United States)

    Tahmasebian, Shahram; Langarizadeh, Mostafa; Ghazisaeidi, Marjan; Mahdavi-Mazdeh, Mitra

    2016-01-01

    Introduction: Case-based reasoning (CBR) systems are one of the effective methods to find the nearest solution to the current problems. These systems are used in various spheres as well as industry, business, and economy. The medical field is not an exception in this regard, and these systems are nowadays used in the various aspects of diagnosis and treatment. Methodology: In this study, the effective parameters were first extracted from the structured discharge summary prepared for patients with chronic kidney diseases based on data mining method. Then, through holding a meeting with experts in nephrology and using data mining methods, the weights of the parameters were extracted. Finally, fuzzy system has been employed in order to compare the similarities of current case and previous cases, and the system was implemented on the Android platform. Discussion: The data on electronic discharge records of patients with chronic kidney diseases were entered into the system. The measure of similarity was assessed using the algorithm provided in the system, and then compared with other known methods in CBR systems. Conclusion: Developing Clinical fuzzy CBR system used in Knowledge management framework for registering specific therapeutic methods, Knowledge sharing environment for experts in a specific domain and Powerful tools at the point of care. PMID:27708490

  2. 基于实例推理的组合夹具自动拼装技术%Case-based reasoning auto-assembly technology of modular fixture

    Institute of Scientific and Technical Information of China (English)

    欧彦江; 殷国富; 周长春

    2011-01-01

    Based on the analysis of modular fixture's features,Case Based Reasoning(CBR) was introduced into computer aided system of modular fixture.The research such as the case description model of modular fixture,the construction method of case and the automatic assembly design procedure of modular fixture based on case reasoning were studied.In addition,a new method of typical path case storage was built to achieve the rapid storage for new case of modular fixture.According to the feature parameter and weight of modular fixture's assembly,a case searching method was proposed to achieve the quick searching of modular fixture case.On these basis,a computer aided assembly system of modular fixture was developed,and the effectiveness of the system was demonstrated in practical operation.%在分析组合夹具拼装特征的基础上,将基于实例推理原理引入组合夹具计算机辅助拼装中,进行了基于实例推理原理的组合夹具实例描述模型、拼装实例库建立方法、组合夹具自动拼装设计流程等问题的研究。建立了一种新的典型路径存储实例的方法,以实现对组合夹具新实例的快速存储。提出了按照组合夹具拼装的特征参数和权重进行相似实例检索的方法,该方法可以较好地实现对组合夹具实例的快速检索。在此基础上,开发出了组合夹具计算机辅助拼装系统,并应用实例验证了该系统的有效性。

  3. Agent Based Reasoning in Multilevel Flow Modeling

    DEFF Research Database (Denmark)

    Lind, Morten; Zhang, Xinxin

    2012-01-01

    to launch the MFM Workbench into an agent based environment, which can complement disadvantages of the original software. The agent-based MFM Workbench is centered on a concept called “Blackboard System” and use an event based mechanism to arrange the reasoning tasks. This design will support the new...

  4. Using Case Based Reasoning For Financial Reporting Fraud Detection%基于案例推理的财务报告舞弊识别研究

    Institute of Scientific and Technical Information of China (English)

    李清; 任朝阳

    2015-01-01

    The financial reporting fraud committed by a public company has brought heavy im-pact on the construction of capital market and the protection of investors'interest.Using a sample of 2003 ~ 2012 domestic A-share listed companies,extracting factors about financial reporting fraud detection with the guidance of"The Fraud Diamond"theory and existing literature,this pa-per constructed the case based reasoning model for financial reporting fraud detection.This paper finds that fraudulent firms are more likely to be faced with greater earnings and debt pressure, weaker growth ability than non-fraudulent firms.This paper also finds that fraudulent firms have higher frequency of auditor changes and are more likely to get unqualified audit appraisals.The optimal case based reasoning model based on the Imitation Lance distance gets the hit ratio of 66. 7% on the test set.%上市公司财务报告舞弊对资本市场建设和投资者利益保护掣肘已久。以2003~2012年我国沪深 A 股财务报告舞弊公司及其配对公司为样本,依据“舞弊钻石”理论和现有文献提取舞弊识别指标,基于案例推理思想构建财务报告舞弊识别模型。研究发现,较之于非舞弊公司,舞弊公司通常面临更大的盈利压力和偿债压力,成长能力更弱,事务所变更现象更为普遍,被出具非标准审计意见的概率更高。基于仿兰氏距离的案例推理模型对测试集样本的识别总正确率为66.7%。

  5. Comparison of the Evaluations of a Case-Based Reasoning Decision Support Tool by Expert Reviewers with those of End Users

    Directory of Open Access Journals (Sweden)

    Walsh, Paul

    2008-05-01

    Full Text Available BACKGROUND: Decision-support tools (DST are typically developed by computer engineers for use by clinicians. Prototype testing DSTs may be performed relatively easily by one or two clinical experts. The costly alternative is to test each prototype on a larger number of diverse clinicians, based on the untested assumption that these evaluations would more accurately reflect those of actual end users.HYPOTHESIS: We hypothesized substantial or better agreement (as defined by a kappa statistic greater than 0.6 between the evaluations of a case based reasoning (CBR DST predicting ED admission for bronchiolitis performed by the clinically diverse end users, to those of two clinical experts who evaluated the same DST output.METHODS: Three outputs from a previously described DST were evaluated by the emergency physicians (EP who originally saw the patients and by two pediatric EPs with an interest in bronchiolitis. The DST outputs were as follows: predicted disposition, an example of another previously seen patient to explain the prediction, and explanatory dialog. Each was rated using the scale Definitely Not, No, Maybe, Yes, and Absolutely. This was converted to a Likert scale for analysis. Agreement was measured using the kappa statistic.RESULTS: Agreement with the DST predicted disposition was moderate between end users and the expert reviewers, but was only fair or poor for value of the explanatory case and dialog.CONCLUSION: Agreement between expert evaluators and end users on the value of a CBR DST predicted dispositions was moderate. For the more subjective explicative components, agreement was fair, poor, or worse.

  6. 基于实例推理的个性化产品评价方法%Evaluation Method of Individualized Products Based on Case Reasoning

    Institute of Scientific and Technical Information of China (English)

    包志炎; 肖刚; 高飞; 阮曙峰

    2011-01-01

    The problems of the individualized product evaluation were formalized, and a product evaluation model with algorithms based on case reasoning was proposed. The case library was divided into groups through fuzzy clustering analysis, and different groups had different dynamic weights by mathematical calculation under the constraints of experience rules. The program flow chart of the algorithm of evaluation parameter weights optimization was presented. Euclidean distance with weights was adopted to search a similar instance. The final result of product evaluation was adjusted based on the similar instance. The proposed methodology demonstrated the effectiveness in an instance of the evaluation of crane products.%通过建立个性化产品评价问题的形式化描述,给出了基于实例推理的评价模型与算法,运用模糊数学实现了实例库的自主聚类分组,提出了经验赋权规则约束下的数学赋权法为每一个组别建立动态权重,采用了加权的欧几里德距离解决相似实例的检索问题,在相似实例的基础上进行修正得到最终评价结果.最后以桥式起重机产品的评价为例,给出了详细的实现步骤,证明了该方法的有效性.

  7. A base logic for default reasoning

    Institute of Scientific and Technical Information of China (English)

    Zhou Beihai; Mao Yi

    2006-01-01

    Based on a close study of benchmark examples in default reasoning,such as Nixon Diamond,Penguin Principle,etc.,this paper provides an in depth analysis of the basic features of default reasoning.We formalize default inferences based on Modus Ponens for Default Implication,and mark the distinction between"local inferences"(to infer a conclusion from a subset of given premises)and"global inferences"(to infer a conclusion from the entire set of given premises).These conceptual analyses are captured by a formal semantics that is built upon the set-selection function technique.A minimal logic system M of default reasoning that accommodates Modus Ponens for Default Implication and suitable for local inferences is proposed,and its soundness is proved.

  8. Research on a Dispersed Knowledge Bases Based Multi-reasoning Press Process Decision System

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Based on the Internet technology and artificial int el ligence (AI) technology, this paper presents a dispersed press process knowledge bases based multi-reasoning press process decision system (DKB-MRPPD). The di spersed press process knowledge bases have been organized into case bases and ru le bases, which may be located at different enterprises, and employed to plan pr ess process by a multi-reasoning engine made up of the ART1, case reasoning and rule-based reasoning net. The architecture model of DK...

  9. The mathematical bases for qualitative reasoning

    Science.gov (United States)

    Kalagnanam, Jayant; Simon, Herbert A.; Iwasaki, Yumi

    1991-01-01

    The practices of researchers in many fields who use qualitative reasoning are summarized and explained. The goal is to gain an understanding of the formal assumptions and mechanisms that underlie this kind of analysis. The explanations given are based on standard mathematical formalisms, particularly on ordinal properties, continuous differentiable functions, and the mathematics of nonlinear dynamic systems.

  10. The Application of Case-based Reasoning Technology in Knowledge Management%基于事例推理技术在知识管理中的应用

    Institute of Scientific and Technical Information of China (English)

    冯秋红

    2001-01-01

    Based on an analysis of the connotation of knowledge system and knowledge management,this paper clarifies that historical experience is an important content of the study of the organization.It also describes the concept and characteristics of Case-Based Reasoning Technology,and the process framework of empirical knowledge management of an enterprise.

  11. Children's gender-based reasoning about toys.

    Science.gov (United States)

    Martin, C L; Eisenbud, L; Rose, H

    1995-10-01

    The goal of these studies was to investigate how preschool children use gender-based reasoning in making judgments about toy preferences for themselves and for others. In Studies 1 and 2, children (n = 22, n = 71) were shown unfamiliar, non-sex-typed toys and asked to rate how much they, other girls, and other boys would like each toy. As expected, children made gender-based inferences: "What I like, children of my sex will also like, and children of the other sex will not like." Study 3 was designed to assess how children use gender-based reasoning to make decisions about attractive and unattractive toys when they are given gender labels. Children (n = 91) were shown unfamiliar toys varying in attractiveness that were given explicit gender labels (e.g., "this is a toy girls really like") or no label. With a different experimenter (to avoid demand characteristics), children rated their own and others' liking of the toys. Children used gender labels to guide their own preferences and their expectations for others. Even with very attractive toys, children liked toys less if they were labeled as being for the other sex, and expected other girls and boys to do the same. The role of gender-based reasoning in cognitive theories of gender and on children's play preferences is discussed.

  12. Intelligent Tutoring Systems Based on the Multi-Agent Systems (ITS-MAS: The Dynamic and Incremental Case Based Reasoning (DICBR Paradigm and the Inverse Longest Common Sub-Sequence (ILCSS in the CEHL

    Directory of Open Access Journals (Sweden)

    El Mokhtar En-Naimi

    2012-11-01

    Full Text Available The major problem of e-learning is often stopped during training. Due to the fact that it is necessary to ensure an individualized and continuous learners follow-up during the learning process. Our work in this field develops the design and implementation of a Multi-Agents System Based on Dynamic Case Based Reasoning which can initiate learning and provide an individualized follow-up of a learner. When interacting with the platform, every learner leaves his/her traces in the machine. These traces are stored in the memory bank, this operation enriches collective past experiences. Via monitoring, comparing and analyzing these traces, the system keeps a constant intelligent watch on the platform, and therefore it detects the difficulties hindering progress, and/or it avoids possible dropping out. The system can support any learning subject. The success of a case-based reasoning system depends critically on the performance of the retrieval step used and, more particularly, on similarity measure used to retrieve source cases that are similar to the learners' traces (traces in progress. We propose a dynamic retrieving method based on a complementary similarity measure, named Inverse Longest Common Sub-Sequence (ILCSS. To guide and help the learner, the system is equipped with combination of human and virtual tutors.

  13. Analyzing Error Medication Adverse Case Based on Reason Model%基于Reason模型给药错误不良个案分析

    Institute of Scientific and Technical Information of China (English)

    阚庭; 李娟; 师文文; 储静

    2015-01-01

    Nursing students are lack of experiences when they start clinical practice, which leads to the frequent occurrence of nursing adverse events related to nursing students.Reason had put forward Organizational Accident Model, which pointed out that the system or organizational failures underlying the errors account the most for an adverse event,though it is partly caused by personal negligence or unskillfulness.The article analyzed a case of error medication administration relevant to a nursing student by using Reason model, in order to find out the un-derlying environmental and organizational defects and propose some measures avoiding similar events.%由于护生在临床实习阶段缺乏经验,与护生相关的护理不良事件频频发生。 Reason提出的组织事故模型指出,在不良事件中,虽有一部分来自个人的疏忽或技术的不良,但是更大部分来自系统、程序、工作环境中的潜藏失误。本文运用Reason模型,对一例护生临床实习期间经历的护理给药错误不良事件进行分析,寻找出事件背后潜在的环境与组织漏洞,并提出相关对策,以避免类似事件再次发生。

  14. MANAGEMENT OF A GUILLAIN BARRE SYNDROME PATIENT THROUGH THREE TRACK REASONING: A CASE STUDY

    Directory of Open Access Journals (Sweden)

    Shamima Islam Nipa

    2015-12-01

    Full Text Available Background: Clinical reasoning is a thinking and decision making process which occur in clinical practice. It helps the health care providers to solve the clinical problem by using their reasoning process in an effective and efficient manner. Three track reasoning in one of the clinical reasoning process which includes the procedural, interactive and conditional reasoning to diagnose as well as ensure proper rehabilitation service according to patient and patient’s family members’ needs. Methods: A single case based study through the three track reasoning process. The purpose of this study was to explore the management strategies of a Gullian Barrie Syndrome (GBS patient through three track reasoning. We have tried to show how the basic idea behind the reasoning process helped to determine the reasoning process and diagnosis. However it has performed through theory and observation. We have also showed how we used the reasoning process through with the common sense reasoning. However it was the part of procedural reasoning in three track clinical reasoning. In three track reasoning, there is also interactive and procedural reasoning part through which we told patient story about his condition, identified his and his family members expectations and to establish hypothesis as GBS. So three track reasoning also supported us to do reasoning process rather than selecting another reasoning process. Results: After analyzing the reasoning process it was identified that to be strict in a single reasoning process is very difficult. Clinical reasoning is the clinician’s ability through which they can consider the interpretation of different clinical findings. An expert clinician must have critical thinking skill rather than ignoring any symptoms or overemphasize the symptoms. In addition, patient’s knowledge, believes and reasoning was found an important part of clinical reasoning process in this study. Conclusion: We have been practicing clinical

  15. Application of SoLIM Based on Case Reasoning in Soil Nutrient Mapping%基于案例推理的SoLIM方法在土壤养分制图中的应用

    Institute of Scientific and Technical Information of China (English)

    徐丽华; 谢德体; 魏朝富; 李兵

    2013-01-01

    The 111 soil samples were collected in Wangjiagou watershed of Three Gorges Reservoir Area with complex geographical environment.Total nitrogen content in the soil was measured,and the land use data and elevation,slope,plan curvature,profile curvature,topographic position index and topographic wetness index were collected.The soil total nitrogen was mapped by using the soil land inference model (SoLIM) that is based on case reasoning.The results showed that,land use type data can be used to improve the accuracy of prediction.The spatial distribution of soil nutrients produced by the SoLIM contained more information,and presented more details of spatial variability of soil nutrients.Therefore,the SoLIM based on case reasoning was validated a good method for soil nutrient mapping in the small study area with complex geographical environment.

  16. Push and pull models to manage patient consent and licensing of multimedia resources in digital repositories for case-based reasoning.

    Science.gov (United States)

    Kononowicz, Andrzej A; Zary, Nabil; Davies, David; Heid, Jörn; Woodham, Luke; Hege, Inga

    2011-01-01

    Patient consents for distribution of multimedia constitute a significant element of medical case-based repositories in medicine. A technical challenge is posed by the right of patients to withdraw permission to disseminate their images or videos. A technical mechanism for spreading information about changes in multimedia usage licenses is sought. The authors gained their experience by developing and managing a large (>340 cases) repository of virtual patients within the European project eViP. The solution for dissemination of license status should reuse and extend existing metadata standards in medical education. Two methods: PUSH and PULL are described differing in the moment of update and the division of responsibilities between parties in the learning object exchange process. The authors recommend usage of the PUSH scenario because it is better adapted to legal requirements in many countries. It needs to be stressed that the solution is based on mutual trust of the exchange partners and therefore is most appropriate for use in educational alliances and consortia. It is hoped that the proposed models for exchanging consents and licensing information will become a crucial part of the technical frameworks for building case-based repositories.

  17. Language-Based Reasoning in Primary Science

    Science.gov (United States)

    Hackling, Mark; Sherriff, Barbara

    2015-01-01

    Language is critical in the mediation of scientific reasoning, higher-order thinking and the development of scientific literacy. This study investigated how an exemplary primary science teacher scaffolds and supports students' reasoning during a Year 4 materials unit. Lessons captured on video, teacher and student interviews and micro-ethnographic…

  18. Research on Case Based Reasoning System of Stock Theme Events Based on Ontology%基于本体的股票主题事件案例推理系统研究

    Institute of Scientific and Technical Information of China (English)

    何岩新; 倪丽萍; 曹琳; 马驰宇

    2016-01-01

    股票市场中一些事件容易影响股票的价格及收益。为辅助投资者积累经验性知识及快速做出决策,文中在收集主题事件的基本信息及市场波动数据的基础上,结合本体理论和案例推理方法,通过对事件案例的本体结构定义以及对金融事件类型本体的构建,开发了股票市场主题事件案例的推理系统原型。该系统用 OWL-DL 语言描述本体,采用Protégé4.2构建本体库;通过分析主题事件的特征属性,用相似性度量方法检索相似案例,进而对目标事件做出详细分析。通过特定事件对股票市场的走势分析,验证了用相似案例进行市场短期预测具有可行性,同时引入本体后在推理系统的查全率上有了明显的提高,从而说明该方法是合理的、有效的。%In stock markets there are some events that their occurrences will significantly affect stocks’ prices and profits. In order to help investors accumulate experimental wealth and quickly make decisions,in this paper a case-based reasoning system for subject events in stock markets was constructed with the combination of ontology theory and case-based reasoning method,then with information about subject events and data about market fluctuations,the ontology structures were defined for event cases and type ontologies were set for fi-nancial events. In this system,OWL-DL was used to describe ontology,and Protégé4. 2 was applied to build the ontology base. By stud-ying the feature properties and using similar measuring method to retrieve similar cases,a target event was finally analyzed in detail. In the end a trending analysis for a certain event to the stock markets was given,the results showed that using similar cases to predict short-term market effect was feasible,and meantime the recall ratio was obviously improved after introducing ontology into the reasoning system, which means that the proposed method is reasonable and

  19. 实例推理的敏捷虚拟企业模型重用方法研究%Model reuse method's research of the agile virtual enterprise based on case based reasoning

    Institute of Scientific and Technical Information of China (English)

    夏冬梅; 孙林

    2010-01-01

    在基于模型重用的敏捷虚拟企业(Agile Virtual Enterprise,AVE)建模过程研究中,提出基于模型重用的AVE建模过程框架,并在该框架下对两个特殊的AVE建模过程实例即G-EM和V-EM进行研究.同时,为了支持AVE建模过程中的模型重用,提出面向AVE建模的基于实例推理(Case Based Reasoning,CBR)的模型重用方法,使AVE建模过程的效率更高,AVE模型的语义一致性更强.

  20. What physicians reason about during admission case review.

    Science.gov (United States)

    Juma, Salina; Goldszmidt, Mark

    2016-07-28

    Research suggests that physicians perform multiple reasoning tasks beyond diagnosis during patient review. However, these remain largely theoretical. The purpose of this study was to explore reasoning tasks in clinical practice during patient admission review. The authors used a constant comparative approach-an iterative and inductive process of coding and recoding-to analyze transcripts from 38 audio-recorded case reviews between junior trainees and their senior residents or attendings. Using a previous list of reasoning tasks, analysis focused on what tasks were performed, when they occurred, and how they related to the other tasks. All 24 tasks were observed in at least one review with a mean of 17.9 (Min = 15, Max = 22) distinct tasks per review. Two new tasks-assess illness severity and patient decision-making capacity-were identified, thus 26 tasks were examined. Three overarching tasks were identified-assess priorities, determine and refine the most likely diagnosis and establish and refine management plans-that occurred throughout all stages of the case review starting from patient identification and continuing through to assessment and plan. A fourth possible overarching task-reflection-was also identified but only observed in four instances across three cases. The other 22 tasks appeared to be context dependent serving to support, expand, and refine one or more overarching tasks. Tasks were non-sequential and the same supporting task could serve more than one overarching task. The authors conclude that these findings provide insight into the 'what' and 'when' of physician reasoning during case review that can be used to support professional development, clinical training and patient care. In particular, they draw attention to the iterative way in which each task is addressed during a case review and how this finding may challenge conventional ways of teaching and assessing clinical communication and reasoning. They also suggest that further research

  1. Development of abstract mathematical reasoning: The case of algebra

    Directory of Open Access Journals (Sweden)

    Ana eSusac

    2014-09-01

    Full Text Available Algebra typically represents the students’ first encounter with abstract mathematical reasoning and it therefore causes significant difficulties for students who still reason concretely. The aim of the present study was to investigate the developmental trajectory of the students’ ability to solve simple algebraic equations. 311 participants between the ages of 12 and 17 were given a computerized test of equation rearrangement. Equations consisted of an unknown and two other elements (numbers or letters, and the operations of multiplication/division. The obtained results showed that younger participants are less accurate and slower in solving equations with letters (symbols than those with numbers. This difference disappeared for older participants (16-17 years, suggesting that they had reached an abstract reasoning level, at least for this simple task. A corresponding conclusion arises from the analysis of their strategies which suggests that younger participants mostly used concrete strategies such as inserting numbers, while older participants typically used more abstract, rule-based strategies. These results indicate that the development of algebraic thinking is a process which unfolds over a long period of time. In agreement with previous research, we can conclude that, on average, children at the age of 15-16 transition from using concrete to abstract strategies while solving the algebra problems addressed within the present study. A better understanding of the timing and speed of students’ transition from concrete arithmetic reasoning to abstract algebraic reasoning might help in designing better curricula and teaching materials that would ease that transition.

  2. Development of abstract mathematical reasoning: the case of algebra.

    Science.gov (United States)

    Susac, Ana; Bubic, Andreja; Vrbanc, Andrija; Planinic, Maja

    2014-01-01

    Algebra typically represents the students' first encounter with abstract mathematical reasoning and it therefore causes significant difficulties for students who still reason concretely. The aim of the present study was to investigate the developmental trajectory of the students' ability to solve simple algebraic equations. 311 participants between the ages of 13 and 17 were given a computerized test of equation rearrangement. Equations consisted of an unknown and two other elements (numbers or letters), and the operations of multiplication/division. The obtained results showed that younger participants are less accurate and slower in solving equations with letters (symbols) than those with numbers. This difference disappeared for older participants (16-17 years), suggesting that they had reached an abstract reasoning level, at least for this simple task. A corresponding conclusion arises from the analysis of their strategies which suggests that younger participants mostly used concrete strategies such as inserting numbers, while older participants typically used more abstract, rule-based strategies. These results indicate that the development of algebraic thinking is a process which unfolds over a long period of time. In agreement with previous research, we can conclude that, on average, children at the age of 15-16 transition from using concrete to abstract strategies while solving the algebra problems addressed within the present study. A better understanding of the timing and speed of students' transition from concrete arithmetic reasoning to abstract algebraic reasoning might help in designing better curricula and teaching materials that would ease that transition.

  3. 基于案例推理的农村新能源利用决策系统%Rural new energy utilization decision-making system based on case based reasoning

    Institute of Scientific and Technical Information of China (English)

    于重重; 孙秋峰; 谭励; 涂序彦

    2011-01-01

    Based on analyzing and summarizing the relevant theory and technology of new energy in rural areas, the new rural energy utilization decision-making system is implemented with B/S structure, using Microsoft' s. NET as the software development platform,C# as the programming language. Through analyzing the survey data of the typical energy use in rural areas, the typical rural new energy utilization foundation database is built, and case base is further to be formed by extracting the data from the foundation database. According to the system functional requirements, the rural new energy decision-making functions are achieved by using case-based reasoning technology, while using Google Earth and Google Maps to complete geographic information display. Finally, the main functions of several functional modules are described by an instance.%在分析,总结相关农村新能源理论与技术研究的基础上,使用Microsoft的.NET作为软件开发平台,C#为编程语言,开发实现了基于B/S结构的农村新能源利用决策系统.通过对典型农村用能调查数据分析,建立了典型农村用能基础数据库,进一步从基础数据库中抽取数据,形成案例库.依据系统功能需求,利用案例推理技术实现了农村新能源利用决策功能.同时利用Google Each和Google Maps完成地理信息的显示.最后通过一个实例,对系统几个功能模块的主要功能进行了说明.

  4. Narrative based Postdictive Reasoning for Cognitive Robotics

    OpenAIRE

    Eppe, Manfred; Bhatt, Mehul

    2013-01-01

    Making sense of incomplete and conflicting narrative knowledge in the presence of abnormalities, unobservable processes, and other real world considerations is a challenge and crucial requirement for cognitive robotics systems. An added challenge, even when suitably specialised action languages and reasoning systems exist, is practical integration and application within large-scale robot control frameworks. In the backdrop of an autonomous wheelchair robot control task, we report on applicati...

  5. Investigating Students' Reasoning about Acid-Base Reactions

    Science.gov (United States)

    Cooper, Melanie M.; Kouyoumdjian, Hovig; Underwood, Sonia M.

    2016-01-01

    Acid-base chemistry is central to a wide range of reactions. If students are able to understand how and why acid-base reactions occur, it should provide a basis for reasoning about a host of other reactions. Here, we report the development of a method to characterize student reasoning about acid-base reactions based on their description of…

  6. A Semantic Retrieval Method Based on the Fuzzy Reasoning

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    This paper gives a semantic fuzzy retrieval method of multimedia object,discusses the principle of fuzzy semantic retrieval technique,presents a fuzzy reasoning mechanism based on the knowledge base,and designs the relevant reasoning algorithms.Researchful results have innovative significance.

  7. A case of seizures induced by abstract reasoning.

    Science.gov (United States)

    Tatsuzawa, Yasutaka; Yoshino, Aihide; Nomura, Soichiro

    2010-04-01

    We describe a case of reflex seizures induced by abstract reasoning but not other cognitive processes. The patient, a 46-year-old man, experienced myoclonic seizures whenever he played shogi (Japanese chess). To identify the critical thought processes responsible for inducing his seizures, we monitored his clinical seizures and epileptiform discharges while he performed comprehensive neuropsychological tests, including the Wechsler Adult Intelligence Scale-Revised (WAIS-R), spatial working memory, mental rotation, and Wisconsin Card Sorting Test (WCST) tasks. A myoclonic seizure occurred only during the WCST. Generalized 3- to 5-Hz spike-and-slow-wave bursts occurred repeatedly during the Block Design subtest of the WAIS-R and the WCST, whereas no discharges occurred during other subtests of the WAIS-R including the calculation, spatial working memory, and mental rotation tasks. These results indicate that abstract reasoning, independent of other cognitive processes, could induce the patient's epileptiform discharges, suggesting that his reflex seizures might be a distinct subtype of nonverbal thinking-induced seizures.

  8. Structural logical relations with case analysis and equality reasoning

    DEFF Research Database (Denmark)

    Rasmussen, Ulrik Terp; Filinski, Andrzej

    2013-01-01

    requires the assertion logic to be extended with reasoning principles not present in the original presentation of the formalization method. We address this by generalizing the assertion logic to include dependent sorts, and demonstrate that the original cut elimination proof continues to apply without......Formalizing proofs by logical relations in the Twelf proof assistant is known to be notoriously difficult. However, as demonstrated by Schürmann and Sarnat [In Proc. of 23rd Symp. on Logic in Computer Science, 2008] such proofs can be represented and verified in Twelf if done so using a Gentzen......-style auxiliary assertion logic which is subsequently proved consistent via cut elimination. We demonstrate in this paper an application of the above methodology to proofs of observational equivalence between expressions in a simply typed lambda calculus with a call-by-name operational semantics. Our use case...

  9. Propuesta de utilización del razonamiento basado en casos para la recuperación de procedimientos de prueba funcionales Using case-based reasoning for generating functional test procedures

    Directory of Open Access Journals (Sweden)

    Chávez Valiente Indira

    2010-12-01

    Full Text Available En este trabajo se presenta una propuesta de estructura de almacenamiento y los mecanismos de recuperación utilizados para aplicar el razonamiento basado en casos (RBC en la generación de procedimientos de prueba funcionales en proyectos de software. Esta propuesta parte de los requisitos funcionales del proyecto de software y en ella se enuncian los algoritmos propuestos para considerar la semejanza entre cada par de proyectos, así como los que permiten adaptar la solución encontrada en la base de casos a las características de los nuevos proyectos.This paper presents a proposal for storage structure and retrieval mechanisms used for implementing case-based reasoning (CBR in generating functional test procedures in software projects. This proposal was based on software project t functional requirements and sets out the proposed algorithms for considering the similarity between each pair of projects as well as those leading to adapting the solution found in the case base.

  10. IMPROVED AERODYNAMIC APPROXIMATION MODEL WITH CASE-BASED REASONING TECHNIQUE FOR MDO OF AIRCRAFT%多学科优化中基于实例推理的气动近似模型

    Institute of Scientific and Technical Information of China (English)

    白振东; 刘虎; 柴雪; 武哲

    2008-01-01

    为提高飞机多学科优化效率,对气动近似计算模型进行了改进.在比值修正模型所构造的气动近似模型的基础上,引入了基于实例的推理技术对其加以改进.通过采用与飞机气动特性相关的参数作为实例属性,建立了飞机方案实例,并改进了实例检索公式,最后通过复用与当前方案最相似实例的修正因子改进了优化中的气动近似模型.以常规布局民用飞机概念设计为例,采用改进的气动近似模型进行了多学科优化研究.结果表明,对于具有大量设计变量的飞机方案优化问题,采用改进的气动近似模型能够有效提高计算精度与优化效率.%To increase the efficiency of the muhidisciplinary optimization of aircraft,an aerodynamic approximation model is improved.Based on the study of aerodynamic approximation model constructed by the scaling correction model,case-based reasoning technique is introduced to improve the approximation model for optimization.The aircraft case model is constructed by utilizing the plane parameters related to aerodynamic characteristics as attributes of cases,and the formula of case retrieving is improved.Finally,the aerodynamic approximation model for optimization is improved by reusing the correction factors of the most similar aircraft to the current one.The muhidisciplinary optimization of a civil aircraft concept is carried out with the improved aerodynamic approximation model.The results demonstrate that the precision and the efficiency of the optimization can be improved by utilizing the improved aerodynamic approximation model with case-based reasoning technique.

  11. COMPUTER-BASED REASONING SYSTEMS: AN OVERVIEW

    Directory of Open Access Journals (Sweden)

    CIPRIAN CUCU

    2012-12-01

    Full Text Available Argumentation is nowadays seen both as skill that people use in various aspects of their lives, as well as an educational technique that can support the transfer or creation of knowledge thus aiding in the development of other skills (e.g. Communication, critical thinking or attitudes. However, teaching argumentation and teaching with argumentation is still a rare practice, mostly due to the lack of available resources such as time or expert human tutors that are specialized in argumentation. Intelligent Computer Systems (i.e. Systems that implement an inner representation of particular knowledge and try to emulate the behavior of humans could allow more people to understand the purpose, techniques and benefits of argumentation. The proposed paper investigates the state of the art concepts of computer-based argumentation used in education and tries to develop a conceptual map, showing benefits, limitation and relations between various concepts focusing on the duality “learning to argue – arguing to learn”.

  12. 基于模块化产品实例的变型设计推理系统的研究%Research on variant design reasoning system based on product case

    Institute of Scientific and Technical Information of China (English)

    何永玲; 李尚平; 农宏亮; 罗延

    2011-01-01

    Be aimed at the issue how to make full use of the existing product resources to respond rapidly the users'requirements,one rapid intelligent design approach is presented.This approach combines case based reasoning with modular technology and focuses on the following researches:the modeling approach of product model, the relation-driven among model parammeters ,the case variant modification technology of similar product case.Also,this approach is to develop the case intelligent design system based on the modular product case,and then to achieve the rapid design and analysis of product.Further,the proposed approach is going to be tested by integrating with the farm dump truck produced by one certain machinery Co. ,Ltd.%针对如何充分利用现有产品资源对用户需求作快速响应的问题,提出了一种集实例推理及模块化技术于一体的快速设计方法,重点研究产品模型的建模方法、模型参数之间的关联驱动及相似产品实例变型修改技术,开发基于模块化产品实例智能推理设计系统,实现了产品的快速设计与分析.结合某机械有限公司生产的农用自卸车,对提出的方法进行了验证.

  13. Cognitive Trait Modelling: The Case of Inductive Reasoning Ability

    Science.gov (United States)

    Kinshuk, Taiyu Lin; McNab, Paul

    2006-01-01

    Researchers have regarded inductive reasoning as one of the seven primary mental abilities that account for human intelligent behaviours. Researchers have also shown that inductive reasoning ability is one of the best predictors for academic performance. Modelling of inductive reasoning is therefore an important issue for providing adaptivity in…

  14. Dynamic Prediction Method for Web Service QoS Based on Case-based Reasoning%基于事例推理的Web服务QoS动态预测研究

    Institute of Scientific and Technical Information of China (English)

    刘志中; 王志坚; 周晓峰; 娄渊胜; 尚领

    2011-01-01

    随着面向服务计算技术的发展,网络上出现了大量功能相同而服务质量(QoS)有很大差别的Web服务,QoS逐渐成为评价和选择Web服务的重要依据.目前常用Web服务历史QoS的算术平均值来近似服务的QoS,这种度量方法没有考虑Web服务QoS的动态性,不能准确地度量Web服务的QoS,从而造成被选择的Web服务以较大概率不能满足用户的QoS需求.针对这一问题,提出了一种基于事例推理(CBR)的QoS动态预测方法,该方法将Web服务的QoS与服务的外界环境、所处理的任务类型、任务大小关联起来,利用事例推理技术预测Web服务处理新任务时的QoS.实验结果表明,该预测方法能有效地提高Web服务QoS的准确度.%With the rapid growth of functionally similar Web services over the Web,Quality of Services(QoS) is becoming a decisive factor for Web service selection.However, current QoS measurement method generally takes the mean value of Web service history QoS values as the service's QoS, and hasn't taken the dynamic nature of service performance into consideration, and cannot measure QoS of Web services accurately, as a result, many selected services cannot satisfy consumer's QoS constraints.In our framework, a dynamic QoS prediction method based on Case-Based Reasoning(CBR) was provided, this method associates Web service QoS with the environment of service, task type and task size together,when a new service request comes,CBR is applied to predict QoS of the Web service in completing the new request.Experimental results show that, this method can improve accuracies of QoS of Web service effectively.

  15. Overcoming limitations of model-based diagnostic reasoning systems

    Science.gov (United States)

    Holtzblatt, Lester J.; Marcotte, Richard A.; Piazza, Richard L.

    1989-01-01

    The development of a model-based diagnostic system to overcome the limitations of model-based reasoning systems is discussed. It is noted that model-based reasoning techniques can be used to analyze the failure behavior and diagnosability of system and circuit designs as part of the system process itself. One goal of current research is the development of a diagnostic algorithm which can reason efficiently about large numbers of diagnostic suspects and can handle both combinational and sequential circuits. A second goal is to address the model-creation problem by developing an approach for using design models to construct the GMODS model in an automated fashion.

  16. The Intelligent CAI System for Chemistry Based on Automated Reasoning

    Institute of Scientific and Technical Information of China (English)

    王晓京; 张景中

    1999-01-01

    A new type of intelligent CAI system for chemistry is developed in this paper based on automated reasoning with chemistry knowledge.The system has shown its ability to solve chemistry problems,to assist students and teachers in studies and instruction with the automated reasoning functions.Its open mode of the knowledge base and its unique style of the interface between the system and human provide more opportunities for the users to acquire living knowledge through active participation.The automated reasoning based on basic chemistry knowledge also opened a new approach to the information storage and management of the ICAI system for sciences.

  17. Improved Case-Based Reasoning Based Cellular Automaton for Simulating Land Cover Change%改进的案例推理CA模型及土地覆盖变化模拟

    Institute of Scientific and Technical Information of China (English)

    张琴; 张友静; 张滔

    2012-01-01

    This paper presents an improved Case-Based Reasoning based Cellular Automata model (CBR-CA) in modeling multiple land covers changes. Currently, various research communities have tried to build and apply mathematic models with CBR or CA as systemic method to study concerning specific geo-scientific problems. However.original CBR-CA model has problems in modeling numerous class changes,especially in modeling land cover changes with large region and long time. In this paper,an improved CBR-CA is designed to calculate conversion probabilities for computing multiple land cover. Firstly, the macro transition probability of each class is added to the objective function, which can express the characteristic of multiple class changes. Then, considering the time weight, which can reflect the space-time changes of land cover, the final probability function is derived by both. In addition, due to variation of land cover types and their spatial relationships in complex geography changes, Monte Carlo is made use of deciding the final transition classes. This model has been applied to simulate the land cover changes of the source of the Yellow River in 1995,2000 and 2006,and has been applied to predict this region in 2012 and 2018 by building the historical case-based database with the land cover data in 1977 and 1985. The simulated and actual patterns are basic consistent in amounts,accounting for 0.002% ,0.012% and 0.005% of the total error,respectively, the space accuracies totally beyond 70%. The result indicates that this model can simulate and predict the land cover changes which are with multiple classes and with long time.%对基于案例推理的元胞自动机模型(CBR-CA)进行改进,将各类别的宏观转移概率添加到目标函数中,体现各类别的转变特征,并增加时间权重来确定转移概率,实现时间尺度上的模拟;由于土地覆盖变化的多样性和空间结构的复杂性,利用Monte Carlo(M-C)法确定土地覆盖的最终转换

  18. A Model-based Avionic Prognostic Reasoner (MAPR)

    Data.gov (United States)

    National Aeronautics and Space Administration — The Model-based Avionic Prognostic Reasoner (MAPR) presented in this paper is an innovative solution for non-intrusively monitoring the state of health (SoH) and...

  19. A knowledge-based system for prototypical reasoning

    Science.gov (United States)

    Lieto, Antonio; Minieri, Andrea; Piana, Alberto; Radicioni, Daniele P.

    2015-04-01

    In this work we present a knowledge-based system equipped with a hybrid, cognitively inspired architecture for the representation of conceptual information. The proposed system aims at extending the classical representational and reasoning capabilities of the ontology-based frameworks towards the realm of the prototype theory. It is based on a hybrid knowledge base, composed of a classical symbolic component (grounded on a formal ontology) with a typicality based one (grounded on the conceptual spaces framework). The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science with the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorisation task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially extends the representational and reasoning 'conceptual' capabilities of standard ontology-based systems.

  20. A model of synthesis based on functional reasoning

    DEFF Research Database (Denmark)

    Hansen, Claus Thorp; Zavbi, R.

    2002-01-01

    In this paper we propose a model of how to carry out functional reasoning. The model is based on the domain theory, and it links the stepwise determination of the artefact´s characteristics during the design process to different ways of carrying out functional reasoning found in the literature....... The model proposes of a set of the mental objects and a number of ways to carry out functional reasoning available to the engineering designer. The result of the research presented in this paper is the building of a hypothesis "in the form of a model" with explanatory power....

  1. Moldability Evaluation for Molded Parts Based on Fuzzy Reasoning

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Moldability evaluation for molded parts, which is the basis of concurrent design, is a key design stage in injection molding design. By moldability evaluation the design problems can be found timely and an optimum plastic part design achieved. In this paper, a systematic methodology for moldability evaluation based on fuzzy logic is proposed. Firstly, fuzzy set modeling for six key design attributes of molded parts is carried out respectively. Secondly, on the basis of this, the relationship between fuzzy sets for design attributes and fuzzy sets for moldability is established by fuzzy rules that are based on domain experts' experience and knowledge. At last the integral moldability for molded parts is obtained through fuzzy reasoning. The neural network based fuzzy reasoning approach presented in this paper can improve fuzzy reasoning efficiency greatly, especially for system having a large number of rules and complicated membership functions. An example for moldability evaluation is given to show the feasibility of this proposed methodology.

  2. Model-Based Reasoning in Humans Becomes Automatic with Training.

    Directory of Open Access Journals (Sweden)

    Marcos Economides

    2015-09-01

    Full Text Available Model-based and model-free reinforcement learning (RL have been suggested as algorithmic realizations of goal-directed and habitual action strategies. Model-based RL is more flexible than model-free but requires sophisticated calculations using a learnt model of the world. This has led model-based RL to be identified with slow, deliberative processing, and model-free RL with fast, automatic processing. In support of this distinction, it has recently been shown that model-based reasoning is impaired by placing subjects under cognitive load--a hallmark of non-automaticity. Here, using the same task, we show that cognitive load does not impair model-based reasoning if subjects receive prior training on the task. This finding is replicated across two studies and a variety of analysis methods. Thus, task familiarity permits use of model-based reasoning in parallel with other cognitive demands. The ability to deploy model-based reasoning in an automatic, parallelizable fashion has widespread theoretical implications, particularly for the learning and execution of complex behaviors. It also suggests a range of important failure modes in psychiatric disorders.

  3. 颅底肿瘤术后再手术原因的分析(附14例报告)%Analysis the reasons of emergency reoperation after skull base surgery: report of 14 cases

    Institute of Scientific and Technical Information of China (English)

    郝淑煜; 薛湛; 李达; 肖新如; 汤劼; 王亮; 吴震; 张力伟; 张俊廷

    2015-01-01

    目的 探讨神经外科颅底肿瘤手术后急诊再次开颅手术病例的临床特征.方法 回顾性分析首都医科大学附属北京天坛医院神经外科2008年10月至2013年10月2 500例颅底手术病例中术后再次急诊开颅手术的14例患者,其中颅底脑膜瘤6例,神经鞘瘤3例,垂体腺瘤、颅咽管瘤、骨软骨瘤、血管平滑肌瘤、颈静脉球瘤各1例.第一次手术平均用时9.2h,术中平均出血2 750 ml.再手术的原因由术者和专家组分析得出,并由全科讨论确认.结果 再手术的14例患者中,9例表现为意识减弱,2例术后未能正常苏醒,2例术后常规CT检查发现异常,1例为突发性伤口出血.CT检查发现异常的平均时间为术后17 h,其中瘤腔内出血4例,脑内血肿伴脑挫裂伤4例,大面积脑梗死2例,脑内血肿合并硬膜下血肿l例,硬膜外血肿2例,椎动脉出血1例.再手术后恢复良好6例,中残2例,重残2例,植物生存1例,死亡3例.结论 对于行颅底肿瘤手术的患者,应加强围手术期管理,减少再次手术的发生.%Objective To report the clinical features of the patients who underwent emergent recraniotomy after skull base operation.Methods A serial of 14 cases of reoperation after elective surgery in the Department of Neurosurgery,Beijing Tiantan Hospital between October 2008 and October 2013 were reviewed.Six cases were skull basal meningioma,3 schwannoma,1 pituitary adenoma,1 craniopharyngioma,1 chondroma,1 angioleiomyoma,and 1 glomus jugular tumor.The mean length of first operation time was 9.2 h,and the mean amount of bleeding was 2 750 ml.The reason of reoperation was evaluated by the surgeons and experts,and then approved by all doctors.Results The clinical features of these reoperation patients included altered level of consciousness in 9 cases,unrecovered from anesthesia in two,abnormal CT scan in two and one sudden bleeding in wound.The mean time of abnormal CT scan was 17 h.As for the reason for

  4. Clinical Decision Support System on Basis of Case-Based Reasoning for Traditional Chinese Medicine%基于案例推理的中医临床诊疗决策支持系统

    Institute of Scientific and Technical Information of China (English)

    杨丽; 周雪忠; 毕斓馨; 张润顺; 王映辉; 刘保延; 谢琪

    2014-01-01

    Real world clinical diagnosis and treatment activity is a complicated decision-making task. The effective clinical cases of traditional Chinese medicine (TCM) of highly experienced physicians play an important role in the routine diagnosis and treatment and the formulation of medical knowledge . Based on TCM electronic medical record data, this paper proposed a decision support prototype system on TCM clinical diagnosis and treatment based on TCM effective clinical cases and case-based reasoning (CBR) algorithm, which is used to assist inexperienced clinicians to make more reliable clinical decisions, and thereafter to improve the clinical curative effectiveness. The system integrates TCM clinical cases data set from a TCM clinical data warehouse, and retrieves the similar cases based on CBR method. In particular, according to the underlying personalized diagnosis and treatment for patients in TCM, this system implemented a flexible diagnosis and treatment modification mechanism based on correlation analysis among symptoms, diagnoses (syndrome or pattern in TCM) and medicine. Finally, through a demonstration of clinical application, we made an initial evaluation of the usefulness and practical effects of the system.%真实世界临床诊疗活动是一个复杂的决策过程。中医学中名老中医效验案例对日常诊疗行为的指导和诊疗知识的普及具有重要作用。本文基于临床实际中医病历数据,提出基于名老中医临床诊疗效验案例,基于案例推理的中医临床诊疗决策支持系统,用来辅助经验不足的临床医师做出临床决策,以提高临床疗效。该系统从中医临床数据仓库中筛选加工形成中医学临床效验案例库,基于案例推理和相似性计算实现类似案例的检索和展示。特别是针对不同案例的个体性特点,实现了基于症-诊断-药相关分析的灵活的案例修正方案,以满足临床诊疗过程中个体化诊疗决策的需求

  5. Quantitative Reasoning and the Sine Function: The Case of Zac

    Science.gov (United States)

    Moore, Kevin C.

    2014-01-01

    A growing body of literature has identified quantitative and covariational reasoning as critical for secondary and undergraduate student learning, particularly for topics that require students to make sense of relationships between quantities. The present study extends this body of literature by characterizing an undergraduate precalculus…

  6. Intelligent design of investment casting mold based on a hybrid reasoning method

    Institute of Scientific and Technical Information of China (English)

    Jiang Ruisong; Zhang Dinghua; Wang Wenhu; Bu Kun

    2009-01-01

    A hybrid reasoning model was proposed in which CBR (case-based reasoning) was applied to the conceptual design and RBR (rule-based reasoning) was applied to the detailed design after research of the design process and domain knowledge of the acre-engine turbine blade investment casting mold design field. In the conceptual design stage, the representation and retrieval technologies were researched which improve the retrieval efficiency. Meanwhile, RBR was used to modify the retrieval result. The experimentation shows that the approach in this study can be used to obtain a more satisfactory design result.

  7. AUTOMATIC MULTILEVEL IMAGE SEGMENTATION BASED ON FUZZY REASONING

    Directory of Open Access Journals (Sweden)

    Liang Tang

    2011-05-01

    Full Text Available An automatic multilevel image segmentation method based on sup-star fuzzy reasoning (SSFR is presented. Using the well-known sup-star fuzzy reasoning technique, the proposed algorithm combines the global statistical information implied in the histogram with the local information represented by the fuzzy sets of gray-levels, and aggregates all the gray-levels into several classes characterized by the local maximum values of the histogram. The presented method has the merits of determining the number of the segmentation classes automatically, and avoiding to calculating thresholds of segmentation. Emulating and real image segmentation experiments demonstrate that the SSFR is effective.

  8. Agent-based reasoning for distributed multi-INT analysis

    Science.gov (United States)

    Inchiosa, Mario E.; Parker, Miles T.; Perline, Richard

    2006-05-01

    Fully exploiting the intelligence community's exponentially growing data resources will require computational approaches differing radically from those currently available. Intelligence data is massive, distributed, and heterogeneous. Conventional approaches requiring highly structured and centralized data will not meet this challenge. We report on a new approach, Agent-Based Reasoning (ABR). In NIST evaluations, the use of ABR software tripled analysts' solution speed, doubled accuracy, and halved perceived difficulty. ABR makes use of populations of fine-grained, locally interacting agents that collectively reason about intelligence scenarios in a self-organizing, "bottom-up" process akin to those found in biological and other complex systems. Reproduction rules allow agents to make inferences from multi-INT data, while movement rules organize information and optimize reasoning. Complementary deterministic and stochastic agent behaviors enhance reasoning power and flexibility. Agent interaction via small-world networks - such as are found in nervous systems, social networks, and power distribution grids - dramatically increases the rate of discovering intelligence fragments that usefully connect to yield new inferences. Small-world networks also support the distributed processing necessary to address intelligence community data challenges. In addition, we have found that ABR pre-processing can boost the performance of commercial text clustering software. Finally, we have demonstrated interoperability with Knowledge Engineering systems and seen that reasoning across diverse data sources can be a rich source of inferences.

  9. Reasoning about Use Cases using Logic Grammars and Constraints

    DEFF Research Database (Denmark)

    Christiansen, Henning; Have, Christian Theil; Tveitane, Knut

    2007-01-01

    We consider automated transition from Use Cases in a restricted natural language syntax into UML models, by trying to capture the semantics of the natural language and map it into building blocks of the object oriented programming paradigm. Syntax and semantic analysis is done in a framework...

  10. Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Discrete DAG Cases

    Institute of Scientific and Technical Information of China (English)

    Qin Zhang

    2012-01-01

    Developed from the dynamic causality diagram (DCD) model,a new approach for knowledge representation and reasoning named as dynamic uncertain causality graph (DUCG) is presented,which focuses on the compact representation of complex uncertain causalities and efficient probabilistic inference.It is pointed out that the existing models of compact representation and inference in Bayesian Network (BN) is applicable in single-valued cases,but may not be suitable to be applied in multi-valued cases.DUCG overcomes this problem and beyond.The main features of DUCG are:1) compactly and graphically representing complex conditional probability distributions (CPDs),regardless of whether the cases are single-valued or multi-valued; 2) able to perform exact reasoning in the case of the incomplete knowledge representation;3) simplifying the graphical knowledge base conditional on observations before other calculations,so that the scale and complexity of problem can be reduced exponentially; 4) the efficient two-step inference algorithm consisting of (a) logic operation to find all possible hypotheses in concern for given observations and (b) the probability calculation for these hypotheses; and 5) much less relying on the parameter accuracy.An alarm system example is provided to illustrate the DUCG methodology.

  11. A geometric reasoning based algorithm for point pattern matching

    Institute of Scientific and Technical Information of China (English)

    徐文立; 张立华

    2001-01-01

    Point pattern matching (PPM) is an important topic in computer vision and pattern recognition. It can be widely used in many areas such as image registration, object recognition, motion detection, target tracking, autonomous navigation, and pose estimation. This paper discusses the incomplete matching problem of two point sets under Euclidean transformation. According to geometric reasoning, some definitions for matching clique, support point pair, support index set, and support index matrix, etc. are given. Based on the properties and theorems of them, a novel reasoning algorithm is presented, which searches for the optimal sOlLtion from top to bottom and could find out as many consistent corresponding point pairs as possible. Theoretical analysis and experimental results show that the new algorithm is very effective, and could be, under some conditions, applied to the PPM problem under other kind of transformations.

  12. Toward translational incremental similarity-based reasoning in breast cancer grading

    Science.gov (United States)

    Tutac, Adina E.; Racoceanu, Daniel; Leow, Wee-Keng; Müller, Henning; Putti, Thomas; Cretu, Vladimir

    2009-02-01

    One of the fundamental issues in bridging the gap between the proliferation of Content-Based Image Retrieval (CBIR) systems in the scientific literature and the deficiency of their usage in medical community is based on the characteristic of CBIR to access information by images or/and text only. Yet, the way physicians are reasoning about patients leads intuitively to a case representation. Hence, a proper solution to overcome this gap is to consider a CBIR approach inspired by Case-Based Reasoning (CBR), which naturally introduces medical knowledge structured by cases. Moreover, in a CBR system, the knowledge is incrementally added and learned. The purpose of this study is to initiate a translational solution from CBIR algorithms to clinical practice, using a CBIR/CBR hybrid approach. Therefore, we advance the idea of a translational incremental similarity-based reasoning (TISBR), using combined CBIR and CBR characteristics: incremental learning of medical knowledge, medical case-based structure of the knowledge (CBR), image usage to retrieve similar cases (CBIR), similarity concept (central for both paradigms). For this purpose, three major axes are explored: the indexing, the cases retrieval and the search refinement, applied to Breast Cancer Grading (BCG), a powerful breast cancer prognosis exam. The effectiveness of this strategy is currently evaluated over cases provided by the Pathology Department of Singapore National University Hospital, for the indexing. With its current accuracy, TISBR launches interesting perspectives for complex reasoning in future medical research, opening the way to a better knowledge traceability and a better acceptance rate of computer-aided diagnosis assistance among practitioners.

  13. Case-based medical informatics

    Directory of Open Access Journals (Sweden)

    Arocha José F

    2004-11-01

    Full Text Available Abstract Background The "applied" nature distinguishes applied sciences from theoretical sciences. To emphasize this distinction, we begin with a general, meta-level overview of the scientific endeavor. We introduce the knowledge spectrum and four interconnected modalities of knowledge. In addition to the traditional differentiation between implicit and explicit knowledge we outline the concepts of general and individual knowledge. We connect general knowledge with the "frame problem," a fundamental issue of artificial intelligence, and individual knowledge with another important paradigm of artificial intelligence, case-based reasoning, a method of individual knowledge processing that aims at solving new problems based on the solutions to similar past problems. We outline the fundamental differences between Medical Informatics and theoretical sciences and propose that Medical Informatics research should advance individual knowledge processing (case-based reasoning and that natural language processing research is an important step towards this goal that may have ethical implications for patient-centered health medicine. Discussion We focus on fundamental aspects of decision-making, which connect human expertise with individual knowledge processing. We continue with a knowledge spectrum perspective on biomedical knowledge and conclude that case-based reasoning is the paradigm that can advance towards personalized healthcare and that can enable the education of patients and providers. We center the discussion on formal methods of knowledge representation around the frame problem. We propose a context-dependent view on the notion of "meaning" and advocate the need for case-based reasoning research and natural language processing. In the context of memory based knowledge processing, pattern recognition, comparison and analogy-making, we conclude that while humans seem to naturally support the case-based reasoning paradigm (memory of past experiences

  14. Theory-based Bayesian models of inductive learning and reasoning.

    Science.gov (United States)

    Tenenbaum, Joshua B; Griffiths, Thomas L; Kemp, Charles

    2006-07-01

    Inductive inference allows humans to make powerful generalizations from sparse data when learning about word meanings, unobserved properties, causal relationships, and many other aspects of the world. Traditional accounts of induction emphasize either the power of statistical learning, or the importance of strong constraints from structured domain knowledge, intuitive theories or schemas. We argue that both components are necessary to explain the nature, use and acquisition of human knowledge, and we introduce a theory-based Bayesian framework for modeling inductive learning and reasoning as statistical inferences over structured knowledge representations.

  15. A Common Reasoning Model and Its Application in Knowledge—Based System

    Institute of Scientific and Technical Information of China (English)

    郑方青

    1991-01-01

    To use reasoning knowledge accurately and efficiently,many reasoning methods have been proposed.However,the differences in form among the methods may obstruct the systematical analysis and harmonious integration of them.In this paper,a common reasoning model JUM(Judgement Model)is introduced.According to JUM,a common knowledge representation form is abstracted from different reasoning methods and its limitation is reduced.We also propose an algorithm for transforming one type of JUMs into another.In some cases,the algorithm can be used to resolve the key problem of integrating different types of JUM in one system.It is possible that a new architecture of knowledge-based system can be realized under JUM.

  16. Probabilistic reasoning for assembly-based 3D modeling

    KAUST Repository

    Chaudhuri, Siddhartha

    2011-01-01

    Assembly-based modeling is a promising approach to broadening the accessibility of 3D modeling. In assembly-based modeling, new models are assembled from shape components extracted from a database. A key challenge in assembly-based modeling is the identification of relevant components to be presented to the user. In this paper, we introduce a probabilistic reasoning approach to this problem. Given a repository of shapes, our approach learns a probabilistic graphical model that encodes semantic and geometric relationships among shape components. The probabilistic model is used to present components that are semantically and stylistically compatible with the 3D model that is being assembled. Our experiments indicate that the probabilistic model increases the relevance of presented components. © 2011 ACM.

  17. Belief inhibition in children's reasoning: memory-based evidence.

    Science.gov (United States)

    Steegen, Sara; De Neys, Wim

    2012-06-01

    Adult reasoning has been shown as mediated by the inhibition of intuitive beliefs that are in conflict with logic. The current study introduces a classic procedure from the memory field to investigate belief inhibition in 12- to 17-year-old reasoners. A lexical decision task was used to probe the memory accessibility of beliefs that were cued during thinking on syllogistic reasoning problems. Results indicated an impaired memory access for words associated with misleading beliefs that were cued during reasoning if syllogisms had been solved correctly. This finding supports the claim that even for younger reasoners, correct reasoning is mediated by inhibitory processing as soon as intuitive beliefs conflict with logical considerations.

  18. Computer-Based Assessment of School Readiness and Early Reasoning

    Science.gov (United States)

    Csapó, Beno; Molnár, Gyöngyvér; Nagy, József

    2014-01-01

    This study explores the potential of using online tests for the assessment of school readiness and for monitoring early reasoning. Four tests of a face-to-face-administered school readiness test battery (speech sound discrimination, relational reasoning, counting and basic numeracy, and deductive reasoning) and a paper-and-pencil inductive…

  19. Teaching dual-process diagnostic reasoning to doctor of nursing practice students: problem-based learning and the illness script.

    Science.gov (United States)

    Durham, Catherine O; Fowler, Terri; Kennedy, Sally

    2014-11-01

    Accelerating the development of diagnostic reasoning skills for nurse practitioner students is high on the wish list of many faculty. The purpose of this article is to describe how the teaching strategy of problem-based learning (PBL) that drills the hypothetico-deductive or analytic reasoning process when combined with an assignment that fosters pattern recognition (a nonanalytic process) teaches and reinforces the dual process of diagnostic reasoning. In an online Doctor of Nursing Practice program, four PBL cases that start with the same symptom unfold over 2 weeks. These four cases follow different paths as they unfold leading to different diagnoses. Culminating each PBL case, a unique assignment called an illness script was developed to foster the development of pattern recognition. When combined with hypothetico-deductive reasoning drilled during the PBL case, students experience the dual process approach to diagnostic reasoning used by clinicians.

  20. CAD Parts-Based Assembly Modeling by Probabilistic Reasoning

    KAUST Repository

    Zhang, Kai-Ke

    2016-04-11

    Nowadays, increasing amount of parts and sub-assemblies are publicly available, which can be used directly for product development instead of creating from scratch. In this paper, we propose an interactive design framework for efficient and smart assembly modeling, in order to improve the design efficiency. Our approach is based on a probabilistic reasoning. Given a collection of industrial assemblies, we learn a probabilistic graphical model from the relationships between the parts of assemblies. Then in the modeling stage, this probabilistic model is used to suggest the most likely used parts compatible with the current assembly. Finally, the parts are assembled under certain geometric constraints. We demonstrate the effectiveness of our framework through a variety of assembly models produced by our prototype system. © 2015 IEEE.

  1. Symbolic Processing Combined with Model-Based Reasoning

    Science.gov (United States)

    James, Mark

    2009-01-01

    A computer program for the detection of present and prediction of future discrete states of a complex, real-time engineering system utilizes a combination of symbolic processing and numerical model-based reasoning. One of the biggest weaknesses of a purely symbolic approach is that it enables prediction of only future discrete states while missing all unmodeled states or leading to incorrect identification of an unmodeled state as a modeled one. A purely numerical approach is based on a combination of statistical methods and mathematical models of the applicable physics and necessitates development of a complete model to the level of fidelity required for prediction. In addition, a purely numerical approach does not afford the ability to qualify its results without some form of symbolic processing. The present software implements numerical algorithms to detect unmodeled events and symbolic algorithms to predict expected behavior, correlate the expected behavior with the unmodeled events, and interpret the results in order to predict future discrete states. The approach embodied in this software differs from that of the BEAM methodology (aspects of which have been discussed in several prior NASA Tech Briefs articles), which provides for prediction of future measurements in the continuous-data domain.

  2. OWL-based reasoning methods for validating archetypes.

    Science.gov (United States)

    Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás

    2013-04-01

    Some modern Electronic Healthcare Record (EHR) architectures and standards are based on the dual model-based architecture, which defines two conceptual levels: reference model and archetype model. Such architectures represent EHR domain knowledge by means of archetypes, which are considered by many researchers to play a fundamental role for the achievement of semantic interoperability in healthcare. Consequently, formal methods for validating archetypes are necessary. In recent years, there has been an increasing interest in exploring how semantic web technologies in general, and ontologies in particular, can facilitate the representation and management of archetypes, including binding to terminologies, but no solution based on such technologies has been provided to date to validate archetypes. Our approach represents archetypes by means of OWL ontologies. This permits to combine the two levels of the dual model-based architecture in one modeling framework which can also integrate terminologies available in OWL format. The validation method consists of reasoning on those ontologies to find modeling errors in archetypes: incorrect restrictions over the reference model, non-conformant archetype specializations and inconsistent terminological bindings. The archetypes available in the repositories supported by the openEHR Foundation and the NHS Connecting for Health Program, which are the two largest publicly available ones, have been analyzed with our validation method. For such purpose, we have implemented a software tool called Archeck. Our results show that around 1/5 of archetype specializations contain modeling errors, the most common mistakes being related to coded terms and terminological bindings. The analysis of each repository reveals that different patterns of errors are found in both repositories. This result reinforces the need for making serious efforts in improving archetype design processes.

  3. Data science in R a case studies approach to computational reasoning and problem solving

    CERN Document Server

    Nolan, Deborah

    2015-01-01

    Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book's collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including: Non-standar

  4. A Knowledge-reuse Based Intelligent Reasoning Model for Worsted Process Optimization

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The textile process planning is a knowledge reuse process in nature, which depends on the expert's knowledge and experience. It seems to be very difficult to build up an integral mathematical model to optimize hundreds of the processing parameters. In fact, the existing process cases which were recorded to ensure the ability to trace production steps can also be used to optimize the process itself. This paper presents a novel knowledge-reuse based hybrid intelligent reasoning model (HIRM) for worsted process optimization. The model architecture and reasoning mechanism are respectively described. An applied case with HIRM is given to demonstrate that the best process decision can be made, and important processing parameters such as for raw material optimized.

  5. Modeling argumentation based semantics using non-monotonic reasoning

    OpenAIRE

    2005-01-01

    Argumentation theory is an alternative style of formalizing non-monotonic reasoning. It seems, argumentation theory is a suitable framework for practical and uncertain reasoning, where arguments support conclusions. Dung's approach is an unifying framework which has played an influential role on argumentation research and Artificial Intelligence. Even though the success of the argumentation theory, it seems that argumentation theory is so far from being efficiently implemented like the logic ...

  6. Effects of Inquiry-Based Agriscience Instruction on Student Scientific Reasoning

    Science.gov (United States)

    Thoron, Andrew C.; Myers, Brian E.

    2012-01-01

    The purpose of this study was to determine the effect of inquiry-based agriscience instruction on student scientific reasoning. Scientific reasoning is defined as the use of the scientific method, inductive, and deductive reasoning to develop and test hypothesis. Developing scientific reasoning skills can provide learners with a connection to the…

  7. Study on Case-Based Fixture Design

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Fixture is an important manufacturing activity. A fixture design system based on case-based reasoning (CBR) is proposed in this paper. A new method of case representation on the basis of fixture function is presented, where the case representation is constituted of workpiece knowledge, processing feature knowledge, and fixture feature knowledge. Running the prototype system shows that the knowledge representation method, using cases, is a better way to transform and explain the design knowledge.

  8. 铁路超限超重货物装载加固可拓实例推理方法%Extension and case-based reasoning method for loading and reinforcement of railway out-of-gauge and enhanced-load goods

    Institute of Scientific and Technical Information of China (English)

    游伟; 雷定猷

    2013-01-01

    Loading and reinforcement decision problem on railway out-of-gauge and enhanced-load goods with large, big, super heavy and costly features is a typical semi-structured problem because of lots of influence factors and few factors are expressed quantitatively. A reasonable extension and case-based reasoning technique for loading and reinforcement decision problem is thus vital for improving secure loading level and transport quality. Combining with features and decision factors about such prob-lem, and with extension and basic element and also case-based reasoning technique, extension and basic element models for case-based reasoning data block and rules one are designed. Characteristics of the extension case attributes are analyzed and cal-culating formulas for local and global similarities among different attributes and cases are designed. An extension and case-based reasoning algorithm for such problem is further put forward to achieve its solution for new cases to be solved. The instance shows that such extension and case-based reasoning method put forward in the paper can make reasonable and secure loading and reinforcement arrangement and also solve the loading and reinforcement decision problem on railway out-of-gauge and enhanced-load goods effectively.%铁路超限超重货物具有长大、笨重和价值昂贵等特征,装载加固影响因素众多且无法完全量化表达,超限超重货物装载加固决策问题是一个半结构化问题,设计装载加固可拓实例推理技术对提升铁路超限超重货物安全装载水平和运输质量尤为重要。结合铁路超限超重货物特征及其装载加固决策要素,采用可拓基元与实例推理技术,构造超限超重货物装载加固实例推理基础数据与推理规则模块的可拓基元模型,分析装载加固可拓实例属性取值特征,给出局部与全局相似度计算公式,设计超限超重货物装载加固可拓实例推理算法,确定待解实

  9. Episodic Reasoning for Vision-Based Human Action Recognition

    Directory of Open Access Journals (Sweden)

    Maria J. Santofimia

    2014-01-01

    Full Text Available Smart Spaces, Ambient Intelligence, and Ambient Assisted Living are environmental paradigms that strongly depend on their capability to recognize human actions. While most solutions rest on sensor value interpretations and video analysis applications, few have realized the importance of incorporating common-sense capabilities to support the recognition process. Unfortunately, human action recognition cannot be successfully accomplished by only analyzing body postures. On the contrary, this task should be supported by profound knowledge of human agency nature and its tight connection to the reasons and motivations that explain it. The combination of this knowledge and the knowledge about how the world works is essential for recognizing and understanding human actions without committing common-senseless mistakes. This work demonstrates the impact that episodic reasoning has in improving the accuracy of a computer vision system for human action recognition. This work also presents formalization, implementation, and evaluation details of the knowledge model that supports the episodic reasoning.

  10. α-Automated Reasoning Method Based on Lattice-Valued Propositional Logic LP(X)

    Institute of Scientific and Technical Information of China (English)

    王伟; 徐扬; 王学芳

    2002-01-01

    This paper is focused on automated reasoning based on classical propositional logic and lattice-valued propositional logic LP(X). A new method of automated reasoning is given, and the soundness and completeness theorems of this method are proved.

  11. The death of argument fallacies in agent based reasoning

    CERN Document Server

    Woods, John

    2004-01-01

    This book is a sequel to the classic work, Fallacies Selected Papers 1972 - 1982 (1989), coauthored with Douglas Walton, and is a further major contribution to the Woods-Walton Approach to the logic of fallacious reasoning No one disputes the formitable accomplishments of modern mathematical logic; but equally no one seriously believes that classical logic is much good for the analysis of real-life argument and reasoning, or that it is the best place in which to transact the business of fallacy theory One of the principal innovations of the book is its adaptation of systems of logic to the particular requirements of fallacy theory The book develops logical analyses which take into account such features of real-life cognitive agency as resource- availability and computational complexity The book is also an invitation to interdisciplinary cooperation, linking the relevant branches of logic with computer science, cognitive psychology, neurobiology, forensic science, linguistics, (including conversational analysi...

  12. A formalization of commonsense reasoning based on fuzzy logic

    Science.gov (United States)

    Zadeh, L. A.

    1985-01-01

    The basic idea underlying the approach outlined in this paper is that commonsense knowledge may be regarded as a collection of dispositions, that is, propositions which are preponderantly, but not necessarily always, true. Technically, a disposition may be interpreted as a proposition with implicit fuzzy quantifiers, e.g., most, almost all, usually, often, etc. For example, a disposition such as Swedes are blond may be interpreted as most Swedes are blond. For purposes of inference from commonsense knowledge, the conversion of a disposition into a proposition with explicit fuzzy quantifiers sets the stage for an application of syllogistic reasoning in which the premises are allowed to be of the form Q A's are B's, where A and B are fuzzy predicates and Q is a fuzzy quantifier. In general, the conclusion yielded by such reasoning is a proposition which may be converted into a disposition through the suppression of fuzzy quantifiers.

  13. Network Forensics Method Based on Evidence Graph and Vulnerability Reasoning

    Directory of Open Access Journals (Sweden)

    Jingsha He

    2016-11-01

    Full Text Available As the Internet becomes larger in scale, more complex in structure and more diversified in traffic, the number of crimes that utilize computer technologies is also increasing at a phenomenal rate. To react to the increasing number of computer crimes, the field of computer and network forensics has emerged. The general purpose of network forensics is to find malicious users or activities by gathering and dissecting firm evidences about computer crimes, e.g., hacking. However, due to the large volume of Internet traffic, not all the traffic captured and analyzed is valuable for investigation or confirmation. After analyzing some existing network forensics methods to identify common shortcomings, we propose in this paper a new network forensics method that uses a combination of network vulnerability and network evidence graph. In our proposed method, we use vulnerability evidence and reasoning algorithm to reconstruct attack scenarios and then backtrack the network packets to find the original evidences. Our proposed method can reconstruct attack scenarios effectively and then identify multi-staged attacks through evidential reasoning. Results of experiments show that the evidence graph constructed using our method is more complete and credible while possessing the reasoning capability.

  14. LFTOP: An LF-Based Approach to Domain-Specific Reasoning

    Institute of Scientific and Technical Information of China (English)

    Jian-Min Pang; Paul Callaghan; Zhao-Hui Luo

    2005-01-01

    A new approach to domain-specific reasoning is presented that is based on a type-theoretic logical framework (LF) but does not require the user to be an expert in type theory. The concepts of the domain and its related reasoning systems are formalized in LF, but the user works with the system through a syntax and interface appropriate to his/her work. A middle layer provides translation between the user syntax and LF, and allows additional support for reasoning (e.g., model checking). Thus, the complexity of the logical framework is hidden but the benefits of using type theory and its related tools are retained, such as precision and machine-checkable proofs. This approach is investigated through a number of case studies: here, the authors consider the verification of properties of concurrency. The authors have formalized a specification language (CCS) and logic (μ-calculus) in LF, together with useful lemmas, and a user-oriented syntax has been designed. The authors demonstrate the approach with simple examples. However, applying lemmas to objects introduced by the user may result in framework-level objects which cannot be translated back to the user level. The authors discuss this problem, define a notion of adequacy, and prove that in this case study, translation can always be reversed.

  15. Reflections on clinical reasoning in mental health occupational therapy: the case of the occupational therapy dynamic method

    Directory of Open Access Journals (Sweden)

    Taís Quevedo Marcolino

    2014-12-01

    Full Text Available The Clinical Reasoning Study supported by the American Occupational Therapy Association/AOTA and the American Occupational Therapy Foundation/AOTF in the United States in the late 1980s, had inaugurated the scientific production in the field and offered an initial framework on clinical reasoning for understanding and conducting clinical cases in Occupational Therapy. Most of the researches in this field have focused on reasoning processes, and point out the need to understand the contents of clinical thoughts, or how occupational therapists act and elaborate hypotheses, based on their background knowledge, in order to produce an explanatory theory. In this direction, this article presents the results of two studies from the author focused on understanding aspects of clinical reasoning of occupational therapists who work sustained by Occupational Therapy Dynamic Method/ MTOD, highlighting similarities and differences on diagnostic and procedural reasoning. The discussion points out need to expand the production of this type of research, in particular with Brazilian professionals, as well as the dissemination and study of this subject in the initial and continuing training of occupational therapists.

  16. Integration of Optimal Scheduling with Case-Based Planning.

    Science.gov (United States)

    1995-08-01

    integrates Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) systems. ’ Tachyon : A Constraint-Based Temporal Reasoning Model and Its...Implementation’ provides an overview of the Tachyon temporal’s reasoning system and discusses its possible applications. ’Dual-Use Applications of Tachyon : From...Force Structure Modeling to Manufacturing Scheduling’ discusses the application of Tachyon to real world problems, specifically military force deployment and manufacturing scheduling.

  17. A Target Advertisement System Based on TV Viewer's Profile Reasoning

    Science.gov (United States)

    Lim, Jeongyeon; Kim, Munjo; Lee, Bumshik; Kim, Munchurl; Lee, Heekyung; Lee, Han-Kyu

    With the rapidly growing Internet, the Internet broadcasting and web casting service have been one of the well-known services. Specially, it is expected that the IPTV service will be one of the principal services in the broadband network [2]. However, the current broadcasting environment is served for the general public and requires the passive attitude to consume the TV programs. For the advanced broadcasting environments, various research of the personalized broadcasting is needed. For example, the current unidirectional advertisement provides to the TV viewers the advertisement contents, depending on the popularity of TV programs, the viewing rates, the age groups of TV viewers, and the time bands of the TV programs being broadcast. It is not an efficient way to provide the useful information to the TV viewers from customization perspective. If a TV viewer does not need particular advertisement contents, then information may be wasteful to the TV viewer. Therefore, it is expected that the target advertisement service will be one of the important services in the personalized broadcasting environments. The current research in the area of the target advertisement classifies the TV viewers into clustered groups who have similar preference. The digital TV collaborative filtering estimates the user's favourite advertisement contents by using the usage history [1, 4, 5]. In these studies, the TV viewers are required to provide their profile information such as the gender, job, and ages to the service providers via a PC or Set-Top Box (STB) which is connected to digital TV. Based on explicit information, the advertisement contents are provided to the TV viewers in a customized way with tailored advertisement contents. However, the TV viewers may dislike exposing to the service providers their private information because of the misuse of it. In this case, it is difficult to provide appropriate target advertisement service.

  18. Improving the learning of clinical reasoning through computer-based cognitive representation

    Directory of Open Access Journals (Sweden)

    Bian Wu

    2014-12-01

    Full Text Available Objective: Clinical reasoning is usually taught using a problem-solving approach, which is widely adopted in medical education. However, learning through problem solving is difficult as a result of the contextualization and dynamic aspects of actual problems. Moreover, knowledge acquired from problem-solving practice tends to be inert and fragmented. This study proposed a computer-based cognitive representation approach that externalizes and facilitates the complex processes in learning clinical reasoning. The approach is operationalized in a computer-based cognitive representation tool that involves argument mapping to externalize the problem-solving process and concept mapping to reveal the knowledge constructed from the problems. Methods: Twenty-nine Year 3 or higher students from a medical school in east China participated in the study. Participants used the proposed approach implemented in an e-learning system to complete four learning cases in 4 weeks on an individual basis. For each case, students interacted with the problem to capture critical data, generate and justify hypotheses, make a diagnosis, recall relevant knowledge, and update their conceptual understanding of the problem domain. Meanwhile, students used the computer-based cognitive representation tool to articulate and represent the key elements and their interactions in the learning process. Results: A significant improvement was found in students’ learning products from the beginning to the end of the study, consistent with students’ report of close-to-moderate progress in developing problem-solving and knowledge-construction abilities. No significant differences were found between the pretest and posttest scores with the 4-week period. The cognitive representation approach was found to provide more formative assessment. Conclusions: The computer-based cognitive representation approach improved the learning of clinical reasoning in both problem solving and knowledge

  19. Grey parrots use inferential reasoning based on acoustic cues alone.

    Science.gov (United States)

    Schloegl, Christian; Schmidt, Judith; Boeckle, Markus; Weiß, Brigitte M; Kotrschal, Kurt

    2012-10-22

    Our ability to make logical inferences is considered as one of the cornerstones of human intelligence, fuelling investigations of reasoning abilities in non-human animals. Yet, the evidence to date is equivocal, with apes as the prime candidates to possess these skills. For instance, in a two-choice task, apes can identify the location of hidden food if it is indicated by a rattling noise caused by the shaking of a baited container. More importantly, they also use the absence of noise during the shaking of the empty container to infer that this container is not baited. However, since the inaugural report of apes solving this task, to the best of our knowledge, no comparable evidence could be found in any other tested species such as monkeys and dogs. Here, we report the first successful and instantaneous solution of the shaking task through logical inference by a non-ape species, the African grey parrot. Surprisingly, the performance of the birds was sensitive to the shaking movement: they were successful with containers shaken horizontally, but not with vertical shaking resembling parrot head-bobbing. Thus, grey parrots seem to possess ape-like cross-modal reasoning skills, but their reliance on these abilities is influenced by low-level interferences.

  20. Scientific Reasoning and Its Relationship with Problem Solving: The Case of Upper Primary Science Teachers

    Science.gov (United States)

    Alshamali, Mahmoud A.; Daher, Wajeeh M.

    2016-01-01

    This study aimed at identifying the levels of scientific reasoning of upper primary stage (grades 4-7) science teachers based on their use of a problem-solving strategy. The study sample (N = 138; 32 % male and 68 % female) was randomly selected using stratified sampling from an original population of 437 upper primary school teachers. The…

  1. The Case for Reasonable Accommodation of Conscientious Objections to Declarations of Brain Death.

    Science.gov (United States)

    Johnson, L Syd M

    2016-03-01

    Since its inception in 1968, the concept of whole-brain death has been contentious, and four decades on, controversy concerning the validity and coherence of whole-brain death continues unabated. Although whole-brain death is legally recognized and medically entrenched in the United States and elsewhere, there is reasonable disagreement among physicians, philosophers, and the public concerning whether brain death is really equivalent to death as it has been traditionally understood. A handful of states have acknowledged this plurality of viewpoints and enacted "conscience clauses" that require "reasonable accommodation" of religious and moral objections to the determination of death by neurological criteria. This paper argues for the universal adoption of "reasonable accommodation" policies using the New Jersey statute as a model, in light of both the ongoing controversy and the recent case of Jahi McMath, a child whose family raised religious objections to a declaration of brain death. Public policies that accommodate reasonable, divergent viewpoints concerning death provide a practical and compassionate way to resolve those conflicts that are the most urgent, painful, and difficult to reconcile.

  2. Model Based Reasoning by Introductory Students When Analyzing Earth Systems and Societal Challenges

    Science.gov (United States)

    Holder, L. N.; Herbert, B. E.

    2014-12-01

    Understanding how students use their conceptual models to reason about societal challenges involving societal issues such as natural hazard risk assessment, environmental policy and management, and energy resources can improve instructional activity design that directly impacts student motivation and literacy. To address this question, we created four laboratory exercises for an introductory physical geology course at Texas A&M University that engages students in authentic scientific practices by using real world problems and issues that affect societies based on the theory of situated cognition. Our case-study design allows us to investigate the various ways that students utilize model based reasoning to identify and propose solutions to societally relevant issues. In each of the four interventions, approximately 60 students in three sections of introductory physical geology were expected to represent and evaluate scientific data, make evidence-based claims about the data trends, use those claims to express conceptual models, and use their models to analyze societal challenges. Throughout each step of the laboratory exercise students were asked to justify their claims, models, and data representations using evidence and through the use of argumentation with peers. Cognitive apprenticeship was the foundation for instruction used to scaffold students so that in the first exercise they are given a partially completed model and in the last exercise students are asked to generate a conceptual model on their own. Student artifacts, including representation of earth systems, representation of scientific data, verbal and written explanations of models and scientific arguments, and written solutions to specific societal issues or environmental problems surrounding earth systems, were analyzed through the use of a rubric that modeled authentic expertise and students were sorted into three categories. Written artifacts were examined to identify student argumentation and

  3. Intrusion-based reasoning and depression: cross-sectional and prospective relationships.

    Science.gov (United States)

    Berle, David; Moulds, Michelle L

    2014-01-01

    Intrusion-based reasoning refers to the tendency to form interpretations about oneself or a situation based on the occurrence of a negative intrusive autobiographical memory. Intrusion-based reasoning characterises post-traumatic stress disorder, but has not yet been investigated in depression. We report two studies that aimed to investigate this. In Study 1 both high (n = 42) and low (n = 28) dysphoric participants demonstrated intrusion-based reasoning. High-dysphoric individuals engaged in self-referent intrusion-based reasoning to a greater extent than did low-dysphoric participants. In Study 2 there were no significant differences in intrusion-based reasoning between currently depressed (n = 27) and non-depressed (n = 51) participants, and intrusion-based reasoning did not predict depressive symptoms at 6-month follow-up. Interestingly, previously (n = 26) but not currently (n = 27) depressed participants engaged in intrusion-based reasoning to a greater extent than never-depressed participants (n = 25), indicating the possibility that intrusion-based reasoning may serve as a "scar" from previous episodes. The implications of these findings are discussed.

  4. Ontology-Based Representation and Reasoning in Building Construction Cost Estimation in China

    Directory of Open Access Journals (Sweden)

    Xin Liu

    2016-08-01

    Full Text Available Cost estimation is one of the most critical tasks for building construction project management. The existing building construction cost estimation methods of many countries, including China, require information from several sources, including material, labor, and equipment, and tend to be manual, time-consuming, and error-prone. To solve these problems, a building construction cost estimation model based on ontology representation and reasoning is established, which includes three major components, i.e., concept model ontology, work item ontology, and construction condition ontology. Using this model, the cost estimation information is modeled into OWL axioms and SWRL rules that leverage the semantically rich ontology representation to reason about cost estimation. Based on OWL axioms and SWRL rules, the cost estimation information can be translated into a set of concept models, work items, and construction conditions associated with the specific construction conditions. The proposed method is demonstrated in Protégé 3.4.8 through case studies based on the Measurement Specifications of Building Construction and Decoration Engineering taken from GB 50500-2013 (the Chinese national mandatory specifications. Finally, this research discusses the limitations of the proposed method and future research directions. The proposed method can help a building construction cost estimator extract information more easily and quickly.

  5. A Framework for Analyzing Evidence-Based Reasoning in Science Classroom Discourse

    Science.gov (United States)

    Furtak, Erin Marie; Hardy, Ilonca; Beinbrech, Christina; Shavelson, Richard J.; Shemwell, Jonathan T.

    2010-01-01

    This article adapts the Evidence-Based Reasoning (EBR) Framework (Brown, Furtak, Timms, Nagashima, & Wilson, this issue) to create a coding system for assessing argumentation in science classroom discourse. The instrument, "Evidence-Based Reasoning in Science Classroom Discourse", is intended to provide a means for measuring the quality of EBR in…

  6. Agent-based analysis and simulation of meta-reasoning processes in strategic naval planning

    NARCIS (Netherlands)

    Hoogendoorn, M.; Jonker, C.M.; Maanen, P.P. van; Treur, J.

    2009-01-01

    This paper presents analysis and simulation of meta-reasoning processes based on an agent-based meta-level architecture for strategic reasoning in naval planning. The architecture was designed as a generic agent model and instantiated with decision knowledge acquired from naval domain experts and wa

  7. Towards a Generic Trace for Rule Based Constraint Reasoning

    CERN Document Server

    Junior, Armando Gonçalves Da Silva; Menezes, Luis-Carlos; Da Silva, Marcos-Aurélio Almeida; Robin, Jacques

    2012-01-01

    CHR is a very versatile programming language that allows programmers to declaratively specify constraint solvers. An important part of the development of such solvers is in their testing and debugging phases. Current CHR implementations support those phases by offering tracing facilities with limited information. In this report, we propose a new trace for CHR which contains enough information to analyze any aspects of \\CHRv\\ execution at some useful abstract level, common to several implementations. %a large family of rule based solvers. This approach is based on the idea of generic trace. Such a trace is formally defined as an extension of the $\\omega_r^\\lor$ semantics of CHR. We show that it can be derived form the SWI Prolog CHR trace.

  8. Modular Affective Reasoning-Based Versatile Introspective Architecture (MARVIN)

    Science.gov (United States)

    2008-08-14

    operating in complex, dynamic, and social environments will require affect-like mechanisms to be effective ( Minsky , 2006; Pfeifer, 1993; Sloman & Croucher...both for eventual transition and short-term, rapid prototyping and evaluation. Task 2: Perform Human Affect and Affective Modeling Literature Review...and development that focuses on designing and developing additional affect-based computational models , rigorously testing and evaluating the

  9. Inductive reasoning.

    Science.gov (United States)

    Hayes, Brett K; Heit, Evan; Swendsen, Haruka

    2010-03-01

    Inductive reasoning entails using existing knowledge or observations to make predictions about novel cases. We review recent findings in research on category-based induction as well as theoretical models of these results, including similarity-based models, connectionist networks, an account based on relevance theory, Bayesian models, and other mathematical models. A number of touchstone empirical phenomena that involve taxonomic similarity are described. We also examine phenomena involving more complex background knowledge about premises and conclusions of inductive arguments and the properties referenced. Earlier models are shown to give a good account of similarity-based phenomena but not knowledge-based phenomena. Recent models that aim to account for both similarity-based and knowledge-based phenomena are reviewed and evaluated. Among the most important new directions in induction research are a focus on induction with uncertain premise categories, the modeling of the relationship between inductive and deductive reasoning, and examination of the neural substrates of induction. A common theme in both the well-established and emerging lines of induction research is the need to develop well-articulated and empirically testable formal models of induction. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website.

  10. Knowledge engineering tools for reasoning with scientific observations and interpretations: a neural connectivity use case

    Directory of Open Access Journals (Sweden)

    Bota Mihail

    2011-08-01

    Full Text Available Abstract Background We address the goal of curating observations from published experiments in a generalizable form; reasoning over these observations to generate interpretations and then querying this interpreted knowledge to supply the supporting evidence. We present web-application software as part of the 'BioScholar' project (R01-GM083871 that fully instantiates this process for a well-defined domain: using tract-tracing experiments to study the neural connectivity of the rat brain. Results The main contribution of this work is to provide the first instantiation of a knowledge representation for experimental observations called 'Knowledge Engineering from Experimental Design' (KEfED based on experimental variables and their interdependencies. The software has three parts: (a the KEfED model editor - a design editor for creating KEfED models by drawing a flow diagram of an experimental protocol; (b the KEfED data interface - a spreadsheet-like tool that permits users to enter experimental data pertaining to a specific model; (c a 'neural connection matrix' interface that presents neural connectivity as a table of ordinal connection strengths representing the interpretations of tract-tracing data. This tool also allows the user to view experimental evidence pertaining to a specific connection. BioScholar is built in Flex 3.5. It uses Persevere (a noSQL database as a flexible data store and PowerLoom® (a mature First Order Logic reasoning system to execute queries using spatial reasoning over the BAMS neuroanatomical ontology. Conclusions We first introduce the KEfED approach as a general approach and describe its possible role as a way of introducing structured reasoning into models of argumentation within new models of scientific publication. We then describe the design and implementation of our example application: the BioScholar software. This is presented as a possible biocuration interface and supplementary reasoning toolkit for a larger

  11. Efficient Path Query and Reasoning Method Based on Rare Axis

    Institute of Scientific and Technical Information of China (English)

    姜洋; 冯志勇; 王鑫马晓宁

    2015-01-01

    A new concept of rare axis based on statistical facts is proposed, and an evaluation algorithm is designed thereafter. For the nested regular expressions containing rare axes, the proposed algorithm can reduce its evaluation complexity from polynomial time to nearly linear time. The distributed technique is also employed to construct the navigation axis indexes for resource description framework (RDF) graph data. Experiment results in DrugBank and BioGRID show that this method can improve the query efficiency significantly while ensuring the accuracy and meet the query requirements on Web-scale RDF graph data.

  12. Colovesical fistula causing an uncommon reason for failure of computed tomography colonography: a case report

    Directory of Open Access Journals (Sweden)

    Neroladaki Angeliki

    2012-07-01

    Full Text Available Abstract Introduction Computed tomography colonography, or virtual colonoscopy, is a good alternative to optical colonoscopy. However, suboptimal patient preparation or colon distension may reduce the diagnostic accuracy of this imaging technique. Case presentation We report the case of an 83-year-old Caucasian woman who presented with a five-month history of pneumaturia and fecaluria and an acute episode of macrohematuria, leading to a high clinical suspicion of a colovesical fistula. The fistula was confirmed by standard contrast-enhanced computed tomography. Optical colonoscopy was performed to exclude the presence of an underlying colonic neoplasm. Since optical colonoscopy was incomplete, computed tomography colonography was performed, but also failed due to inadequate colon distension. The insufflated air directly accumulated within the bladder via the large fistula. Conclusions Clinicians should consider colovesical fistula as a potential reason for computed tomography colonography failure.

  13. Student-Creation of eCases for Clinical Reasoning in Pharmacy

    Science.gov (United States)

    Yeung, Mary Au; Lam, Paul; McNaught, Carmel

    2008-01-01

    Case-based activities are widely proclaimed to enable better learning through allowing students to practice application of concepts in real-life situations. This paper reports an investigation into the learning benefits derived from engaging students in the development of Pharmacy eCases. This is a small scale pilot study. Two student-developers…

  14. CASE STORAGE BASED ON RELATIONAL DATABASE

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    This paper focused on the integration of case base and relational database management system (RDBMS). The organizational and commercial impact will be far greater if the case-based reasoning (CBR) system is integrated with main stream information system, which is exemplified by RDBMS. The scalability, security and robustness provided by a commercial RDBMS facilitate the CBR system to manage the case base.The virtual table in relational database (RDB) is important for CBR systems to implement the flexibility of case template. It was discussed how to implement a flexible and succinct case template, and a mapping model between case template and RDB was proposed. The key idea is to build the case as the virtual view of underlying data.

  15. Universal triple I fuzzy reasoning algorithm of function model based on quotient space

    Institute of Scientific and Technical Information of China (English)

    Lu Qiang; Shen Guanting; and Liu Xiaoping

    2012-01-01

    Aiming at the deficiencies of analysis capacity from different levels and fuzzy treating method in product function modeling of conceptual design, the theory of quotient space and universal triple I fuzzy reasoning method are introduced, and then the function modeling algorithm based on the universal triple I fuzzy reasoning method is proposed. Firstly, the product function granular model based on the quotient space theory is built, with its function granular representation and computing rules defined at the same time. Secondly, in order to quickly achieve function granular model from function requirement, the function modeling method based on universal triple I fuzzy reasoning is put forward. Within the fuzzy reasoning of universal triple I method, the small-distance-activating method is proposed as the kernel of fuzzy reasoning; how to change function requirements to fuzzy ones, fuzzy computing methods, and strategy of fuzzy reasoning are respectively investigated as well; the function modeling algorithm based on the universal triple I fuzzy reasoning method is achieved. Lastly, the validity of the function granular model and function modeling algorithm is validated. Through our method, the reasonable function granular model can be quickly achieved from function requirements, and the fuzzy character of conceptual design can be well handled, which greatly improves conceptual design.

  16. Neural Correlates of Post-Conventional Moral Reasoning: A Voxel-Based Morphometry Study

    OpenAIRE

    Kristin Prehn; Marc Korczykowski; Hengyi Rao; Zhuo Fang; Detre, John A.; Robertson, Diana C.

    2015-01-01

    Going back to Kohlberg, moral development research affirms that people progress through different stages of moral reasoning as cognitive abilities mature. Individuals at a lower level of moral reasoning judge moral issues mainly based on self-interest (personal interests schema) or based on adherence to laws and rules (maintaining norms schema), whereas individuals at the post-conventional level judge moral issues based on deeper principles and shared ideals. However, the extent to which mora...

  17. Executable specifications for hypothesis-based reasoning with Prolog and Constraint Handling Rules

    DEFF Research Database (Denmark)

    Christiansen, Henning

    2009-01-01

    Constraint Handling Rules (CHR) is an extension to Prolog which opens up a  spectrum of hypotheses-based reasoning in logic programs without additional interpretation overhead. Abduction with integrity constraints is one example of hypotheses-based reasoning which can be implemented directly...... in Prolog and CHR with a straightforward use of available and efficiently implemented facilities The present paper clarifies the semantic foundations for this way of doing abduction in CHR and Prolog as well as other examples  of hypotheses-based reasoning that is possible, including assumptive logic...

  18. Application of Case Based Reasoning in Strategic Manufacturing Vision Development

    DEFF Research Database (Denmark)

    Wang, Chengbo

    The thesis consists of three journal articles (one published in Journal of Industrial Management and Data Systems, nine pages, and two accepted for publication in International Journal of Learning and Intellectual Capital, and Journal of Production Planning & Control, 10 and 22 pages respectively...

  19. Weighted Fuzzy Interpolative Reasoning Based on the Slopes of Fuzzy Sets and Particle Swarm Optimization Techniques.

    Science.gov (United States)

    Chen, Shyi-Ming; Hsin, Wen-Chyuan

    2015-07-01

    In this paper, we propose a new weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on the slopes of fuzzy sets. We also propose a particle swarm optimization (PSO)-based weights-learning algorithm to automatically learn the optimal weights of the antecedent variables of fuzzy rules for weighted fuzzy interpolative reasoning. We apply the proposed weighted fuzzy interpolative reasoning method using the proposed PSO-based weights-learning algorithm to deal with the computer activity prediction problem, the multivariate regression problems, and the time series prediction problems. The experimental results show that the proposed weighted fuzzy interpolative reasoning method using the proposed PSO-based weights-learning algorithm outperforms the existing methods for dealing with the computer activity prediction problem, the multivariate regression problems, and the time series prediction problems.

  20. Prop erties and Data-driven Design of Perceptual Reasoning Metho d Based Linguistic Dynamic Systems

    Institute of Scientific and Technical Information of China (English)

    LI Cheng-Dong; ZHANG Gui-Qing; WANG Hui-Dong; REN Wei-Na

    2014-01-01

    The linguistic dynamic systems (LDSs) based on type-1 fuzzy sets can provide a powerful tool for modeling, analysis, evaluation and control of complex systems. However, as pointed out in earlier studies, it is much more reasonable to take type-2 fuzzy sets to model the existing uncertainties of linguistic words. In this paper, the LDS based on type-2 fuzzy sets is studied, and its reasoning process is realized through the perceptual reasoning method. The properties of the perceptual reasoning method based LDS (PR-LDS) are explored. These properties demonstrated that the output of PR-LDS is intuitive and the computation complexity can be reduced when the consequent type-2 fuzzy numbers in the rule base satisfy some conditions. Further, a data driven method for the design of the PR-LDS is provided. At last, the effectiveness and rationality of the proposed data-driven method are verified by an example.

  1. Properties of inductive reasoning.

    Science.gov (United States)

    Heit, E

    2000-12-01

    This paper reviews the main psychological phenomena of inductive reasoning, covering 25 years of experimental and model-based research, in particular addressing four questions. First, what makes a case or event generalizable to other cases? Second, what makes a set of cases generalizable? Third, what makes a property or predicate projectable? Fourth, how do psychological models of induction address these results? The key results in inductive reasoning are outlined, and several recent models, including a new Bayesian account, are evaluated with respect to these results. In addition, future directions for experimental and model-based work are proposed.

  2. Mathematical algorithms for approximate reasoning

    Science.gov (United States)

    Murphy, John H.; Chay, Seung C.; Downs, Mary M.

    1988-01-01

    Most state of the art expert system environments contain a single and often ad hoc strategy for approximate reasoning. Some environments provide facilities to program the approximate reasoning algorithms. However, the next generation of expert systems should have an environment which contain a choice of several mathematical algorithms for approximate reasoning. To meet the need for validatable and verifiable coding, the expert system environment must no longer depend upon ad hoc reasoning techniques but instead must include mathematically rigorous techniques for approximate reasoning. Popular approximate reasoning techniques are reviewed, including: certainty factors, belief measures, Bayesian probabilities, fuzzy logic, and Shafer-Dempster techniques for reasoning. A group of mathematically rigorous algorithms for approximate reasoning are focused on that could form the basis of a next generation expert system environment. These algorithms are based upon the axioms of set theory and probability theory. To separate these algorithms for approximate reasoning various conditions of mutual exclusivity and independence are imposed upon the assertions. Approximate reasoning algorithms presented include: reasoning with statistically independent assertions, reasoning with mutually exclusive assertions, reasoning with assertions that exhibit minimum overlay within the state space, reasoning with assertions that exhibit maximum overlay within the state space (i.e. fuzzy logic), pessimistic reasoning (i.e. worst case analysis), optimistic reasoning (i.e. best case analysis), and reasoning with assertions with absolutely no knowledge of the possible dependency among the assertions. A robust environment for expert system construction should include the two modes of inference: modus ponens and modus tollens. Modus ponens inference is based upon reasoning towards the conclusion in a statement of logical implication, whereas modus tollens inference is based upon reasoning away

  3. Neural correlates of post-conventional moral reasoning: a voxel-based morphometry study.

    Science.gov (United States)

    Prehn, Kristin; Korczykowski, Marc; Rao, Hengyi; Fang, Zhuo; Detre, John A; Robertson, Diana C

    2015-01-01

    Going back to Kohlberg, moral development research affirms that people progress through different stages of moral reasoning as cognitive abilities mature. Individuals at a lower level of moral reasoning judge moral issues mainly based on self-interest (personal interests schema) or based on adherence to laws and rules (maintaining norms schema), whereas individuals at the post-conventional level judge moral issues based on deeper principles and shared ideals. However, the extent to which moral development is reflected in structural brain architecture remains unknown. To investigate this question, we used voxel-based morphometry and examined the brain structure in a sample of 67 Master of Business Administration (MBA) students. Subjects completed the Defining Issues Test (DIT-2) which measures moral development in terms of cognitive schema preference. Results demonstrate that subjects at the post-conventional level of moral reasoning were characterized by increased gray matter volume in the ventromedial prefrontal cortex and subgenual anterior cingulate cortex, compared with subjects at a lower level of moral reasoning. Our findings support an important role for both cognitive and emotional processes in moral reasoning and provide first evidence for individual differences in brain structure according to the stages of moral reasoning first proposed by Kohlberg decades ago.

  4. Neural correlates of post-conventional moral reasoning: a voxel-based morphometry study.

    Directory of Open Access Journals (Sweden)

    Kristin Prehn

    Full Text Available Going back to Kohlberg, moral development research affirms that people progress through different stages of moral reasoning as cognitive abilities mature. Individuals at a lower level of moral reasoning judge moral issues mainly based on self-interest (personal interests schema or based on adherence to laws and rules (maintaining norms schema, whereas individuals at the post-conventional level judge moral issues based on deeper principles and shared ideals. However, the extent to which moral development is reflected in structural brain architecture remains unknown. To investigate this question, we used voxel-based morphometry and examined the brain structure in a sample of 67 Master of Business Administration (MBA students. Subjects completed the Defining Issues Test (DIT-2 which measures moral development in terms of cognitive schema preference. Results demonstrate that subjects at the post-conventional level of moral reasoning were characterized by increased gray matter volume in the ventromedial prefrontal cortex and subgenual anterior cingulate cortex, compared with subjects at a lower level of moral reasoning. Our findings support an important role for both cognitive and emotional processes in moral reasoning and provide first evidence for individual differences in brain structure according to the stages of moral reasoning first proposed by Kohlberg decades ago.

  5. Preferred question types for computer-based assessment of clinical reasoning: a literature study.

    Science.gov (United States)

    van Bruggen, Lisette; Manrique-van Woudenbergh, Margreet; Spierenburg, Emely; Vos, Jacqueline

    2012-11-01

    Clinical reasoning is a core competence of doctors. Therefore, the assessment of clinical reasoning of undergraduate students is an important part of medical education. Three medical universities in the Netherlands wish to develop a shared question database in order to assess clinical reasoning of undergraduate students in Computer-Based Assessments (CBA). To determine suitable question types for this purpose a literature study was carried out. Search of ERIC and PubMed and subsequent cross referencing yielded 30 articles which met the inclusion criteria of a focus on question types suitable to assess clinical reasoning of medical students and providing recommendations for their use. Script Concordance Tests, Extended Matching Questions, Comprehensive Integrative Puzzles, Modified Essay Questions/Short Answer Questions, Long Menu Questions, Multiple Choice Questions, Multiple True/False Questions and Virtual Patients meet the above-mentioned criteria, but for different reasons not all types can be used easily in CBA. A combination of Comprehensive Integrative Puzzles and Extended Matching Questions seems to assess most aspects of clinical reasoning and these question types can be adapted for use in CBA. Regardless of the question type chosen, patient vignettes should be used as a standard stimulus format to assess clinical reasoning. Further research is necessary to ensure that the combination of these question types produces valid assessments and reliable test results.

  6. Parental reasoning about growth attenuation therapy: report of a single-case study.

    Science.gov (United States)

    Kerruish, Nicola; McMillan, John R

    2015-09-01

    In 2006 a case report was published about a 6-year-old girl, Ashley, who has profound developmental disabilities and was treated with oestrogen patches to limit her final height, along with a hysterectomy and the removal of her breast buds. Ashley's parents claimed that attenuating her growth would make it possible for them to lift and move her more easily, facilitating greater involvement in family activities and making routine care more straightforward. The 'Ashley treatment' provoked public comment and academic debate and remains ethically controversial. As more children are being referred for such treatment, there is an urgent need to clarify how clinicians and ethics committees should respond to such requests. The controversy surrounding the Ashley treatment exists, at least in part, because of gaps in the literature, including a lack of empirical data about the outcomes for children who do and do not receive such treatment. However, we suggest in this paper that there is also merit in examining the parental decision-making process itself, and provide empirical data about the reasoning of one set of parents who ultimately chose part of this treatment for their child. Using the interview data, we illuminate some important points regarding how these parents characterise benefits and harms and their responsibilities as surrogate decision-makers. This analysis could inform decision-making about future requests for growth attenuation and might also have wider relevance to healthcare decision-making for children with profound cognitive impairment.

  7. Global polar geospatial information service retrieval based on search engine and ontology reasoning

    Science.gov (United States)

    Chen, Nengcheng; E, Dongcheng; Di, Liping; Gong, Jianya; Chen, Zeqiang

    2007-01-01

    In order to improve the access precision of polar geospatial information service on web, a new methodology for retrieving global spatial information services based on geospatial service search and ontology reasoning is proposed, the geospatial service search is implemented to find the coarse service from web, the ontology reasoning is designed to find the refined service from the coarse service. The proposed framework includes standardized distributed geospatial web services, a geospatial service search engine, an extended UDDI registry, and a multi-protocol geospatial information service client. Some key technologies addressed include service discovery based on search engine and service ontology modeling and reasoning in the Antarctic geospatial context. Finally, an Antarctica multi protocol OWS portal prototype based on the proposed methodology is introduced.

  8. Case-based Influence in Conflict Management

    Science.gov (United States)

    2014-10-31

    published in a book of essays on cyber analogies that he commissioned (Axelrod, 2014). The third phase of the project developed a mathematical ...phase analyzed how historical analogies are used to make sense of novel events, comparing historical analogies invoked in three events in newspapers...from five countries. Case-based reasoning was found to be very common, with almost one historical analogy per article (963/1061). The second phase

  9. 大学生挂科归因新偏差的成因评议与对策思考——基于某校高职生S的调查个案%Study on Reasons and Measures for Exam Attributional Bias --Based on the Case Study of Vocational College Student S

    Institute of Scientific and Technical Information of China (English)

    李佳源

    2012-01-01

    Currently, the attributional bias about test failure is very common on campus. The student S shows dangerous attribution bias. He simply owns his failure to tether's will. Such a bias has never been discussed in any openly published articles. Therefore case study is significantly urgent. This article discusses the reasons from individual, school to society perspectives. It is believed that the main reasons are campus exam credibility crisis induced by social negative influence, college exam policy and student' s moral decline and vocational students special learning concept. In the end, this article puts forward some measures based on the case study.%目前,大学生挂科后的归因偏差普遍存在,并且逐渐将一种新的、危险的归因偏差由"潜"转为"显",即将考试的失败统统归结为教师的意愿,这在高职生中表现尤为突出。这种归因偏差不同于以往文献中公开讨论的任何大学生挂科归因偏差,而已有文献中提出的对策也是侧重于正确的归因训练,但对待如此简单极端的新归因偏差,其背后成因的深度思考更具现实预警意义。研究基于学生S的个案从微观个体层面、中观学校层面、宏观社会层面探讨影响S归因偏差的三维因素,认为社会不良风气引发校园考试诚信危机,学校考试机制弊端以及学生的考试道德滑坡和高职生特殊的学习心理是主要因素。并在对个案深层根源探究的基础上提出减少大学生挂科归因偏差的相应对策。

  10. Designing reasonable accommodation of the workplace: a new methodology based on risk assessment.

    Science.gov (United States)

    Pigini, L; Andrich, R; Liverani, G; Bucciarelli, P; Occhipinti, E

    2010-05-01

    If working tasks are carried out in inadequate conditions, workers with functional limitations may, over time, risk developing further disabilities. While several validated risk assessment methods exist for able-bodied workers, few studies have been carried out for workers with disabilities. This article, which reports the findings of a Study funded by the Italian Ministry of Labour, proposes a general methodology for the technical and organisational re-design of a worksite, based on risk assessment and irrespective of any worker disability. To this end, a sample of 16 disabled workers, composed of people with either mild or severe motor disabilities, was recruited. Their jobs include business administration (5), computer programmer (1), housewife (1), mechanical worker (2), textile worker (1), bus driver (1), nurse (2), electrical worker (1), teacher (1), warehouseman (1). By using a mix of risk assessment methods and the International Classification of Functioning (ICF) taxonomy, their worksites were re-designed in view of a reasonable accommodation, and prospective evaluation was carried out to check whether the new design would eliminate the risks. In one case - a man with congenital malformations who works as a help-desk operator for technical assistance in the Information and Communication Technology (ICT) department of a big organisation - the accommodation was actually carried out within the time span of the study, thus making it possible to confirm the hypotheses raised in the prospective assessment.

  11. Scientific reasoning abilities of nonscience majors in physics-based courses

    Science.gov (United States)

    Moore, J. Christopher; Rubbo, Louis J.

    2012-06-01

    We have found that non-STEM (science, technology, engineering, and mathematics) majors taking either a conceptual physics or astronomy course at two regional comprehensive institutions score significantly lower preinstruction on the Lawson’s Classroom Test of Scientific Reasoning (LCTSR) in comparison to national average STEM majors. Based on LCTSR score, the majority of non-STEM students can be classified as either concrete operational or transitional reasoners in Piaget’s theory of cognitive development, whereas in the STEM population formal operational reasoners are far more prevalent. In particular, non-STEM students demonstrate significant difficulty with proportional and hypothetico-deductive reasoning. Prescores on the LCTSR are correlated with normalized learning gains on various concept inventories. The correlation is strongest for content that can be categorized as mostly theoretical, meaning a lack of directly observable exemplars, and weakest for content categorized as mostly descriptive, where directly observable exemplars are abundant. Although the implementation of research-verified, interactive engagement pedagogy can lead to gains in content knowledge, significant gains in theoretical content (such as force and energy) are more difficult with non-STEM students. We also observe no significant gains on the LCTSR without explicit instruction in scientific reasoning patterns. These results further demonstrate that differences in student populations are important when comparing normalized gains on concept inventories, and the achievement of significant gains in scientific reasoning requires a reevaluation of the traditional approach to physics for non-STEM students.

  12. Scientific reasoning abilities of nonscience majors in physics-based courses

    Directory of Open Access Journals (Sweden)

    J. Christopher Moore*

    2012-02-01

    Full Text Available We have found that non-STEM (science, technology, engineering, and mathematics majors taking either a conceptual physics or astronomy course at two regional comprehensive institutions score significantly lower preinstruction on the Lawson’s Classroom Test of Scientific Reasoning (LCTSR in comparison to national average STEM majors. Based on LCTSR score, the majority of non-STEM students can be classified as either concrete operational or transitional reasoners in Piaget’s theory of cognitive development, whereas in the STEM population formal operational reasoners are far more prevalent. In particular, non-STEM students demonstrate significant difficulty with proportional and hypothetico-deductive reasoning. Prescores on the LCTSR are correlated with normalized learning gains on various concept inventories. The correlation is strongest for content that can be categorized as mostly theoretical, meaning a lack of directly observable exemplars, and weakest for content categorized as mostly descriptive, where directly observable exemplars are abundant. Although the implementation of research-verified, interactive engagement pedagogy can lead to gains in content knowledge, significant gains in theoretical content (such as force and energy are more difficult with non-STEM students. We also observe no significant gains on the LCTSR without explicit instruction in scientific reasoning patterns. These results further demonstrate that differences in student populations are important when comparing normalized gains on concept inventories, and the achievement of significant gains in scientific reasoning requires a reevaluation of the traditional approach to physics for non-STEM students.

  13. INTERNET BANKING ACCEPTANCE IN MALAYSIA BASED ON THE THEORY OF REASONED ACTION

    Directory of Open Access Journals (Sweden)

    J Michael Pearson

    2008-09-01

    Full Text Available ABSTRACT The theory of reasoned action originally introduced in the field of Social Psychology has been widely used to explain individuals’ behaviour. The theory postulates that individuals’ behaviour is influenced by their attitude and subjective norm. The purpose of this study was to determine factors that influence an individual’s intention to use a technology based on the theory of reasoned action. We used Internet banking as the target technology and Malaysian subjects as the sampling frame. A principal component analysis was used to validate the constructs and multiple regressions were used to analyze the data. As expected, the results supported the theory’s proposition as that an individuals’ behavioural intention to use Internet banking is influenced by their attitude and subjective norm. Based on the findings, theoretical and practical implications were offered. Keywords: theory of reasoned action, Internet banking, technology acceptance

  14. Facilitating progress in health behaviour theory development and modification: the reasoned action approach as a case study.

    Science.gov (United States)

    Head, Katharine J; Noar, Seth M

    2014-01-01

    This paper explores the question: what are barriers to health behaviour theory development and modification, and what potential solutions can be proposed? Using the reasoned action approach (RAA) as a case study, four areas of theory development were examined: (1) the theoretical domain of a theory; (2) tension between generalisability and utility, (3) criteria for adding/removing variables in a theory, and (4) organisational tracking of theoretical developments and formal changes to theory. Based on a discussion of these four issues, recommendations for theory development are presented, including: (1) the theoretical domain for theories such as RAA should be clarified; (2) when there is tension between generalisability and utility, utility should be given preference given the applied nature of the health behaviour field; (3) variables should be formally removed/amended/added to a theory based on their performance across multiple studies and (4) organisations and researchers with a stake in particular health areas may be best suited for tracking the literature on behaviour-specific theories and making refinements to theory, based on a consensus approach. Overall, enhancing research in this area can provide important insights for more accurately understanding health behaviours and thus producing work that leads to more effective health behaviour change interventions.

  15. A Non-Ideal Vision Therapy Case that Provokes Thought About the Reasons Behind Patient Refusal of Treatment

    Directory of Open Access Journals (Sweden)

    Sarah Kuipers, BA, BS

    2015-09-01

    Full Text Available Background: Saccadic eye movements and visual information processing play an important role in reading success. Vision therapy can be a successful tool in the treatment of these conditions, but there is a variety of reasons why patients chose not to continue with this recommended treatment. Case Report: A nine-year-old male presented due to poor language arts performance on the ISTEP standardized test. He was diagnosed with saccadic dysfunction and reduced figure-ground, which made reading on the computer difficult. The patient was given educational accommodations based on the findings. Vision therapy was recommended, but his mother declined the treatment. Conclusion: This non-ideal case outlines the testing and assessment for oculomotor dysfunction and visual information processing and draws attention to issues surrounding vision therapy that may contribute to increased patient drop-out. By providing flexible office hours, increasing insurance coverage, and working with other eye care professionals to change the professional opinion regarding vision therapy, optometrists can increase the capture rate of patients in need of vision therapy services.

  16. Writing Anxiety: A Case Study on Students’ Reasons for Anxiety in Writing

    OpenAIRE

    2013-01-01

    The purpose of the present study was twofold. First, the present study set out to investigate the learners‟ attitudes towards academic writing courses that they have to take as part of their curriculum, whether they experience second language writing anxiety and what reasons they report for their anxiety and failure in academic writing courses. Second, the study aimed to develop a selfreport measure of second language writing anxiety reasons

  17. Model-Based Reasoning in the Physics Laboratory: Framework and Initial Results

    Science.gov (United States)

    Zwickl, Benjamin M.; Hu, Dehui; Finkelstein, Noah; Lewandowski, H. J.

    2015-01-01

    We review and extend existing frameworks on modeling to develop a new framework that describes model-based reasoning in introductory and upper-division physics laboratories. Constructing and using models are core scientific practices that have gained significant attention within K-12 and higher education. Although modeling is a broadly applicable…

  18. The Effect of Origami-Based Instruction on Spatial Visualization, Geometry Achievement, and Geometric Reasoning

    Science.gov (United States)

    Arici, Sevil; Aslan-Tutak, Fatma

    2015-01-01

    This research study examined the effect of origami-based geometry instruction on spatial visualization, geometry achievement, and geometric reasoning of tenth-grade students in Turkey. The sample ("n" = 184) was chosen from a tenth-grade population of a public high school in Turkey. It was a quasi-experimental pretest/posttest design. A…

  19. The Knowledge-Based Reasoning of Physical Education Teachers: A Comparison between Groups with Different Expertise

    Science.gov (United States)

    Reuker, Sabine

    2017-01-01

    The study addresses professional vision, including the abilities of selective attention and knowledge-based reasoning. This article focuses on the latter ability. Groups with different sport-specific and pedagogical expertise (n = 60) were compared according to their observation and interpretation of sport activities in a four-field design. The…

  20. Conveying clinical reasoning based on visual observation via eye-movement modelling examples

    NARCIS (Netherlands)

    Jarodzka, Halszka; Balslev, Thomas; Holmqvist, Kenneth; Nyström, Marcus; Scheiter, Katharina; Gerjets, Peter; Eika, Berit

    2012-01-01

    Jarodzka, H., Balslev, T., Holmqvist, K., Nyström, M., Scheiter, K., Gerjets, P., & Eika, B. (2012). Conveying clinical reasoning based on visual observation via eye-movement modelling examples. Instructional Science, 40(5), 813-827. doi:10.1007/s11251-012-9218-5

  1. Measuring knowledge and clinical reasoning skills in a problem-based curriculum

    NARCIS (Netherlands)

    H.P.A. Boshuizen (Henny); C. van der Vleuten; H.G. Schmidt (Henk); M. Machiels-Bongaerts

    1997-01-01

    textabstractThe purpose of this study was to investigate the validity of the Progress Test that was specially designed for measuring the growth of knowledge and clinical reasoning skills in a problem-based medical curriculum. Scores and subscores of students from the different categories of the Prog

  2. Reasons for Silence: A Case Study of Two Korean Students at a U.S. Graduate School

    Science.gov (United States)

    Choi, Jung Yun

    2015-01-01

    This article explores the perception and reasons for Korean students' silence and low levels of oral participation in U.S. graduate programs. It analyzes a case study conducted with two Korean students currently attending graduate school in urban settings. The researcher conducted semi-structured interviews with the participants, using a constant…

  3. Children's Reasons for Joining Sport Clubs and Staying in Them: A Case Study of a Sydney Soccer Club

    Science.gov (United States)

    Light, Richard; Curry, Christina

    2009-01-01

    Research on youth sport within the sport coaching and physical education literature has tended to overlook the nature of experience and the meanings that sport holds in the lives of children and young people. This paper makes a contribution toward redressing this imbalance by reporting on a close-focus case study on children's reasons for joining…

  4. Community-Based Reasoning in Games: Salience, Rule-Following, and Counterfactuals

    Directory of Open Access Journals (Sweden)

    Cyril Hédoin

    2016-11-01

    Full Text Available This paper develops a game-theoretic and epistemic account of a peculiar mode of practical reasoning that sustains focal points but also more general forms of rule-following behavior which I call community-based reasoning (CBR. It emphasizes the importance of counterfactuals in strategic interactions. In particular, the existence of rules does not reduce to observable behavioral patterns but also encompasses a range of counterfactual beliefs and behaviors. This feature was already at the core of Wittgenstein’s philosophical account of rule-following. On this basis, I consider the possibility that CBR may provide a rational basis for cooperation in the prisoner’s dilemma.

  5. Towards Cache-Enabled, Order-Aware, Ontology-Based Stream Reasoning Framework

    Energy Technology Data Exchange (ETDEWEB)

    Yan, Rui; Praggastis, Brenda L.; Smith, William P.; McGuinness, Deborah L.

    2016-08-16

    While streaming data have become increasingly more popular in business and research communities, semantic models and processing software for streaming data have not kept pace. Traditional semantic solutions have not addressed transient data streams. Semantic web languages (e.g., RDF, OWL) have typically addressed static data settings and linked data approaches have predominantly addressed static or growing data repositories. Streaming data settings have some fundamental differences; in particular, data are consumed on the fly and data may expire. Stream reasoning, a combination of stream processing and semantic reasoning, has emerged with the vision of providing "smart" processing of streaming data. C-SPARQL is a prominent stream reasoning system that handles semantic (RDF) data streams. Many stream reasoning systems including C-SPARQL use a sliding window and use data arrival time to evict data. For data streams that include expiration times, a simple arrival time scheme is inadequate if the window size does not match the expiration period. In this paper, we propose a cache-enabled, order-aware, ontology-based stream reasoning framework. This framework consumes RDF streams with expiration timestamps assigned by the streaming source. Our framework utilizes both arrival and expiration timestamps in its cache eviction policies. In addition, we introduce the notion of "semantic importance" which aims to address the relevance of data to the expected reasoning, thus enabling the eviction algorithms to be more context- and reasoning-aware when choosing what data to maintain for question answering. We evaluate this framework by implementing three different prototypes and utilizing five metrics. The trade-offs of deploying the proposed framework are also discussed.

  6. Inference and Plausible Reasoning in a Natural Language Understanding System Based on Object-Oriented Semantics

    CERN Document Server

    Ostapov, Yuriy

    2012-01-01

    Algorithms of inference in a computer system oriented to input and semantic processing of text information are presented. Such inference is necessary for logical questions when the direct comparison of objects from a question and database can not give a result. The following classes of problems are considered: a check of hypotheses for persons and non-typical actions, the determination of persons and circumstances for non-typical actions, planning actions, the determination of event cause and state of persons. To form an answer both deduction and plausible reasoning are used. As a knowledge domain under consideration is social behavior of persons, plausible reasoning is based on laws of social psychology. Proposed algorithms of inference and plausible reasoning can be realized in computer systems closely connected with text processing (criminology, operation of business, medicine, document systems).

  7. Team-based learning, a learning strategy for clinical reasoning, in students with problem-based learning tutorial experiences.

    Science.gov (United States)

    Okubo, Yumiko; Ishiguro, Naoko; Suganuma, Taiyo; Nishikawa, Toshio; Takubo, Toshio; Kojimahara, Noriko; Yago, Rie; Nunoda, Shinichi; Sugihara, Shigetaka; Yoshioka, Toshimasa

    2012-01-01

    Acquiring clinical reasoning skills in lectures may be difficult, but it can be learnt through problem-solving in the context of clinical practice. Problem finding and solving are skills required for clinical reasoning; however, students who underwent problem-based learning (PBL) still have difficulty in acquiring clinical reasoning skills. We hypothesized that team-based learning (TBL), a learning strategy that provides the opportunity to solve problems by repeatedly taking tests, can enhance the clinical reasoning ability in medical students with PBL experiences during the pre-clinical years. TBL courses were designed for 4(th) year students in a 6-year program in 2008, 2009, and 2010. TBL individual scores, consisting of a combination of individual and group tests, were compared with scores of several examinations including computer-based testing (CBT), an original examination assessing clinical reasoning ability (problem-solving ability test; P-SAT), term examinations, and Objective Structured Clinical Examination (OSCE). CBT, OSCE and P-SAT scores were compared with those of students who learned clinical reasoning only through PBL tutorials in 2005, 2006, and 2007 (non-TBL students). Individual TBL scores of students did not correlate with scores of any other examination. Assessments on clinical reasoning ability, such as CBT, OSCE, and P-SAT scores, were significantly higher in TBL students compared with non-TBL students. Students found TBL to be effective, particularly in areas of problem solving by both individuals and teams, and feedback from specialists. In conclusion, TBL for clinical reasoning is useful in improving clinical reasoning ability in students with PBL experiences with limited clinical exposure.

  8. Agent based reasoning for the non-linear stochastic models of long-range memory

    Science.gov (United States)

    Kononovicius, A.; Gontis, V.

    2012-02-01

    We extend Kirman's model by introducing variable event time scale. The proposed flexible time scale is equivalent to the variable trading activity observed in financial markets. Stochastic version of the extended Kirman's agent based model is compared to the non-linear stochastic models of long-range memory in financial markets. The agent based model providing matching macroscopic description serves as a microscopic reasoning of the earlier proposed stochastic model exhibiting power law statistics.

  9. Aspects affecting occupational therapists' reasoning when implementing research-based evidence in stroke rehabilitation

    DEFF Research Database (Denmark)

    Hounsgaard, Lise; Kristensen, H. K.; Borg, T.

    2012-01-01

    within stroke rehabilitation. METHODS: The study was based on a phenomenological hermeneutical and an action research approach in collaboration with three occupational therapy settings including 25 occupational therapists. Data collection consisted of 41 field observations, 14 individual interviews......BACKGROUND: When implementing evidence-based practice in occupational therapy the investigation of clinical reasoning provides important information on research utilization. AIM: This study investigates aspects affecting occupational therapists' reasoning when implementing research-based evidence......, and six focus-group interviews. RESULTS: New knowledge concerning the substantial influence of professional values in the occupational therapists' local cultures was indicated. It was of importance that the therapists as a group are given the opportunity to explicit and critically appraise values...

  10. Aspects affecting occupational therapists' reasoning when implementing research-based evidence in stroke rehabilitation

    DEFF Research Database (Denmark)

    Kristensen, Hanne Kaae; Borg, T.; Hounsgaard, L.

    2012-01-01

    within stroke rehabilitation. Methods: The study was based on a phenomenological hermeneutical and an action research approach in collaboration with three occupational therapy settings including 25 occupational therapists. Data collection consisted of 41 field observations, 14 individual interviews......Background: When implementing evidence-based practice in occupational therapy the investigation of clinical reasoning provides important information on research utilization. Aim: This study investigates aspects affecting occupational therapists’ reasoning when implementing research-based evidence......, and six focus-group interviews. Results: New knowledge concerning the substantial influence of professional values in the occupational therapists’ local cultures was indicated. It was of importance that the therapists as a group are given the opportunity to explicit and critically appraise values...

  11. Danish Majority Children's Reasoning About Exclusion Based on Gender and Ethnicity

    DEFF Research Database (Denmark)

    Møller, Signe Juhl; Tenenbaum, H.R.

    2011-01-01

    with the perpetrator of the exclusion and the social identity of the target. Children assessed exclusion based on ethnicity as less acceptable than exclusion based on gender and used more moral reasoning for the former than the latter. Children judged it less acceptable for a teacher than a child to exclude a child......This study investigated 282 eight- to twelve-year-old Danish majority children's judgments and justifications of exclusion based on gender and ethnicity (i.e., Danish majority children and ethnic-minority children of a Muslim background). Children's judgments and reasoning varied...... protagonist. Children were sensitive to status, judging it less acceptable to exclude a less powerful group member. The findings are discussed in relation to intergroup relations in Denmark....

  12. A situated reasoning architecture for space-based repair and replace tasks

    Science.gov (United States)

    Bloom, Ben; Mcgrath, Debra; Sanborn, Jim

    1989-01-01

    Space-based robots need low level control for collision detection and avoidance, short-term load management, fine-grained motion, and other physical tasks. In addition, higher level control is required to focus strategic decision making as missions are assigned and carried out. Reasoning and control must be responsive to ongoing changes in the environment. Research aimed at bridging the gap between high level artificial intelligence (AI) planning techniques and task-level robot programming for telerobotic systems is described. Situated reasoning is incorporated into AI and Robotics systems in order to coordinate a robot's activity within its environment. An integrated system under development in a component maintenance domain is described. It is geared towards replacing worn and/or failed Orbital Replacement Units (ORUs) designed for use aboard NASA's Space Station Freedom based on the collection of components available at a given time. High level control reasons in component space in order to maximize the number operational component-cells over time, while the task-level controls sensors and effectors, detects collisions, and carries out pick and place tasks in physical space. Situated reasoning is used throughout the system to cope with component failures, imperfect information, and unexpected events.

  13. 刑事判决说理机制实证研究--基于最高院六个指导案例的视角%An Empirical Study of Criminal Judgment Reasoning Mechanism- Based on Six Guiding Cases from the Supreme People′s Court

    Institute of Scientific and Technical Information of China (English)

    洪凌啸

    2014-01-01

    Criminal judgment reasoning mechanism is a key step in the criminal trial,as it not only concerns the defendant′s right to know,but also is an embodiment of the open and fair operation of criminal law in a country.However,in the existing re-search about criminal judgment reasoning mechanism,there are few empirical studies.In view of this situation,the paper selects six published guiding cases of the Supreme People′s Court and makes a statistical analysis of the reasoning words in their decision making part.It is found that the degree of judgment reasoning is related to the complexity of the cases and the degree of the con-frontation,but not the degree of severity of the crime and the level of the trial.%刑事判决说理机制是刑事诉讼尤其是刑事审判中的关键一环,它不仅关系到被告人的知情权,更是一国刑事法治运作公开公正的体现。但是,在现有关于刑事判决说理机制的研究中,缺少以实证方法作为指导的研究。有鉴于此,本文选取了最高人民法院公布的六个指导性案例,通过对判决理由部分字数的统计分析,认为判决说理的程度与案件的复杂性以及控辩双方对抗程度有关,而与犯罪的严重程度、审级的高低无涉。

  14. The Case for a Dual-Process Theory of Transitive Reasoning

    Science.gov (United States)

    Wright, Barlow C.

    2012-01-01

    Ever since its popularisation by Piaget around 60 years ago, transitive reasoning (deductively-inferring A greater than C from premises A greater than B and B greater than C) has been of psychological interest both as a mental phenomenon and as a tool in areas of psychological discourse. However, the focus of interest in it has shifted…

  15. Geometrical Reasoning in Wave Situations: The Case of Light Diffraction and Coherent Illumination Optical Imaging

    Science.gov (United States)

    Maurines, Laurence

    2010-01-01

    This particular study is part of a research programme on the difficulties encountered by students when learning about wave phenomena in a three-dimensional medium in the absence or presence of obstacles. It focuses on how students reason in situations in which wave optics need to be used: diffraction of light by an aperture, imaging in the…

  16. An Evidential Reasoning-Based CREAM to Human Reliability Analysis in Maritime Accident Process.

    Science.gov (United States)

    Wu, Bing; Yan, Xinping; Wang, Yang; Soares, C Guedes

    2017-01-09

    This article proposes a modified cognitive reliability and error analysis method (CREAM) for estimating the human error probability in the maritime accident process on the basis of an evidential reasoning approach. This modified CREAM is developed to precisely quantify the linguistic variables of the common performance conditions and to overcome the problem of ignoring the uncertainty caused by incomplete information in the existing CREAM models. Moreover, this article views maritime accident development from the sequential perspective, where a scenario- and barrier-based framework is proposed to describe the maritime accident process. This evidential reasoning-based CREAM approach together with the proposed accident development framework are applied to human reliability analysis of a ship capsizing accident. It will facilitate subjective human reliability analysis in different engineering systems where uncertainty exists in practice.

  17. Student use of model-based reasoning when troubleshooting an electronic circuit

    Science.gov (United States)

    Lewandowski, Heather; Stetzer, Mackenzie; van de Bogart, Kevin; Dounas-Frazer, Dimitri

    2016-03-01

    Troubleshooting systems is an integral part of experimental physics in both research and educational settings. Accordingly, ability to troubleshoot is an important learning goal for undergraduate physics lab courses. We investigate students' model-based reasoning on a troubleshooting task using data collected in think-aloud interviews during which pairs of students from two institutions attempted to diagnose and repair a malfunctioning circuit. Our analysis scheme was informed by the Experimental Modeling Framework, which describes physicists' use of mathematical and conceptual models when reasoning about experimental systems. We show that system and subsystem models were crucial for the evaluation of repairs to the circuit and played an important role in some troubleshooting strategies. Finally, drawing on data from interviews with electronics instructors from a broad range of institution types, we outline recommendations for model-based approaches to teaching and learning troubleshooting skills.

  18. Student use of model-based reasoning when troubleshooting an electric circuit

    Science.gov (United States)

    Dounas-Frazer, Dimitri

    2016-05-01

    Troubleshooting systems is an integral part of experimental physics in both research and educational settings. Accordingly, ability to troubleshoot is an important learning goal for undergraduate physics lab courses. We investigate students' model-based reasoning on a troubleshooting task using data collected in think-aloud interviews during which pairs of students from two institutions attempted to diagnose and repair a malfunctioning circuit. Our analysis scheme was informed by the Experimental Modeling Framework, which describes physicists' use of mathematical and conceptual models when reasoning about experimental systems. We show that system and subsystem models were crucial for the evaluation of repairs to the circuit and played an important role in some troubleshooting strategies. Finally, drawing on data from interviews with electronics instructors from a broad range of institution types, we outline recommendations for model-based approaches to teaching and learning troubleshooting skills.

  19. Model-Based Reasoning in the Upper-Division Physics Laboratory: Framework and Initial Results

    CERN Document Server

    Zwickl, Benjamin M; Finkelstein, Noah; Lewandowski, H J

    2014-01-01

    Constructing and using models are core scientific practices that have gained significant attention within K-12 and higher education. Although modeling is a broadly applicable process, within physics education, it has been preferentially applied to the iterative development of broadly applicable principles (e.g., Newton's laws of motion in introductory mechanics). We review and extend existing frameworks on modeling to develop a new framework that more naturally describes model-based reasoning in upper-division physics labs. A significant feature of the new framework is that measurement tools (in addition to the physical system being studied) are subjected to the process of modeling. Think-aloud interviews were used to document examples of model-based reasoning in the laboratory and refine the modeling framework. The interviews showed how students productively applied similar facets of modeling to the physical system and measurement tools: construction, prediction, interpretation of data, identification of mod...

  20. Model-based interpretation of the ECG: a methodology for temporal and spatial reasoning.

    OpenAIRE

    Tong, D. A.; Widman, L. E.

    1992-01-01

    A new software architecture for automatic interpretation of the electrocardiogram is presented. Using the hypothesize-and-test paradigm, a semi-quantitative physiological model and production rule-based knowledge are combined to reason about time- and space-varying characteristics of complex heart rhythms. A prototype system implementing the methodology accepts a semi-quantitative description of the onset and morphology of the P waves and QRS complexes that are observed in the body-surface el...

  1. Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based on Fuzzy State Description

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    A new framework of knowledge representation of fuzzy language field and fuzzy language value structure is shown. Then the generalized cell automation that can synthetically process fuzzy indeterminacy and random indeterminacy and generalized inductive logic causal model are put forward. On this basis, the new logic indeterminacy causal inductive automatic reasoning mechanism which is based on fuzzy state description is presented. At the end of this paper its application in the development of intelligent controller is discussed.

  2. Ontology-Based Representation and Reasoning in Building Construction Cost Estimation in China

    OpenAIRE

    Xin Liu; Zhongfu Li; Shaohua Jiang

    2016-01-01

    Cost estimation is one of the most critical tasks for building construction project management. The existing building construction cost estimation methods of many countries, including China, require information from several sources, including material, labor, and equipment, and tend to be manual, time-consuming, and error-prone. To solve these problems, a building construction cost estimation model based on ontology representation and reasoning is established, which includes three major compo...

  3. Robotics Vision-based Heuristic Reasoning for Underwater Target Tracking and Navigation

    OpenAIRE

    Chua Kia; Mohd. Rizal Arshad

    2005-01-01

    This paper presents a robotics vision-based heuristic reasoning system for underwater target tracking and navigation. This system is introduced to improve the level of automation of underwater Remote Operated Vehicles (ROVs) operations. A prototype which combines computer vision with an underwater robotics system is successfully designed and developed to perform target tracking and intelligent navigation. This study focuses on developing image processing algorithms and fuzzy inference system ...

  4. Esophageal cancer prediction based on qualitative features using adaptive fuzzy reasoning method

    Directory of Open Access Journals (Sweden)

    Raed I. Hamed

    2015-04-01

    Full Text Available Esophageal cancer is one of the most common cancers world-wide and also the most common cause of cancer death. In this paper, we present an adaptive fuzzy reasoning algorithm for rule-based systems using fuzzy Petri nets (FPNs, where the fuzzy production rules are represented by FPN. We developed an adaptive fuzzy Petri net (AFPN reasoning algorithm as a prognostic system to predict the outcome for esophageal cancer based on the serum concentrations of C-reactive protein and albumin as a set of input variables. The system can perform fuzzy reasoning automatically to evaluate the degree of truth of the proposition representing the risk degree value with a weight value to be optimally tuned based on the observed data. In addition, the implementation process for esophageal cancer prediction is fuzzily deducted by the AFPN algorithm. Performance of the composite model is evaluated through a set of experiments. Simulations and experimental results demonstrate the effectiveness and performance of the proposed algorithms. A comparison of the predictive performance of AFPN models with other methods and the analysis of the curve showed the same results with an intuitive behavior of AFPN models.

  5. Prediction of Building Floorplans Using Logical and Stochastic Reasoning Based on Sparse Observations

    Science.gov (United States)

    Loch-Dehbi, S.; Dehbi, Y.; Gröger, G.; Plümer, L.

    2016-10-01

    This paper introduces a novel method for the automatic derivation of building floorplans and indoor models. Our approach is based on a logical and stochastic reasoning using sparse observations such as building room areas. No further sensor observations like 3D point clouds are needed. Our method benefits from an extensive prior knowledge of functional dependencies and probability density functions of shape and location parameters of rooms depending on their functional use. The determination of posterior beliefs is performed using Bayesian Networks. Stochastic reasoning is complex since the problem is characterized by a mixture of discrete and continuous parameters that are in turn correlated by non-linear constraints. To cope with this kind of complexity, the proposed reasoner combines statistical methods with constraint propagation. It generates a limited number of hypotheses in a model-based top-down approach. It predicts floorplans based on a-priori localised windows. The use of Gaussian mixture models, constraint solvers and stochastic models helps to cope with the a-priori infinite space of the possible floorplan instantiations.

  6. OGC Geographic Information Service Deductive Semantic Reasoning Based on Description Vocabularies Reduction

    Directory of Open Access Journals (Sweden)

    MIAO Lizhi

    2015-09-01

    Full Text Available As geographic information interoperability and sharing developing, more and more interoperable OGC (open geospatial consortium Web services (OWS are generated and published through the internet. These services can facilitate the integration of different scientific applications by searching, finding, and utilizing the large number of scientific data and Web services. However, these services are widely dispersed and hard to be found and utilized with executive semantic retrieval. This is especially true when considering the weak semantic description of geographic information service data. Focusing on semantic retrieval and reasoning of the distributed OWS resources, a deductive and semantic reasoning method is proposed to describe and search relevant OWS resources. Specifically, ①description words are extracted from OWS metadata file to generate GISe ontology-database and instance-database based on geographic ontology according to basic geographic elements category, ②a description words reduction model is put forward to implement knowledge reduction on GISe instance-database based on rough set theory and generate optimized instances database, ③utilizing GISe ontology-database and optimized instance-database to implement semantic inference and reasoning of geographic searching objects is used as an example to demonstrate the efficiency, feasibility and recall ration of the proposed description-word-based reduction model.

  7. Model-based reasoning in the physics laboratory: Framework and initial results

    Science.gov (United States)

    Zwickl, Benjamin M.; Hu, Dehui; Finkelstein, Noah; Lewandowski, H. J.

    2015-12-01

    [This paper is part of the Focused Collection on Upper Division Physics Courses.] We review and extend existing frameworks on modeling to develop a new framework that describes model-based reasoning in introductory and upper-division physics laboratories. Constructing and using models are core scientific practices that have gained significant attention within K-12 and higher education. Although modeling is a broadly applicable process, within physics education, it has been preferentially applied to the iterative development of broadly applicable principles (e.g., Newton's laws of motion in introductory mechanics). A significant feature of the new framework is that measurement tools (in addition to the physical system being studied) are subjected to the process of modeling. Think-aloud interviews were used to refine the framework and demonstrate its utility by documenting examples of model-based reasoning in the laboratory. When applied to the think-aloud interviews, the framework captures and differentiates students' model-based reasoning and helps identify areas of future research. The interviews showed how students productively applied similar facets of modeling to the physical system and measurement tools: construction, prediction, interpretation of data, identification of model limitations, and revision. Finally, we document students' challenges in explicitly articulating assumptions when constructing models of experimental systems and further challenges in model construction due to students' insufficient prior conceptual understanding. A modeling perspective reframes many of the seemingly arbitrary technical details of measurement tools and apparatus as an opportunity for authentic and engaging scientific sense making.

  8. The ethical task of secondary teachers: An analysis through their attitudes and reasoning. Case study in the Mexican context

    OpenAIRE

    2016-01-01

    This study focused on the analysis of professional ethics of teachers. It is considered important because this teaching is itself an ethical activity because it touches on the whole person of the learner to encourage it to be gradually a better subject.Moral reasoning and moral attitudes: to have a professional approach to this ethic two related elements were studied. A case study located in Mexico, in the Superior Normal School of Michoacán (ensm), initial training institution was performed,...

  9. Security Situation Assessment of All-Optical Network Based on Evidential Reasoning Rule

    Directory of Open Access Journals (Sweden)

    Zhong-Nan Zhao

    2016-01-01

    Full Text Available It is important to determine the security situations of the all-optical network (AON, which is more vulnerable to hacker attacks and faults than other networks in some cases. A new approach of the security situation assessment to the all-optical network is developed in this paper. In the new assessment approach, the evidential reasoning (ER rule is used to integrate various evidences of the security factors including the optical faults and the special attacks in the AON. Furthermore, a new quantification method of the security situation is also proposed. A case study of an all-optical network is conducted to demonstrate the effectiveness and the practicability of the new proposed approach.

  10. 应用Fisher判别分析和案例推理两种方法的土壤类型预测及制图比较%Comparison between Fisher discriminant analysis and case-based reasoning for soil type prediction and mapping

    Institute of Scientific and Technical Information of China (English)

    邱琳; 张富; 李安波

    2012-01-01

    土壤类型预测目前没有公认、成熟的模型和方法,原因是缺乏在同一地区不同模型之间的比较研究.该文利用已知类型的土壤样点及其所处位置的高程、坡度、平面曲率、剖面曲率、复合地形指数等数据,分别采用Fisher判别分析和案例推理两种方法对安徽宣城样区进行土壤类型预测和制图表达.结果表明,在土纲级别两种方法均能够较好地预测土壤类型,但由于土壤样点的剖面数量一定,随着从土类到土族级别的降低,两种方法预测土壤类型的准确率也逐步降低.但各个级别的土壤类型预测中,案例推理的预测能力要优于Fisher判别分析方法.%Nowadays soil map has been the data bottleneck for ecological modeling, watershed simulation, precision agriculture, environmental monitoring, etc, so soil data of high spatial and temporal resolution is needed urgently. Digital soil mapping (DSM) can be a way to solve the soil data crisis. DSM focuses on soil prediction model (property or type). Scientists have presented many prediction models of soil type, but there has no uniform and acknowledged one because of lacking of comparison among different prediction models in the same region. So this study aimed to compare the predicting and mapping effectiveness of Fisher discriminant analysis (FDA) and case-based reasoning ( CBR) on soil type based on some environmental data in the same area, Xu-anchengcity, Anhui province, with scope being 118°37' 31"E-118°40'15" E, 30°5O'55"N-30°52'30" N, and area being 11.3 km2. There were 79 soil profiles, containing 48 calibration profiles and 31 validation profiles, respectively, being dug and described. Soil samples from each profile were also collected for analyzing soil property, such as pH value, organic matter, cation exchange capacity, mechanical composition, exchangeable H+, exchange-able Al3+ , free iron oxide, etc. The soils were classified into 3 soil orders, 3 soil suborders

  11. COMPUTER-AIDED BLOCK ASSEMBLY PROCESS PLANNING IN SHIPBUILD-ING BASED ON RULE-REASONING

    Institute of Scientific and Technical Information of China (English)

    ZHANG Zhiying; LI Zhen; JIANG Zhibin

    2008-01-01

    Computer-aided block assembly process planning based on rule-reasoning are developed in order to improve the assembly efficiency and implement the automated block assembly process planning generation in shipbuilding. First, weighted directed liaison graph (WDLG) is proposed to represent the model of block assembly process according to the characteristics of assembly relation, and edge list (EL) is used to describe assembly sequences. Shapes and assembly attributes of block parts are analyzed to determine the assembly position and matched parts of parts used frequently. Then, a series of assembly rules are generalized, and assembly sequences for block are obtained by means of rule reasoning. Final, a prototype system of computer-aided block assembly process planning is built. The system has been tested on actual block, and the results were found to be quite efficiency. Meanwhile, the fundament for the automation of block assembly process generation and integration with other systems is established.

  12. REALIZING THE NEED FOR SIMILARITY BASED REASONING OF CLOUD SERVICE DISCOVERY

    Directory of Open Access Journals (Sweden)

    S. BHAMA

    2011-12-01

    Full Text Available With the growing abundance of information on the web, it becomes the need of the hour to enrich data with semantics that can be understood and processed by machines. Currently, much of the effort in the area of semantics is focused on the representation of semantic data and its reasoning, which is the processing of semantic information associated with that data. This paper aims at realizing the need for similarity based reasoning of cloud service discovery. It forms a basic requirement of a cloud client to discover the most appropriate cloud service from the list of available services published by service providers. Cloud ontology provides a set of concepts, individuals and relationships among them. The similarity among cloud services can be determined from the semantic similarity of concepts and hence the relevant service can be retrieved.

  13. Fuzzy multi-criteria decision-making approach with incomplete information based on evidential reasoning

    Institute of Scientific and Technical Information of China (English)

    Jianqiang Wang; Hongyu Zhang; Zhong Zhang

    2010-01-01

    The weights of criteda are incompletely known and the criteria values are incomplete and uncertain or even default in some fuzzy multi-criteria decision-making problems.For those problems,an approach based on evidential reasoning is proposed,in which the criteria values are integrated on the basis of analytical algorithm of evidential reasoning,and then nonlinear programming models of each alternative are developed with the incomplete information on weights.The genetic algorithm is employed to solve the models,producing the weights and the utility interval of each alternative,and the ranking of the whole set of alternatives can be attained.Finally,an example shows the effectiveness of the method.

  14. A framework for providing telecommuting as a reasonable accommodation: some considerations on a comparative case study.

    Science.gov (United States)

    Kaplan, Shelley; Weiss, Sally; Moon, Nathan W; Baker, Paul

    2006-01-01

    Telecommuting, whether full time, part time, or over short periods when the need arises, can be an important accommodation for employees with disabilities. Indeed, telecommuting may be the only form of accommodation that offers employees whose disabilities fluctuate a means to stay consistently and gainfully employed. This article describes one employer's experience in considering a request for telecommuting as a reasonable accommodation for a particular employee. Drawing on real-life examples, both positive and negative, this article provides a win/win framework for decision-making that can help employers evaluate the use of telecommuting as a possible accommodation and facilitates open and ongoing communication between employer and employee.

  15. The Moral Reasoning of Public Accountants in the Development of a Code of Ethics: the Case of Indonesia

    Directory of Open Access Journals (Sweden)

    A. S. L. Lindawati

    2012-03-01

    Full Text Available The objective of this study is to explore the user’s perceptions of the role of moral reasoning in influencing the implementation of codes of ethics as standards and guidance for professional audit practice by Indonesian public accountants. The study focuses on two important aspects of influence: (i the key factors influencing professional public accountants in implementing a code of ethics as a standard for audit practice, and (ii the key activities performed by public accountants as moral agents for establishing awareness of professional values. Two theoretical approaches/models are used as guides for exploring the influence of moral reasoning of public accountants: first, Kolhberg’s model of moral development (Kolhberg 1982 and, secondly, the American Institute of Certified Public Accountants (AICPA’s Code of Conduct, especially the five principles of the code of ethics (1992, 2004. The study employs a multiple case study model to analyse the data collected from interviewing 15 financial managers of different company categories (as users. The findings indicate that (i moral development is an important component in influencing the moral reasoning of the individual public accountants, (ii the degree of professionalism of public accountants is determined by the degree of the development of their moral reasoning, and (iii moral reasoning of individuals influences both Indonesian public accountants and company financial managers in building and improving the effectiveness of the implementation of codes of conduct. It is concluded that the role of moral reasoning is an important influence on achieving ethical awareness in public accountants and financial managers. The development of a full code of ethics and an effective compliance monitoring system is essential for Indonesia if it is to play a role in the emerging global economy.

  16. Colovesical fistula causing an uncommon reason for failure of computed tomography colonography: a case report

    OpenAIRE

    2012-01-01

    Abstract Introduction Computed tomography colonography, or virtual colonoscopy, is a good alternative to optical colonoscopy. However, suboptimal patient preparation or colon distension may reduce the diagnostic accuracy of this imaging technique. Case presentation We report the case of an 83-year-old Caucasian woman who presented with a five-month history of pneumaturia and fecaluria and an acute episode of macrohematuria, leading to a high clinical suspicion of a colovesical fistula. The fi...

  17. Advances in Reasoning-Based Image Processing Intelligent Systems Conventional and Intelligent Paradigms

    CERN Document Server

    Nakamatsu, Kazumi

    2012-01-01

    The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough ...

  18. Research on monthly flow uncertain reasoning model based on cloud theory

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    In view of the mid and long term runoff forecasting containing many uncertain factors,this paper constructs a uncertain reasoning model (UR) based on the cloud theory to solve the problem of uncertain reasoning.Firstly,in the proposed model,a classification method,i.e.,attribute oriented induction maximum variance (MaxVar),is used to divide the runoff series into different intervals,which are softened and described by the cloud membership with expected value (Ex),entropy (En) and hyper-entropy (He),then an uncertain reasoning rule set is constructed by means of the runoff value generalization and applied to monthly flow for uncertain prediction.Next,a new modification formula is used to calculate He in runoff forecasting,and a confident level probability prediction interval is obtained by statistical method.Finally,this paper takes the monthly flow of Manwan station in China as an example and uses UR model,LSSVM model,and ARMA model to calculate the monthly flow,respectively.The results show that the UR model has the highest prediction accuracy compared to other models,and that it not only provides random output but also supports probability interval prediction.

  19. The Reasons Requirement in International Investment Arbitration: Critical Case Studies (book review)

    DEFF Research Database (Denmark)

    Tang, Yi Shin

    2008-01-01

    3. In the article, the Researcher reviews the work of Professors Guillermo A. Alvarez and W. Michael Reisman from Yale Law School, regarding the mechanisms of international investment arbitration and their importance for developing countries. The article provides a critical perspective on the aut......3. In the article, the Researcher reviews the work of Professors Guillermo A. Alvarez and W. Michael Reisman from Yale Law School, regarding the mechanisms of international investment arbitration and their importance for developing countries. The article provides a critical perspective...... on the authors’ argument that arbitrators in investment disputes do not follow any standards of reasoning in their decisions. It particularly points out how the authors seem to overlook the inherently sui generis nature of investment arbitration mechanisms, given that private investors and sovereign states...

  20. Examining Preservice Teachers' Classroom Management Decisions in Three Case-Based Teaching Approaches

    Science.gov (United States)

    Cevik, Yasemin Demiraslan; Andre, Thomas

    2013-01-01

    This study was aimed at comparing the impact of three types of case-based approaches (worked example, faded work example, and case-based reasoning) on preservice teachers' decision making and reasoning skills related to realistic classroom management situations. Participants in this study received a short-term implementation of one of these three…

  1. CASE-BASED CONCEPTUAL DESIGN

    Institute of Scientific and Technical Information of China (English)

    Ling Weiqing; Yan Junwei; Wang Jian; Xie Youbai

    2004-01-01

    The current method of case-based design (CBD) can be well practiced for configuration design in which design experience knowledge is involved.However, since the design case is confined to a certain application domain, it is difficult for CBD to be applied to conceptual design process that develops concepts to meet design specifications.Firstly, a function factor description space is erected to provide an exhibition room for all functions of design cases.Next, the approach for identifying the space state of function factor in description space is proposed, including the determination of the similarities between function factors of design case.And then a general object-oriented representation for design case is presented by bringing the class of function and in-out flow into the current case representation.Finally, a living example for electro-pet design that illustrates the implementation of the method for case-based conceptual design based on distributed design case repositories is described.

  2. Do medical students’ scores using different assessment instruments predict their scores in clinical reasoning using a computer-based simulation?

    Directory of Open Access Journals (Sweden)

    Fida M

    2015-02-01

    Full Text Available Mariam Fida,1 Salah Eldin Kassab2 1Department of Molecular Medicine, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain; 2Department of Medical Education, Faculty of Medicine, Suez Canal University, Ismailia, Egypt Purpose: The development of clinical problem-solving skills evolves over time and requires structured training and background knowledge. Computer-based case simulations (CCS have been used for teaching and assessment of clinical reasoning skills. However, previous studies examining the psychometric properties of CCS as an assessment tool have been controversial. Furthermore, studies reporting the integration of CCS into problem-based medical curricula have been limited. Methods: This study examined the psychometric properties of using CCS software (DxR Clinician for assessment of medical students (n=130 studying in a problem-based, integrated multisystem module (Unit IX during the academic year 2011–2012. Internal consistency reliability of CCS scores was calculated using Cronbach's alpha statistics. The relationships between students' scores in CCS components (clinical reasoning, diagnostic performance, and patient management and their scores in other examination tools at the end of the unit including multiple-choice questions, short-answer questions, objective structured clinical examination (OSCE, and real patient encounters were analyzed using stepwise hierarchical linear regression. Results: Internal consistency reliability of CCS scores was high (α=0.862. Inter-item correlations between students' scores in different CCS components and their scores in CCS and other test items were statistically significant. Regression analysis indicated that OSCE scores predicted 32.7% and 35.1% of the variance in clinical reasoning and patient management scores, respectively (P<0.01. Multiple-choice question scores, however, predicted only 15.4% of the variance in diagnostic performance scores (P<0.01, while

  3. Robotics Vision-based Heuristic Reasoning for Underwater Target Tracking and Navigation

    Directory of Open Access Journals (Sweden)

    Chua Kia

    2008-11-01

    Full Text Available This paper presents a robotics vision-based heuristic reasoning system for underwater target tracking and navigation. This system is introduced to improve the level of automation of underwater Remote Operated Vehicles (ROVs operations. A prototype which combines computer vision with an underwater robotics system is successfully designed and developed to perform target tracking and intelligent navigation. This study focuses on developing image processing algorithms and fuzzy inference system for the analysis of the terrain. The vision system developed is capable of interpreting underwater scene by extracting subjective uncertainties of the object of interest. Subjective uncertainties are further processed as multiple inputs of a fuzzy inference system that is capable of making crisp decisions concerning where to navigate. The important part of the image analysis is morphological filtering. The applications focus on binary images with the extension of gray-level concepts. An open-loop fuzzy control system is developed for classifying the traverse of terrain. The great achievement is the system's capability to recognize and perform target tracking of the object of interest (pipeline in perspective view based on perceived condition. The effectiveness of this approach is demonstrated by computer and prototype simulations. This work is originated from the desire to develop robotics vision system with the ability to mimic the human expert's judgement and reasoning when maneuvering ROV in the traverse of the underwater terrain.

  4. Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System

    Directory of Open Access Journals (Sweden)

    tanja brcko

    2013-12-01

    Full Text Available Despite the generally high qualifications of seafarers, many maritime accidents are caused by human error; such accidents include capsizing, collision, and fire, and often result in pollution. Enough concern has been generated that researchers around the world have developed the study of the human factor into an independent scientific discipline. A great deal of progress has been made, particularly in the area of artificial intelligence. But since total autonomy is not yet expedient, the decision support systems based on soft computing are proposed to support human navigators and VTS operators in times of crisis as well as during the execution of everyday tasks as a means of reducing risk levels.This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system. The main goal is to determine the appropriate course of avoidance, using fuzzy reasoning.

  5. Approximate reasoning-based learning and control for proximity operations and docking in space

    Science.gov (United States)

    Berenji, Hamid R.; Jani, Yashvant; Lea, Robert N.

    1991-01-01

    A recently proposed hybrid-neutral-network and fuzzy-logic-control architecture is applied to a fuzzy logic controller developed for attitude control of the Space Shuttle. A model using reinforcement learning and learning from past experience for fine-tuning its knowledge base is proposed. Two main components of this approximate reasoning-based intelligent control (ARIC) model - an action-state evaluation network and action selection network are described as well as the Space Shuttle attitude controller. An ARIC model for the controller is presented, and it is noted that the input layer in each network includes three nodes representing the angle error, angle error rate, and bias node. Preliminary results indicate that the controller can hold the pitch rate within its desired deadband and starts to use the jets at about 500 sec in the run.

  6. Using Model-Based Reasoning for Autonomous Instrument Operation - Lessons Learned From IMAGE/LENA

    Science.gov (United States)

    Johnson, Michael A.; Rilee, Michael L.; Truszkowski, Walt; Bailin, Sidney C.

    2001-01-01

    Model-based reasoning has been applied as an autonomous control strategy on the Low Energy Neutral Atom (LENA) instrument currently flying on board the Imager for Magnetosphere-to-Aurora Global Exploration (IMAGE) spacecraft. Explicit models of instrument subsystem responses have been constructed and are used to dynamically adapt the instrument to the spacecraft's environment. These functions are cast as part of a Virtual Principal Investigator (VPI) that autonomously monitors and controls the instrument. In the VPI's current implementation, LENA's command uplink volume has been decreased significantly from its previous volume; typically, no uplinks are required for operations. This work demonstrates that a model-based approach can be used to enhance science instrument effectiveness. The components of LENA are common in space science instrumentation, and lessons learned by modeling this system may be applied to other instruments. Future work involves the extension of these methods to cover more aspects of LENA operation and the generalization to other space science instrumentation.

  7. Reasons for (nonparticipating in a telephone-based intervention program for families with overweight children.

    Directory of Open Access Journals (Sweden)

    Franziska Alff

    Full Text Available OBJECTIVE: Willingness to participate in obesity prevention programs is low; underlying reasons are poorly understood. We evaluated reasons for (nonparticipating in a novel telephone-based obesity prevention program for overweight children and their families. METHOD: Overweight children and adolescents (BMI>90(th percentile aged 3.5-17.4 years were screened via the CrescNet database, a representative cohort of German children, and program participation (repetitive computer aided telephone counseling was offered by their local pediatrician. Identical questionnaires to collect baseline data on anthropometrics, lifestyle, eating habits, sociodemographic and psychosocial parameters were analyzed from 433 families (241 participants, 192 nonparticipants. Univariate analyses and binary logistic regression were used to identify factors associated with nonparticipation. RESULTS: The number of overweight children (BMI>90(th percentile was higher in nonparticipants than participants (62% vs. 41.1%,p97(th percentile was higher in participants (58.9% vs.38%,p<0.001. Participating girls were younger than boys (8.8 vs.10.4 years, p<0.001. 87.3% and 40% of participants, but only 72.2% and 24.7% of nonparticipants, respectively, reported to have regular breakfasts (p = 0.008 and 5 regular daily meals (p = 0.003. Nonparticipants had a lower household-net-income (p<0.001, but higher subjective physical wellbeing than participants (p = 0.018 and believed that changes in lifestyle can be made easily (p = 0.05. CONCLUSION: An important reason for nonparticipation was non-awareness of their child's weight status by parents. Nonparticipants, who were often low-income families, believed that they already perform a healthy lifestyle and had a higher subjective wellbeing. We hypothesize that even a low-threshold intervention program does not reach the families who really need it.

  8. Chemical Reasoning Based on an Invariance Property: Bond and Lone Pair Pictures in Quantum Structural Formulas

    Directory of Open Access Journals (Sweden)

    Joseph Alia

    2010-07-01

    Full Text Available Chemists use one set of orbitals when comparing to a structural formula, hybridized AOs or NBOs for example, and another for reasoning in terms of frontier orbitals, MOs usually. Chemical arguments can frequently be made in terms of energy and/or electron density without the consideration of orbitals at all. All orbital representations, orthogonal or not, within a given function space are related by linear transformation. Chemical arguments based on orbitals are really energy or electron density arguments; orbitals are linked to these observables through the use of operators. The Valency Interaction Formula, VIF, offers a system of chemical reasoning based on the invariance of observables from one orbital representation to another. VIF pictures have been defined as one-electron density and Hamiltonian operators. These pictures are classified in a chemically meaningful way by use of linear transformations applied to them in the form of two pictorial rules and the invariance of the number of doubly, singly, and unoccupied orbitals or bonding, nonbonding, and antibonding orbitals under these transformations. The compatibility of the VIF method with the bond pair – lone pair language of Lewis is demonstrated. Different electron lone pair representations are related by the pictorial rules and have stability understood in terms of Walsh’s rules. Symmetries of conjugated ring systems are related to their electronic state by simple mathematical formulas. Description of lone pairs in conjugated systems is based on the strength and sign of orbital interactions around the ring. Simple models for bonding in copper clusters are tested, and the bonding of O2 to Fe(II in hemoglobin is described. Arguments made are supported by HF, B3LYP, and MP2 computations.

  9. A Reasoning And Hypothesis-Generation Framework Based On Scalable Graph Analytics

    Energy Technology Data Exchange (ETDEWEB)

    Sukumar, Sreenivas Rangan [ORNL

    2016-01-01

    Finding actionable insights from data has always been difficult. As the scale and forms of data increase tremendously, the task of finding value becomes even more challenging. Data scientists at Oak Ridge National Laboratory are leveraging unique leadership infrastructure (e.g. Urika-XA and Urika-GD appliances) to develop scalable algorithms for semantic, logical and statistical reasoning with unstructured Big Data. We present the deployment of such a framework called ORiGAMI (Oak Ridge Graph Analytics for Medical Innovations) on the National Library of Medicine s SEMANTIC Medline (archive of medical knowledge since 1994). Medline contains over 70 million knowledge nuggets published in 23.5 million papers in medical literature with thousands more added daily. ORiGAMI is available as an open-science medical hypothesis generation tool - both as a web-service and an application programming interface (API) at http://hypothesis.ornl.gov . Since becoming an online service, ORIGAMI has enabled clinical subject-matter experts to: (i) discover the relationship between beta-blocker treatment and diabetic retinopathy; (ii) hypothesize that xylene is an environmental cancer-causing carcinogen and (iii) aid doctors with diagnosis of challenging cases when rare diseases manifest with common symptoms. In 2015, ORiGAMI was featured in the Historical Clinical Pathological Conference in Baltimore as a demonstration of artificial intelligence to medicine, IEEE/ACM Supercomputing and recognized as a Centennial Showcase Exhibit at the Radiological Society of North America (RSNA) Conference in Chicago. The final paper will describe the workflow built for the Cray Urika-XA and Urika-GD appliances that is able to reason with the knowledge of every published medical paper every time a clinical researcher uses the tool.

  10. Application of uncertainty reasoning based on cloud model in time series prediction

    Institute of Scientific and Technical Information of China (English)

    张锦春; 胡谷雨

    2003-01-01

    Time series prediction has been successfully used in several application areas, such as meteoro-logical forecasting, market prediction, network traffic forecasting, etc. , and a number of techniques have been developed for modeling and predicting time series. In the traditional exponential smoothing method, a fixed weight is assigned to data history, and the trend changes of time series are ignored. In this paper, an uncertainty reasoning method, based on cloud model, is employed in time series prediction, which uses cloud logic controller to adjust the smoothing coefficient of the simple exponential smoothing method dynamically to fit the current trend of the time series. The validity of this solution was proved by experiments on various data sets.

  11. Investigating the role of model-based reasoning while troubleshooting an electric circuit

    Science.gov (United States)

    Dounas-Frazer, Dimitri R.; Van De Bogart, Kevin L.; Stetzer, MacKenzie R.; Lewandowski, H. J.

    2016-06-01

    We explore the overlap of two nationally recognized learning outcomes for physics lab courses, namely, the ability to model experimental systems and the ability to troubleshoot a malfunctioning apparatus. Modeling and troubleshooting are both nonlinear, recursive processes that involve using models to inform revisions to an apparatus. To probe the overlap of modeling and troubleshooting, we collected audiovisual data from think-aloud activities in which eight pairs of students from two institutions attempted to diagnose and repair a malfunctioning electrical circuit. We characterize the cognitive tasks and model-based reasoning that students employed during this activity. In doing so, we demonstrate that troubleshooting engages students in the core scientific practice of modeling.

  12. Knowledge-based reasoning to annotate noncoding RNA using multi-agent system.

    Science.gov (United States)

    Arruda, Wosley C; Souza, Daniel S; Ralha, Célia G; Walter, Maria Emilia M T; Raiol, Tainá; Brigido, Marcelo M; Stadler, Peter F

    2015-12-01

    Noncoding RNAs (ncRNAs) have been focus of intense research over the last few years. Since characteristics and signals of ncRNAs are not entirely known, researchers use different computational tools together with their biological knowledge to predict putative ncRNAs. In this context, this work presents ncRNA-Agents, a multi-agent system to annotate ncRNAs based on the output of different tools, using inference rules to simulate biologists' reasoning. Experiments with data from the fungus Saccharomyces cerevisiae allowed to measure the performance of ncRNA-Agents, with better sensibility, when compared to Infernal, a widely used tool for annotating ncRNA. Besides, data of the Schizosaccharomyces pombe and Paracoccidioides brasiliensis fungi identified novel putative ncRNAs, which demonstrated the usefulness of our approach. NcRNA-Agents can be be found at: http://www.biomol.unb.br/ncrna-agents.

  13. Application of uncertainty reasoning based on cloud model in time series prediction

    Institute of Scientific and Technical Information of China (English)

    张锦春; 胡谷雨

    2003-01-01

    Time series prediction has been successfully used in several application areas, such as meteorological forecasting, market prediction, network traffic forecasting, etc., and a number of techniques have been developed for modeling and predicting time series. In the traditional exponential smoothing method, a fixed weight is assigned to data history, and the trend changes of time series are ignored. In this paper, an uncertainty reasoning method, based on cloud model, is employed in time series prediction, which uses cloud logic controller to adjust the smoothing coefficient of the simple exponential smoothing method dynamically to fit the current trend of the time series. The validity of this solution was proved by experiments on various data sets.

  14. Investigating the role of model-based reasoning while troubleshooting an electric circuit

    CERN Document Server

    Dounas-Frazer, Dimitri R; Stetzer, MacKenzie R; Lewandowski, H J

    2016-01-01

    We explore the overlap of two nationally-recognized learning outcomes for physics lab courses, namely, the ability to model experimental systems and the ability to troubleshoot a malfunctioning apparatus. Modeling and troubleshooting are both nonlinear, recursive processes that involve using models to inform revisions to an apparatus. To probe the overlap of modeling and troubleshooting, we collected audiovisual data from think-aloud activities in which eight pairs of students from two institutions attempted to diagnose and repair a malfunctioning electrical circuit. We characterize the cognitive tasks and model-based reasoning that students employed during this activity. In doing so, we demonstrate that troubleshooting engages students in the core scientific practice of modeling.

  15. Cue integration vs. exemplar-based reasoning in multi-attribute decisions from memory

    Directory of Open Access Journals (Sweden)

    Arndt Broeder

    2010-08-01

    Full Text Available Inferences about target variables can be achieved by deliberate integration of probabilistic cues or by retrieving similar cue-patterns (exemplars from memory. In tasks with cue information presented in on-screen displays, rule-based strategies tend to dominate unless the abstraction of cue-target relations is unfeasible. This dominance has also been demonstrated --- surprisingly --- in experiments that demanded the retrieval of cue values from memory (M. Persson and J. Rieskamp, 2009. In three modified replications involving a fictitious disease, binary cue values were represented either by alternative symptoms (e.g., fever vs. hypothermia or by symptom presence vs. absence (e.g., fever vs. no fever. The former representation might hinder cue abstraction. The cues were predictive of the severity of the disease, and participants had to infer in each trial who of two patients was sicker. Both experiments replicated the rule-dominance with present-absent cues but yielded higher percentages of exemplar-based strategies with alternative cues. The experiments demonstrate that a change in cue representation may induce a dramatic shift from rule-based to exemplar-based reasoning in formally identical tasks.

  16. Applying Analytic Reasoning to Clarify Intention and Responsibility in Joint Criminal Enterprise Cases

    Directory of Open Access Journals (Sweden)

    Anthony Amatrudo

    2016-12-01

    Full Text Available This paper argues that both criminologists and lawyers need a far more philosophically robust account of joint action, notably as it relates to technical matters of intentionality and responsibility when dealing with joint criminal enterprise cases. Criminology seems unable to see beyond the superficiality of cultural explanations ill-suited to understanding matters of action. Law seems wedded to mystical notions of foresight. As regards the law there seems common agreement that joint enterprise prosecutions tend to over-criminalise secondary parties. This paper suggests that the current discussions around joint criminal enterprise will benefit from a critical engagement with analytical philosophy. The paper will examine a series of technical accounts of shared commitment and intention in order to explain the problems of joint criminal enterprise (multi-agent criminal activity. Este artículo defiende que tanto criminólogos como abogados necesitan ofrecer una acción conjunta más robusta, desde el punto de vista filosófico, especialmente en lo que se refiere a aspectos técnicos de intencionalidad y responsabilidad, al tratar casos de colaboración criminal. La criminología parece incapaz de ver más allá de la superficialidad de las explicaciones culturales, inadecuadas para entender cuestiones de acción. El derecho parece aliado con nociones místicas de previsión. En lo que respecta al derecho, parece que existe un consenso en que los fiscales de asociaciones de malhechores tienden a penalizar en exceso a los cómplices. Este artículo sugiere que el debate actual sobre asociaciones criminales se beneficiará de un compromiso crítico con la filosofía analítica. El artículo analiza un conjunto de explicaciones técnicas de compromiso e intención compartidos para explicar los problemas de las asociaciones criminales (actividad criminal multi-agente. DOWNLOAD THIS PAPER FROM SSRN: http://ssrn.com/abstract=2847796

  17. Reasons for placement of restorations on previously unrestored tooth surfaces by dentists in The Dental Practice-Based Research Network

    DEFF Research Database (Denmark)

    Nascimento, Marcelle M; Gordan, Valeria V; Qvist, Vibeke;

    2010-01-01

    The authors conducted a study to identify and quantify the reasons used by dentists in The Dental Practice-Based Research Network (DPBRN) for placing restorations on unrestored permanent tooth surfaces and the dental materials they used in doing so....

  18. Analysis the Reason of 1 Case With Fracture Reason of Metal Bone Screw%一例金属接骨螺钉断裂原因分析

    Institute of Scientific and Technical Information of China (English)

    李涛

    2016-01-01

    目的:研究探讨一例金属接骨螺钉断裂原因,为今后金属接骨螺钉的实际应用提供参考。方法回顾性分析本院收治的1例外科手术治疗骨折并行金属接骨板固定患者,患者术后1月出现金属接骨螺钉断裂失效情况,对此采取现代试验检测技术进行宏观观察、金属化学成分检测、硬度试验、显微组织观察及表面质量检测进行分析。结果螺钉断裂主因是由材质表面存在的裂纹,造成螺距根部应力集中爆发,使之出现较作用力后扩展表面裂纹,造成受力不均断裂。结论金属接骨螺钉断裂主因材质本身存在的不连续裂纹,在钢板连接接骨固定后,循环作用力因素影响,不断加剧裂纹扩张,造成金属螺纹钉发生疲劳性断裂。笔者结合光学金相显微镜技术及电子探针设备辅助对螺纹断口原因进行分析,明确螺钉断裂因素,为今后金属接骨螺钉的实际应用提供参考。%Objective To investigate a case of metal bone screw fracture, and provide a reference for the practical application of metal bone screw in the future.Methods A retrospective analysis of our hospital 1 cases of surgical treatment of fracture of parallel metal plate fixation patients, patients postoperative 1 month appear metal bone screw fracture failure. For this to take modern test technology of macro observation, metal chemical composition test, hardness test and microstructure observation organization and surface quality detection are analyzed.Results Screw fracture is mainly caused by the cracks on the surface of the material, which causes the stress concentration at the root of the pitch, which causes the crack to crack, which is caused by the uneven stress.Conclusion Metal bone screw fracture cause of material itself and the discontinuous crack, in the plate connection after osteosynthesis and circulating acting force factors, increasing the crack expansion, caused by metal

  19. NNF and NNPrF—Fuzzy Petri Nets Based on Neural Network for Knowledge Representation,Reasoning and Learning

    Institute of Scientific and Technical Information of China (English)

    周奕; 吴时霖

    1996-01-01

    This paper proposes NNF-a fuzzy Petri Net system based on neural network for proposition logic repesentation,and gives the formal definition of NNF.For the NNF model,forward reasoning algorithm,backward reasoning algorithm and knowledge learning algorithm are discussed based on weight training algorithm of neural network-Back Propagation algorithm.Thus NNF is endowed with the ability of learning a rule.The paper concludes with a discussion on extending NNF to predicate logic,forming NNPrF,and proposing the formal definition and a reasoning algorithm of NNPrF.

  20. Reasons for measles cases not being vaccinated with MMR: investigation into parents' and carers' views following a large measles outbreak.

    Science.gov (United States)

    McHale, P; Keenan, A; Ghebrehewet, S

    2016-03-01

    Uptake rates for the combined measles, mumps and rubella (MMR) vaccine have been below the required 95% in the UK since a retracted and discredited article linking the MMR vaccine with autism and inflammatory bowel disease was released in 1998. This study undertook semi-structured telephone interviews among parents or carers of 47 unvaccinated measles cases who were aged between 13 months and 9 years, during a large measles outbreak in Merseyside. Results showed that concerns over the specific links with autism remain an important cause of refusal to vaccinate, with over half of respondents stating this as a reason. A quarter stated child illness during scheduled vaccination time, while other reasons included general safety concerns and access issues. Over half of respondents felt that more information or a discussion with a health professional would help the decision-making process, while a third stated improved access. There was clear support for vaccination among respondents when asked about current opinions regarding MMR vaccine. The findings support the hypothesis that safety concerns remain a major barrier to MMR vaccination, and also support previous evidence that experience of measles is an important determinant in the decision to vaccinate.

  1. Reducing cyberbullying: A theory of reasoned action-based video prevention program for college students.

    Science.gov (United States)

    Doane, Ashley N; Kelley, Michelle L; Pearson, Matthew R

    2016-01-01

    Few studies have evaluated the effectiveness of cyberbullying prevention/intervention programs. The goals of the present study were to develop a Theory of Reasoned Action (TRA)-based video program to increase cyberbullying knowledge (1) and empathy toward cyberbullying victims (2), reduce favorable attitudes toward cyberbullying (3), decrease positive injunctive (4) and descriptive norms about cyberbullying (5), and reduce cyberbullying intentions (6) and cyberbullying behavior (7). One hundred sixty-seven college students were randomly assigned to an online video cyberbullying prevention program or an assessment-only control group. Immediately following the program, attitudes and injunctive norms for all four types of cyberbullying behavior (i.e., unwanted contact, malice, deception, and public humiliation), descriptive norms for malice and public humiliation, empathy toward victims of malice and deception, and cyberbullying knowledge significantly improved in the experimental group. At one-month follow-up, malice and public humiliation behavior, favorable attitudes toward unwanted contact, deception, and public humiliation, and injunctive norms for public humiliation were significantly lower in the experimental than the control group. Cyberbullying knowledge was significantly higher in the experimental than the control group. These findings demonstrate a brief cyberbullying video is capable of improving, at one-month follow-up, cyberbullying knowledge, cyberbullying perpetration behavior, and TRA constructs known to predict cyberbullying perpetration. Considering the low cost and ease with which a video-based prevention/intervention program can be delivered, this type of approach should be considered to reduce cyberbullying.

  2. EFFECTUAL REASONING AND CAUSAL REASONING IN CREATING NEW BUSINESSES: A CASE STUDY http://dx.doi.org/10.5585/riae.v10i2.1718

    Directory of Open Access Journals (Sweden)

    Juan Miguel Rosa González

    2011-10-01

    Full Text Available This article focuses on the process of new business creation, considering the effectuation approach, which explains the phenomenon of entrepreneurship in a different perspective than the traditional causal approach. Beginning with a description of the effectual approach assumptions, a case study about the subject is presented in order to explore the logic of the business creation process. The case discusses a Brazilian organization created in 1980 to produce materials and services in steel industry. Through structured interview with the entrepreneur who idealized the business, the main events in the early stages of the project are described. The results show the relationship between entrepreneur’s means available at the time of the enterprise creation and the new business design. In addition, the entrepreneur preferred a strategy of drawing instead of a decision one, and gave priority to strategic partnerships as a substitute of formal market research. All these aspects are covered by the effectual approach.

  3. An approximate-reasoning-based method for screening flammable gas tanks

    Energy Technology Data Exchange (ETDEWEB)

    Eisenhawer, S.W.; Bott, T.F.; Smith, R.E.

    1998-03-01

    High-level waste (HLW) produces flammable gases as a result of radiolysis and thermal decomposition of organics. Under certain conditions, these gases can accumulate within the waste for extended periods and then be released quickly into the dome space of the storage tank. As part of the effort to reduce the safety concerns associated with flammable gas in HLW tanks at Hanford, a flammable gas watch list (FGWL) has been established. Inclusion on the FGWL is based on criteria intended to measure the risk associated with the presence of flammable gas. It is important that all high-risk tanks be identified with high confidence so that they may be controlled. Conversely, to minimize operational complexity, the number of tanks on the watchlist should be reduced as near to the true number of flammable risk tanks as the current state of knowledge will support. This report presents an alternative to existing approaches for FGWL screening based on the theory of approximate reasoning (AR) (Zadeh 1976). The AR-based model emulates the inference process used by an expert when asked to make an evaluation. The FGWL model described here was exercised by performing two evaluations. (1) A complete tank evaluation where the entire algorithm is used. This was done for two tanks, U-106 and AW-104. U-106 is a single shell tank with large sludge and saltcake layers. AW-104 is a double shell tank with over one million gallons of supernate. Both of these tanks had failed the screening performed by Hodgson et al. (2) Partial evaluations using a submodule for the predictor likelihood for all of the tanks on the FGWL that had been flagged previously by Whitney (1995).

  4. CDMBE: A Case Description Model Based on Evidence

    Directory of Open Access Journals (Sweden)

    Jianlin Zhu

    2015-01-01

    Full Text Available By combining the advantages of argument map and Bayesian network, a case description model based on evidence (CDMBE, which is suitable to continental law system, is proposed to describe the criminal cases. The logic of the model adopts the credibility logical reason and gets evidence-based reasoning quantitatively based on evidences. In order to consist with practical inference rules, five types of relationship and a set of rules are defined to calculate the credibility of assumptions based on the credibility and supportability of the related evidences. Experiments show that the model can get users’ ideas into a figure and the results calculated from CDMBE are in line with those from Bayesian model.

  5. Ozone prediction based on meteorological variables: a fuzzy inductive reasoning approach

    Directory of Open Access Journals (Sweden)

    A. Nebot

    2008-06-01

    Full Text Available MILAGRO project was conducted in Mexico City during March 2006 with the main objective of study the local and global impact of pollution generated by megacities. The research presented in this paper is framed in MILAGRO project and is focused on the study and development of modeling methodologies that allow the forecasting of daily ozone concentrations. The present work aims to develop Fuzzy Inductive Reasoning (FIR models using the Visual-FIR platform. FIR offers a model-based approach to modeling and predicting either univariate or multivariate time series. Visual-FIR offers an easy-friendly environment to perform this task. In this research, long term prediction of maximum ozone concentration in the downtown of Mexico City Metropolitan Area is performed. The data were registered every hour and include missing values. Two modeling perspectives are analyzed, i.e. monthly and seasonal models. The results show that the developed models are able to predict the diurnal variation of ozone, including its maximum daily value in an accurate manner.

  6. Experiencing teaching and learning quantitative reasoning in a project-based context

    Science.gov (United States)

    Muir, Tracey; Beswick, Kim; Callingham, Rosemary; Jade, Katara

    2016-12-01

    This paper presents the findings of a small-scale study that investigated the issues and challenges of teaching and learning about quantitative reasoning (QR) within a project-based learning (PjBL) context. Students and teachers were surveyed and interviewed about their experiences of learning and teaching QR in that context in contrast to teaching and learning mathematics in more traditional settings. The grade 9-12 student participants were characterised by a history of disengagement with mathematics and school in general, and the teacher participants were non-mathematics specialist teachers. Both students and teachers were new to the PjBL situation, which resulted in the teaching/learning relationship being a reciprocal one. The findings indicated that students and teachers viewed QR positively, particularly when compared with traditional mathematics teaching, yet tensions were identified for aspects such as implementation of curriculum and integration of relevant mathematics into projects. Both sets of participants identified situations where learning QR was particularly successful, along with concerns or difficulties about integrating QR into project work. The findings have implications for educators, who may need to examine their own approaches to mathematics teaching, particularly in terms of facilitating student engagement with the subject.

  7. Experiencing teaching and learning quantitative reasoning in a project-based context

    Science.gov (United States)

    Muir, Tracey; Beswick, Kim; Callingham, Rosemary; Jade, Katara

    2016-09-01

    This paper presents the findings of a small-scale study that investigated the issues and challenges of teaching and learning about quantitative reasoning (QR) within a project-based learning (PjBL) context. Students and teachers were surveyed and interviewed about their experiences of learning and teaching QR in that context in contrast to teaching and learning mathematics in more traditional settings. The grade 9-12 student participants were characterised by a history of disengagement with mathematics and school in general, and the teacher participants were non-mathematics specialist teachers. Both students and teachers were new to the PjBL situation, which resulted in the teaching/learning relationship being a reciprocal one. The findings indicated that students and teachers viewed QR positively, particularly when compared with traditional mathematics teaching, yet tensions were identified for aspects such as implementation of curriculum and integration of relevant mathematics into projects. Both sets of participants identified situations where learning QR was particularly successful, along with concerns or difficulties about integrating QR into project work. The findings have implications for educators, who may need to examine their own approaches to mathematics teaching, particularly in terms of facilitating student engagement with the subject.

  8. Reasoning of Plantation and Selection of Agricultural Economy in the Qing Dynasty——A Case Study Based on Henan Province%种植理性与清代农家经济选择——以河南省为中心的研究

    Institute of Scientific and Technical Information of China (English)

    邓玉娜

    2011-01-01

    将清代河南省粮食种植中夏粮和秋粮分开考量,传统农业区河南省以口粮为主的粮食生产在长时期内保持着优势地位,农民家庭根据生存理性合理地安排着种植结构。这种状况一直保持到清末,随着市场价格走高、交通运输改观、农业技术革新等因素的刺激,油料作物、烟叶、棉花等为代表的经济作物开始挤压口粮主食作物的种植,出现了真正的"与粮争地"。这同样是农家经济行为选择中的理性表现,也是中国工业化变迁过程中出现的主要现象之一。%This paper investigated the summer and autumn crops grown in Henan Province in the Qing Dynasty respectively.According to the results,it was thought that Henan Province maintained an advantageous place in provisions-based grain production in China's traditional agricultural areas and that each farmer's family properly arranged its structure of plantation depending on the reasoning of survival.This situation remained till the late Qing Dynasty when such commercial crops as oil plants,tobacco,cotton started to diverse the plantation of provisions crops under the stimulation of multiple elements,such as the rise of market price,improvement of communications and transportation and innovations of agricultural technology.Thus occurred the real situation of "vying provisions crops for land".However,this just expressed the Chinese farmer's reasoning in his choice of economic behaviour,which happened to be one of leading phenimena in the course of China's industrialization.

  9. Scientific reasoning abilities of non-science majors in physics-based courses

    CERN Document Server

    Moore, J Christopher

    2011-01-01

    We have found that non-STEM majors taking either a conceptual physics or astronomy course at two regional comprehensive institutions score significantly lower pre-instruction on the Lawson's Classroom Test of Scientific Reasoning (LCTSR) in comparison to national average STEM majors. The majority of non-STEM students can be classified as either concrete operational or transitional reasoners in Piaget's theory of cognitive development, whereas in the STEM population formal operational reasoners are far more prevalent. In particular, non-STEM students demonstrate significant difficulty with proportional and hypothetico-deductive reasoning. Pre-scores on the LCTSR are correlated with normalized learning gains on various concept inventories. The correlation is strongest for content that can be categorized as mostly theoretical, meaning a lack of directly observable exemplars, and weakest for content categorized as mostly descriptive, where directly observable exemplars are abundant. Although the implementation of...

  10. CASCADED FUNZZY SYSTEM AND ITS ROBUST ANALYSIS BASED ON SYLLOGISTIC FUZZY REASONING

    Institute of Scientific and Technical Information of China (English)

    Wang Shitong; Korris F. L. Chung

    2004-01-01

    Syllogistic fuzzy reasoning is introduced into fizzy system, and the new Cascaded Fuzzy System(CFS) is presented. The thoroughly theoretical analysis and experimental results show that syllogistic fuzzy reasoning is more robust than all other implication inferences for noise data and that CFS has better robustness than conventional fuzzy systems, which provide the solid foundation for CFS's potential application in fuzzy control and modeling and so on.

  11. Practical Approach to Knowledge-based Question Answering with Natural Language Understanding and Advanced Reasoning

    CERN Document Server

    Wong, Wilson

    2007-01-01

    This research hypothesized that a practical approach in the form of a solution framework known as Natural Language Understanding and Reasoning for Intelligence (NaLURI), which combines full-discourse natural language understanding, powerful representation formalism capable of exploiting ontological information and reasoning approach with advanced features, will solve the following problems without compromising practicality factors: 1) restriction on the nature of question and response, and 2) limitation to scale across domains and to real-life natural language text.

  12. Midwives’ Clinical Reasons for Performing Episiotomies in the Kurdistan Region; Are they evidence-based?

    Directory of Open Access Journals (Sweden)

    Hamdia M. Ahmed

    2014-08-01

    Full Text Available Objectives: An episiotomy is one of the most common obstetric surgical procedures and is performed mainly by midwives. The decision to perform an episiotomy depends on related clinical factors. This study aimed to find out midwives’ reasons for performing episiotomies and to identify the relationship between these reasons and the demographic characteristics of the midwives. Methods: This cross-sectional study was conducted between 1st July and 30th September 2013 in three governmental maternity teaching hospitals in the three main cities of the Kurdistan Region of Iraq. All of the midwives who had worked in the delivery rooms of these hospitals for at least one year were invited to participate in the study (n = 53. Data were collected through interviews with midwives as well as via a questionnaire constructed for the purpose of the study. The questionnaire sought to determine: midwives’ demographic characteristics; type of episiotomy performed; authority of the decision to perform the procedure, and reasons for performing episiotomies. Results: The main clinical reasons reported by midwives for performing an episiotomy were: macrosomia/large fetus (38, 71.7%, breech delivery (31, 58.5%, shoulder dystocia (29, 54.7%, anticipated perineal tear (27, 50.9% and fetal distress (27, 50.9%. There was a significant association between the frequency of these reasons and midwives’ total experience in delivery rooms as well as their levels of education. Conclusion: Most of the reasons given by the midwives for performing episiotomies were not evidencebased. Age, years of experience, specialties and level of education also had an effect on midwives’ reasons for performing episiotomies.

  13. A decision method based on uncertainty reasoning of linguistic truth-valued concept lattice

    Science.gov (United States)

    Yang, Li; Xu, Yang

    2010-04-01

    Decision making with linguistic information is a research hotspot now. This paper begins by establishing the theory basis for linguistic information processing and constructs the linguistic truth-valued concept lattice for a decision information system, and further utilises uncertainty reasoning to make the decision. That is, we first utilise the linguistic truth-valued lattice implication algebra to unify the different kinds of linguistic expressions; second, we construct the linguistic truth-valued concept lattice and decision concept lattice according to the concrete decision information system and third, we establish the internal and external uncertainty reasoning methods and talk about the rationality of them. We apply these uncertainty reasoning methods into decision making and present some generation methods of decision rules. In the end, we give an application of this decision method by an example.

  14. AVER : Argument visualization for evidential reasoning

    NARCIS (Netherlands)

    Braak, S.W. van den; Vreeswijk, G.A.W.

    2006-01-01

    This paper reports on the ongoing development of a collaborative, webbased application for argument visualization named AVER (Argument Visualization for Evidential Reasoning). It is targeted at police officers who may use it to express their reasoning about a case based on evidence. AVER provides an

  15. Design Considerations for a Case-Based Reasoning Engine for Scenario-Based Cyber Incident Notification

    Science.gov (United States)

    2011-04-01

    To fully capture the domain, all stakeholders should have the ability to provide input. As a result, a cyber incident notification system must...lesson is umstances must gestion offers a onale shows the modifications, a earch. d a user when es on creating a oblem statement layed. We

  16. Context Impact of Clinical Scenario on Knowledge Transfer and Reasoning Capacity in a Medical Problem-Based Learning Curriculum

    Science.gov (United States)

    Collard, A.; Brédart, S.; Bourguignon, J.-P.

    2016-01-01

    Since 2000, the faculty of Medicine at the University of Liège has integrated problem-based learning (PBL) seminars from year two to seven in its seven-year curriculum. The PBL approach has been developed to facilitate students' acquisition of reasoning capacity. This contextualized learning raises the question of the de- and re-contextualization…

  17. Using an Evidential Reasoning Approach for Portfolio Assessments in a Project-Based Learning Engineering Design Course

    Science.gov (United States)

    Jaeger, Martin; Adair, Desmond

    2015-01-01

    The purpose of this study is to analyse the feasibility of an evidential reasoning (ER) method for portfolio assessments and comparison of the results found with those based on a traditional holistic judgement. An ER approach has been incorporated into portfolio assessment of an undergraduate engineering design course delivered as a project-based…

  18. Effects of Sequenced Kodaly Literacy-Based Music Instruction on the Spatial Reasoning Skills of Kindergarten Students

    Science.gov (United States)

    Hanson, Marlene

    2003-01-01

    This study was an investigation of the effects of sequenced Kodaly literacy-based music instruction on the spatial reasoning skills of kindergarten students. Subjects in the pretest-posttest control group design were 54 kindergarten students who were enrolled in three kindergarten classes in a rural elementary community school. Experimental group…

  19. Model for Bidding and Tendering with Bill of Quantities Based on Bid-Winning Estimate at Reasonable Low Price

    Institute of Scientific and Technical Information of China (English)

    Song Jirong; Zhong Sheng; Guo Yaohuang

    2006-01-01

    The possibility and rationality of introducing an bid-winning estimate based on a reasonable low price into construction bidding mode with bill of quantities were analyzed by setting up a model for bidding and tendering, and the functions of the estimate of reasonable low price in the bidding were revealed. On this basis, a new bidding mode of the project with bill of quantities was proposed. The application of the new mode will be advantageous to the promotion of the bill of quantities in China.

  20. Diversity effect in category-based inductive reasoning of young children: evidence from two methods.

    Science.gov (United States)

    Zhong, Luojin; Lee, Myung Sook; Huang, Yulan; Mo, Lei

    2014-02-01

    Previous studies have shown that diverse pieces of evidence, rather than similar pieces of evidence, are considered to have greater strength in adults' inductive reasoning. However, this diversity effect is inconsistently recognized by children. Three experiments using the same materials but different tasks examined whether young children consider the diversity principle in their reasoning. Although Experiment 1 applied a data selection task showed five-year-old children in both China and Korea were not sensitive to the diversity of evidence, Experiments 2 and 3 employed an identification task and demonstrated that children as young as five years were sensitive to diverse evidence. These findings indicated that young children, less than nine years of age, may have diversity effect. Methodological and cultural differences were discussed.

  1. Reciprocity-based reasons for benefiting research participants: most fail, the most plausible is problematic.

    Science.gov (United States)

    Sofaer, Neema

    2014-11-01

    A common reason for giving research participants post-trial access (PTA) to the trial intervention appeals to reciprocity, the principle, stated most generally, that if one person benefits a second, the second should reciprocate: benefit the first in return. Many authors consider it obvious that reciprocity supports PTA. Yet their reciprocity principles differ, with many authors apparently unaware of alternative versions. This article is the first to gather the range of reciprocity principles. It finds that: (1) most are false. (2) The most plausible principle, which is also problematic, applies only when participants experience significant net risks or burdens. (3) Seldom does reciprocity support PTA for participants or give researchers stronger reason to benefit participants than equally needy non-participants. (4) Reciprocity fails to explain the common view that it is bad when participants in a successful trial have benefited from the trial intervention but lack PTA to it.

  2. A simple reason based on supersymmetry for replication of chiral families

    Science.gov (United States)

    Babu, K. S.; Pati, Jogesh C.; Stremnitzer, Hanns

    1991-03-01

    In the context of the minimal flavon-chromon preon model, we show that supersymmetry, because of fermion-boson pairing in its field content, provides a rather simple reason for replication of composite quark-lepton families. At the level of minimum number of core constituents, which turns out to be three, it also provides a good reason why one may expect to have just three light chiral families. One crucial prediction is that there must exist complete vector-like families with mass of order 1 TeV for quark-like and few hundred GeV for lepton-like members. This can be tested at SSC, LHC and future high energy e-e+ machines.

  3. CASE-BASED PRODUCT CONFIGURATION AND REUSE IN MASS CUSTOMIZATION

    Institute of Scientific and Technical Information of China (English)

    Wang Shiwei; Tan Jianrong; Zhang Shuyou; Wang Xin; He Chenqi

    2004-01-01

    The increasing complexity and size of configuration knowledge bases requires the provision of advanced methods supporting the development of the actual configuration process and design reuse.A new framework to find a feasible and practical product configuration method is presented in mass customization.The basic idea of the approach is to integrate case-based reasoning (CBR) with a constraint satisfaction problem(CSP).The similarity measure between a crisp and range is also given,which is common in case retrieves.Based on the configuration model,a product platform and customer needs,case adaptation is carried out with the repair-based algorithm.Lastly,the methodology in the elevator configuration design domain is tested.

  4. Management accountants as business partners : An empirical analysis based on the theory of reasoned action

    OpenAIRE

    Wolf, Sebastian; Barbara E. Weißenberger; Kabst, Rüdiger; Wehner, Sebastian

    2010-01-01

    Business practice and literature frequently advocate more business oriented roles for management accountants. The aim of this study is to examine reasons for management accountants to act as business partners and to analyze corresponding performance effects. More specifically, two research questions are investigated: (i) why do management accountants act as business partners, and (ii) are business oriented management accountants beneficial to organizations? To answer these research questio...

  5. Proportional reasoning

    DEFF Research Database (Denmark)

    Dole, Shelley; Hilton, Annette; Hilton, Geoff

    2015-01-01

    Proportional reasoning is widely acknowledged as a key to success in school mathematics, yet students’ continual difficulties with proportion-related tasks are well documented. This paper draws on a large research study that aimed to support 4th to 9th grade teachers to design and implement tasks...... to foster students’ proportional reasoning. Classroom data revealed limited initial teacher knowledge and awareness of the pervasive nature of proportional reasoning required in the mathematics curriculum. Teacher capacity to seize teachable moments for building students’ proportional reasoning skills...... increased throughout the project. From this background, this paper presents an analysis of the proportional reasoning demands and opportunities of topics within the school mathematics curriculum in Australia. Implications for the study of whole number arithmetic (WNA) and other topics to promote...

  6. Drawing-to-learn: a framework for using drawings to promote model-based reasoning in biology.

    Science.gov (United States)

    Quillin, Kim; Thomas, Stephen

    2015-03-02

    The drawing of visual representations is important for learners and scientists alike, such as the drawing of models to enable visual model-based reasoning. Yet few biology instructors recognize drawing as a teachable science process skill, as reflected by its absence in the Vision and Change report's Modeling and Simulation core competency. Further, the diffuse research on drawing can be difficult to access, synthesize, and apply to classroom practice. We have created a framework of drawing-to-learn that defines drawing, categorizes the reasons for using drawing in the biology classroom, and outlines a number of interventions that can help instructors create an environment conducive to student drawing in general and visual model-based reasoning in particular. The suggested interventions are organized to address elements of affect, visual literacy, and visual model-based reasoning, with specific examples cited for each. Further, a Blooming tool for drawing exercises is provided, as are suggestions to help instructors address possible barriers to implementing and assessing drawing-to-learn in the classroom. Overall, the goal of the framework is to increase the visibility of drawing as a skill in biology and to promote the research and implementation of best practices.

  7. Extending Agent Based Telehealth Platform with Activities of Daily Living Reasoning Capabilities

    DEFF Research Database (Denmark)

    Jørgensen, Daniel Bjerring; Hallenborg, Kasper; Demazeau, Yves

    it will influence his or her everyday live. Therefore we believe that a telehealth system shall adapt its behavior so that it will not be a burden for the patient/resident to use. To this aim we have extended an existing telehealth platform to reason about activities of daily living in a smart home scenario......In the future patients will have a more active role in strengthening and maintaining their own health. Telehealth can empower and motivate patients by giving them the chance to stay in their own homes instead of going to the hospital. A telehealth system is deployed in a patient’s home hence...

  8. Argumentation-Based Non-Monotonic Reasoning of Agents%基于论辩的Agent非单调推理

    Institute of Scientific and Technical Information of China (English)

    廖备水; 代建华

    2012-01-01

    现有的Agent信念修正、慎思、手段-目的推理等理论和方法大多基于经典一阶逻辑,对不完全的、不一致的知识,缺乏有效的处理机制.基于论辩的Agent非单调推理(包括认识推理和实践推理)理论和方法有望弥补这个不足.不过,作为一个新的研究方向,其基本概念、理论、方法及存在的关键性问题尚有待于澄清和梳理.文中首先介绍论辩的基本概念.在此基础上,分析基于论辩的Agent非单调推理的最新研究进展.最后,讨论存在的关键性问题并指出可能的研究方向.%Most of existing theories and methods for belief revision, deliberation, means-ends reasoning etc. are based on classical first order logic, and therefore effective mechanisms are absent in handling incomplete and inconsistent knowledge. Argumentation-based non-monotonic reasoning, including epistemic reasoning and practical reasoning, has become a promising theory to solve the above-mentioned problem. However, as an emerging research area, the basic notions, theories, methods, as well as the existing research problems, are still unclear. In this paper, after presenting the basic notions of argumentation, the recent development of argumentation-based non-monotonic reasoning of agents is analyzed. Finally, some challenging problems are discussed, and the possible future work is pointed out.

  9. Ontology-based concept map learning path reasoning system using SWRL rules

    Energy Technology Data Exchange (ETDEWEB)

    Chu, K.-K.; Lee, C.-I. [National Univ. of Tainan, Taiwan (China). Dept. of Computer Science and Information Learning Technology

    2010-08-13

    Concept maps are graphical representations of knowledge. Concept mapping may reduce students' cognitive load and extend simple memory function. The purpose of this study was on the diagnosis of students' concept map learning abilities and the provision of personally constructive advice dependant on their learning path and progress. Ontology is a useful method with which to represent and store concept map information. Semantic web rule language (SWRL) rules are easy to understand and to use as specific reasoning services. This paper discussed the selection of grade 7 lakes and rivers curriculum for which to devise a concept map learning path reasoning service. The paper defined a concept map e-learning ontology and two SWRL semantic rules, and collected users' concept map learning path data to infer implicit knowledge and to recommend the next learning path for users. It was concluded that the designs devised in this study were feasible and advanced and the ontology kept the domain knowledge preserved. SWRL rules identified an abstraction model for inferred properties. Since they were separate systems, they did not interfere with each other, while ontology or SWRL rules were maintained, ensuring persistent system extensibility and robustness. 15 refs., 1 tab., 8 figs.

  10. An approximate-reasoning-based method for screening high-level waste tanks for flammable gas

    Energy Technology Data Exchange (ETDEWEB)

    Eisenhawer, S.W.; Bott, T.F.; Smith, R.E.

    1998-07-01

    The in situ retention of flammable gas produced by radiolysis and thermal decomposition in high-level waste can pose a safety problem if the gases are released episodically into the dome space of a storage tank. Screening efforts at Hanford have been directed at identifying tanks in which this situation could exist. Problems encountered in screening motivated an effort to develop an improved screening methodology. Approximate reasoning (AR) is a formalism designed to emulate the kinds of complex judgments made by subject matter experts. It uses inductive logic structures to build a sequence of forward-chaining inferences about a subject. AR models incorporate natural language expressions known as linguistic variables to represent evidence. The use of fuzzy sets to represent these variables mathematically makes it practical to evaluate quantitative and qualitative information consistently. The authors performed a pilot study to investigate the utility of AR for flammable gas screening. They found that the effort to implement such a model was acceptable and that computational requirements were reasonable. The preliminary results showed that important judgments about the validity of observational data and the predictive power of models could be made. These results give new insights into the problems observed in previous screening efforts.

  11. Particular Reasons

    OpenAIRE

    Berker, Selim

    2007-01-01

    Moral particularists argue that because reasons for action are irreducibly context-dependent, the traditional quest in ethics for true and exceptionless moral principles is hopelessly misguided. In making this claim, particularists assume a general framework according to which reasons are the ground floor normative units undergirding all other normative properties and relations. They then argue that there is no cashing out in finite terms either (i) when a given non-normative feature gives ri...

  12. Aspects affecting occupational therapists' reasoning when implementing research-based evidence in stroke rehabilitation

    DEFF Research Database (Denmark)

    Kristensen, Hanne Kaae; Borg, Tove; Hounsgaard, Lise

    2012-01-01

    and knowledge use in order to develop their practice knowledge and new skills. Moreover personal values and clinical experiences influenced clinical reasoning. Current knowledge of the importance of local cultures and leadership was reinforced. CONCLUSION: The influence of professional values...... in the occupational therapists' local cultures was a substantial factor in the implementation processes. In addition personal values and clinical experiences influenced professional decision-making. Furthermore, the study reinforced current knowledge of the importance of culture and leadership in implementation......, and six focus-group interviews. RESULTS: New knowledge concerning the substantial influence of professional values in the occupational therapists' local cultures was indicated. It was of importance that the therapists as a group are given the opportunity to explicit and critically appraise values...

  13. Linguistic hesitant fuzzy multi-criteria decision-making method based on evidential reasoning

    Science.gov (United States)

    Zhou, Huan; Wang, Jian-qiang; Zhang, Hong-yu; Chen, Xiao-hong

    2016-01-01

    Linguistic hesitant fuzzy sets (LHFSs), which can be used to represent decision-makers' qualitative preferences as well as reflect their hesitancy and inconsistency, have attracted a great deal of attention due to their flexibility and efficiency. This paper focuses on a multi-criteria decision-making approach that combines LHFSs with the evidential reasoning (ER) method. After reviewing existing studies of LHFSs, a new order relationship and Hamming distance between LHFSs are introduced and some linguistic scale functions are applied. Then, the ER algorithm is used to aggregate the distributed assessment of each alternative. Subsequently, the set of aggregated alternatives on criteria are further aggregated to get the overall value of each alternative. Furthermore, a nonlinear programming model is developed and genetic algorithms are used to obtain the optimal weights of the criteria. Finally, two illustrative examples are provided to show the feasibility and usability of the method, and comparison analysis with the existing method is made.

  14. Sufficient reason and reason enough

    CERN Document Server

    Romero, Gustavo E

    2014-01-01

    I offer an analysis of the Principle of Sufficient Reason and its relevancy for the scientific endeavour. I submit that the world is not, and cannot be, rational - only some brained beings are. The Principle of Sufficient Reason is not a necessary truth nor a physical law. It is just a guiding metanomological hypothesis justified a posteriori by its success in helping us to unveil the mechanisms that operate in Nature.

  15. Development of Category-Based Reasoning in 4- to 7-Year-Old Children: The Influence of Label Co-Occurrence and Kinship Knowledge

    Science.gov (United States)

    Godwin, Karrie E.; Matlen, Bryan J.; Fisher, Anna V.

    2013-01-01

    Category-based reasoning is central to mature cognition; however, the developmental course of this ability remains contested. One strong indicator of category-based reasoning is the propensity to make inferences based on semantically similar labels. Recent evidence indicates that in preschool-age children the effects of semantically similar labels…

  16. 26 CFR 1.167(l)-1 - Limitations on reasonable allowance in case of property of certain public utilities.

    Science.gov (United States)

    2010-04-01

    ..., for example, the straight line method or a unit of production method or machine-hour method. The term... limitations on the use of certain methods of computing a reasonable allowance for depreciation under section... general, the use of a method of depreciation other than a subsection (l) method is not prohibited...

  17. A Qualitative Study on Classroom Management and Classroom Discipline Problems, Reasons, and Solutions: A Case of Information Technologies Class

    Science.gov (United States)

    Erdogan, Mehmet; Kursun, Engin; Sisman, Gulcin Tan; Saltan, Fatih; Gok, Ali; Yildiz, Ismail

    2010-01-01

    The purpose of this study was to investigate classroom management and discipline problems that Information Technology teachers have faced, and to reveal underlying reasons and possible solutions of these problems by considering the views of parents, teachers, and administrator. This study was designed as qualitative study. Subjects of this study…

  18. Reasons for and Countermeasures against Gradient Transfer of Rural Population——A Case Study of Chongqing

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    We take Chongqing as an example to analyze reasons for rural population gradient transfer from such factors as social system,industrial development,urban planning,and living costs.Finally,we present four policies and suggestions,including promoting urban construction,increasing investment in rural areas,pushing forward construction of labor market,and bringing safeguarding function into full play.

  19. Diagrammatic Reasoning

    DEFF Research Database (Denmark)

    Tylén, Kristian; Fusaroli, Riccardo; Stege Bjørndahl, Johanne

    2015-01-01

    Many types of everyday and specialized reasoning depend on diagrams: we use maps to find our way, we draw graphs and sketches to communicate concepts and prove geometrical theorems, and we manipulate diagrams to explore new creative solutions to problems. The active involvement and manipulation...... of representational artifacts for purposes of thinking and communicating is discussed in relation to C.S. Peirce’s notion of diagrammatical reasoning. We propose to extend Peirce’s original ideas and sketch a conceptual framework that delineates different kinds of diagram manipulation: Sometimes diagrams...

  20. A cloud-based multimodality case file for mobile devices.

    Science.gov (United States)

    Balkman, Jason D; Loehfelm, Thomas W

    2014-01-01

    Recent improvements in Web and mobile technology, along with the widespread use of handheld devices in radiology education, provide unique opportunities for creating scalable, universally accessible, portable image-rich radiology case files. A cloud database and a Web-based application for radiologic images were developed to create a mobile case file with reasonable usability, download performance, and image quality for teaching purposes. A total of 75 radiology cases related to breast, thoracic, gastrointestinal, musculoskeletal, and neuroimaging subspecialties were included in the database. Breast imaging cases are the focus of this article, as they best demonstrate handheld display capabilities across a wide variety of modalities. This case subset also illustrates methods for adapting radiologic content to cloud platforms and mobile devices. Readers will gain practical knowledge about storage and retrieval of cloud-based imaging data, an awareness of techniques used to adapt scrollable and high-resolution imaging content for the Web, and an appreciation for optimizing images for handheld devices. The evaluation of this software demonstrates the feasibility of adapting images from most imaging modalities to mobile devices, even in cases of full-field digital mammograms, where high resolution is required to represent subtle pathologic features. The cloud platform allows cases to be added and modified in real time by using only a standard Web browser with no application-specific software. Challenges remain in developing efficient ways to generate, modify, and upload radiologic and supplementary teaching content to this cloud-based platform. Online supplemental material is available for this article.

  1. KaM_CRK: Clustering and Ranking Knowledge for Reasonable Results Based on Behaviors and Contexts

    Directory of Open Access Journals (Sweden)

    Changhong Hu

    2013-01-01

    Full Text Available A model named KaM_CRK is proposed, which can supply the clustered and ranked knowledge to the users on different contexts. By comparing the attributes of contexts and JANs, our findings indicate that our model can accumulate the JANs, whose attributes are similar with the user’s contexts, together. By applying the KaM_CLU algorithm and Centre rank strategy into the KaM_CRK model, the model boosts a significant promotion on the accuracy of provision of user's knowledge. By analyzing the users' behaviors, the dynamic coefficient BehaviorF is first presented in KaM_CLU. Compared to traditional approaches of K_means and DBSCAN, the KaM_CLU algorithm does not need to initialize the number of clusters. Additionally, its synthetic results are more accurate, reasonable, and fit than other approaches for users. It is known from our evaluation through real data that our strategy performs better on time efficiency and user's satisfaction, which will save by 30% and promote by 5%, respectively.

  2. AN OPTIMUM VEHICULAR PATH ALGORITHM FOR TRAFFIC NETWORK BASED ON HIERARCHICAL SPATIAL REASONING

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Human beings' intellection is the characteristic of a distinct hierarchy and can be taken to construct a heuristic in the shortest path algorithms.It is detailed in this paper how to utilize the hierarchical reasoning on the basis of greedy and directional strategy to establish a spatial heuristic,so as to improve running efficiency and suitability of shortest path algorithm for traffic network.The authors divide urban traffic network into three hierarchies and set forward a new node hierarchy division rule to avoid the unreliable solution of shortest path.It is argued that the shortest path,no matter distance shortest or time shortest,is usually not the favorite of drivers in practice.Some factors difficult to expect or quantify influence the drivers' choice greatly.It makes the drivers prefer choosing a less shortest,but more reliable or flexible path to travel on.The presented optimum path algorithm,in addition to the improvement of the running efficiency of shortest path algorithms up to several times,reduces the emergence of those factors,conforms to the intellection characteristic of human beings,and is more easily accepted by drivers.Moreover,it does not require the completeness of networks in the lowest hierarchy and the applicability and fault tolerance of the algorithm have improved.The experiment result shows the advantages of the presented algorithm.The authors argued that the algorithm has great potential application for navigation systems of large-scale traffic networks.

  3. Verbal Reasoning

    Science.gov (United States)

    1992-08-31

    Psicologia , 4(3), 183-198. 94 Guyote, M.J. and Sternberg, R.J. (1981). A transitive-chain theory of syllogistic reasoning. Cognitive Psychology, 13(4), 461...personal connections. Journal of Social Psychology, 20, 39-59. Newell, A. (1990). Unified Theories of Cognition. Cambridge, Massachusetts: Harvard

  4. Formalizing Default Reasoning

    Institute of Scientific and Technical Information of China (English)

    1990-01-01

    Fuzzy set systems can be used to solve the problem with uncertain knowledge,and default logic can be used to solve the problem with incomplete knowledge,in some sense.In this paper,based on interval-valued fuzzy sets we introduce a method of inference which combines approximate reasoning an default ogic,and give the procedure of transforming monotonic reasoning into default reasoning.

  5. Hong Kong Grade 6 Students' Performance and Mathematical Reasoning in Decimals Tasks: Procedurally Based or Conceptually Based?

    Science.gov (United States)

    Lai, Mun Yee; Murray, Sara

    2015-01-01

    Most studies of students' understanding of decimals have been conducted within Western cultural settings. The broad aim of the present research was to gain insight into Chinese Hong Kong grade 6 students' general performance on a variety of decimals tasks. More specifically, the study aimed to explore students' mathematical reasoning for their use…

  6. Logical Varieties in Normative Reasoning

    CERN Document Server

    Burgin, Mark; Mestdagh, de Vey

    2011-01-01

    Although conventional logical systems based on logical calculi have been successfully used in mathematics and beyond, they have definite limitations that restrict their application in many cases. For instance, the principal condition for any logical calculus is its consistency. At the same time, knowledge about large object domains (in science or in practice) is essentially inconsistent. Logical prevarieties and varieties were introduced to eliminate these limitations in a logically correct way. In this paper, the Logic of Reasonable Inferences is described. This logic has been applied successfully to model legal reasoning with inconsistent knowledge. It is demonstrated that this logic is a logical variety and properties of logical varieties related to legal reasoning are developed.

  7. Case-based Agile Fixture Design

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    In order to realize the agility of the fixture design, such asreconfigurability, rescalability and reusability, fixture structure is function unit-based decomposed from a fire-new point of view. Which makes it easy for agile fixture to be reconfigured and modified. Thereby, the base of case-based agile fixture design system info is established.Whole case-based agile fixture design model is presented. In which, three modules are added relative to the other models, including case matching of fixture planning module, conflict arbitration module and agile fixture case modify module. The three modules could solve the previous problem that the experience and result are difficult to be reused in the process of design.Two key techniques in the process of the agile fixture design, the evaluation of case similarity, and restriction-based conflict arbitration, are listed. And some methods are presented to evaluate the similarity and clear up the conflict.

  8. Instructors’ reasons for choosing problem features in a calculus-based introductory physics course

    Directory of Open Access Journals (Sweden)

    Edit Yerushalmi

    2010-08-01

    Full Text Available This study investigates how the beliefs and values of physics faculty influence their choice of physics problems for their students in an introductory physics course. The study identifies the goals these instructors have for their students, the problem features they believe facilitate those goals, and how those features correspond to problems they choose to use in their classes. This analysis comes from an artifact-based interview of 30 physics faculty teaching introductory calculus-based physics at a wide variety of institutions. The study concludes that instructors’ goals and the problem features they believe support those goals align with research-based curricular materials intended to develop competent problem solvers. However, many of these instructors do not use the beneficial problem features because they believe these features conflict with a more powerful set of values concerned with clarity of presentation and minimizing student stress, especially on exams.

  9. Knowledge Representation and Reasoning in Personalized Web-Based e-Learning Applications

    DEFF Research Database (Denmark)

    Dolog, Peter

    2006-01-01

    Adaptation that is so natural for teaching by humans is a challenging issue for electronic learning tools. Adaptation in classic teaching is based on observations made about students during teaching. Similar idea was employed in user-adapted (personalized) eLearning applications. Knowledge about...

  10. Measuring Relational Reasoning

    Science.gov (United States)

    Alexander, Patricia A.; Dumas, Denis; Grossnickle, Emily M.; List, Alexandra; Firetto, Carla M.

    2016-01-01

    Relational reasoning is the foundational cognitive ability to discern meaningful patterns within an informational stream, but its reliable and valid measurement remains problematic. In this investigation, the measurement of relational reasoning unfolded in three stages. Stage 1 entailed the establishment of a research-based conceptualization of…

  11. Reasoning, logic, and psychology.

    Science.gov (United States)

    Stenning, Keith; van Lambalgen, Michiel

    2011-09-01

    We argue that reasoning has been conceptualized so narrowly in what is known as 'psychology of reasoning' that reasoning's relevance to cognitive science has become well-nigh invisible. Reasoning is identified with determining whether a conclusion follows validly from given premises, where 'valid' is taken to mean 'valid according to classical logic'. We show that there are other ways to conceptualize reasoning, more in line with current logical theorizing, which give it a role in psychological processes ranging from (verbal) discourse comprehension to (nonverbal) planning. En route we show that formal logic, at present marginalized in cognitive science, can be an extremely valuable modeling tool. In particular, there are cases in which probabilistic modeling must fail, whereas logical models do well. WIREs Cogni Sci 2011 2 555-567 DOI: 10.1002/wcs.134 For further resources related to this article, please visit the WIREs website.

  12. Learning clinical reasoning.

    Science.gov (United States)

    Pinnock, Ralph; Welch, Paul

    2014-04-01

    Errors in clinical reasoning continue to account for significant morbidity and mortality, despite evidence-based guidelines and improved technology. Experts in clinical reasoning often use unconscious cognitive processes that they are not aware of unless they explain how they are thinking. Understanding the intuitive and analytical thinking processes provides a guide for instruction. How knowledge is stored is critical to expertise in clinical reasoning. Curricula should be designed so that trainees store knowledge in a way that is clinically relevant. Competence in clinical reasoning is acquired by supervised practice with effective feedback. Clinicians must recognise the common errors in clinical reasoning and how to avoid them. Trainees can learn clinical reasoning effectively in everyday practice if teachers provide guidance on the cognitive processes involved in making diagnostic decisions.

  13. Taxonomies for Reasoning About Cyber-physical Attacks in IoT-based Manufacturing Systems

    Directory of Open Access Journals (Sweden)

    Yao Pan

    2017-03-01

    Full Text Available The Internet of Things (IoT has transformed many aspects of modern manufacturing, from design to production to quality control. In particular, IoT and digital manufacturing technologies have substantially accelerated product development- cycles and manufacturers can now create products of a complexity and precision not heretofore possible. New threats to supply chain security have arisen from connecting machines to the Internet and introducing complex IoT-based systems controlling manufacturing processes. By attacking these IoT-based manufacturing systems and tampering with digital files, attackers can manipulate physical characteristics of parts and change the dimensions, shapes, or mechanical properties of the parts, which can result in parts that fail in the field. These defects increase manufacturing costs and allow silent problems to occur only under certain loads that can threaten safety and/or lives. To understand potential dangers and protect manufacturing system safety, this paper presents two taxonomies: one for classifying cyber-physical attacks against manufacturing processes and another for quality control measures for counteracting these attacks. We systematically identify and classify possible cyber-physical attacks and connect the attacks with variations in manufacturing processes and quality control measures. Our taxonomies also provide a scheme for linking emerging IoT-based manufacturing system vulnerabilities to possible attacks and quality control measures.

  14. The Extent of and Reasons for Non Re-Enrollment: A Case of Korea National Open University

    Directory of Open Access Journals (Sweden)

    Hyoseon Choi

    2013-09-01

    Full Text Available Despite continuous efforts to increase retention, dropout rates are high in distance universities. The objectives of this study were: 1 to investigate the extent and causes of non re-enrollment at a mega university, Korea National Open University; and 2 to suggest actions to improve the retention of students, in general, and those with higher risks of dropout in particular. A survey designed to establish the student demographics and the students’ main reasons for non re-enrollment was carried out during spring, 2009 with 1,353 respondents. The results indicate that a lack of feedback from the instructors, heavy workload, and difficulties in studying at a distance were the main reasons for non re-enrollment. The learners’ perceptions of the value of the degrees and their ages, gender, and educational backgrounds were also found to be significant factors in decisions not to re-enroll. The suggested solutions for reducing non re-enrollment include: a decrease in the number of required credit hours’ study per semester; the provision of stronger social support; the introduction of a more flexible enrollment system; and better use of the available technology and infrastructure to help both students and instructors build stronger learning communities.

  15. Modular robotic intelligence system based on fuzzy reasoning and state machine sequencing

    Science.gov (United States)

    Sights, B.; Ahuja, G.; Kogut, G.; Pacis, E. B.; Everett, H. R.; Fellars, D.; Hardjadinata, S.

    2007-04-01

    The fusion of multiple behavior commands and sensor data into intelligent and cohesive robotic movement has been the focus of robot research for many years. Sequencing low level behaviors to create high level intelligence has also been researched extensively. Cohesive robotic movement is also dependent on other factors, such as environment, user intent, and perception of the environment. In this paper, a method for managing the complexity derived from the increase in sensors and perceptions is described. Our system uses fuzzy logic and a state machine to fuse multiple behaviors into an optimal response based on the robot's current task. The resulting fused behavior is filtered through fuzzy logic based obstacle avoidance to create safe movement. The system also provides easy integration with any communications protocol, plug-and-play devices, perceptions, and behaviors. Most behaviors and the obstacle avoidance parameters are easily changed through configuration files. Combined with previous work in the area of navigation and localization a very robust autonomy suite is created.

  16. On reasoning in networks with qualitative uncertainty

    OpenAIRE

    Parsons, Simon; Mamdani, E. H.

    2013-01-01

    In this paper some initial work towards a new approach to qualitative reasoning under uncertainty is presented. This method is not only applicable to qualitative probabilistic reasoning, as is the case with other methods, but also allows the qualitative propagation within networks of values based upon possibility theory and Dempster-Shafer evidence theory. The method is applied to two simple networks from which a large class of directed graphs may be constructed. The results of this analysis ...

  17. Phase errors elimination in compact digital holoscope (CDH) based on a reasonable mathematical model

    Science.gov (United States)

    Wen, Yongfu; Qu, Weijuan; Cheng, Cheeyuen; Wang, Zhaomin; Asundi, Anand

    2015-03-01

    In the compact digital holoscope (CDH) measurement process, theoretically, we need to ensure the distances between the reference wave and object wave to the hologram plane exactly match. However, it is not easy to realize in practice due to the human factors. This can lead to a phase error in the reconstruction result. In this paper, the strict theoretical analysis of the wavefront interference is performed to demonstrate the mathematical model of the phase error and then a phase errors elimination method is proposed based on the advanced mathematical model, which has a more explicit physical meaning. Experiments are carried out to verify the performance of the presented method and the results indicate that it is effective and allows the operator can make operation more flexible.

  18. Drug utilization according to reason for prescribing: a pharmacoepidemiologic method based on an indication hierarchy

    DEFF Research Database (Denmark)

    Kildemoes, Helle Wallach; Hendriksen, Carsten; Morten, Andersen

    2011-01-01

    ABSTRACT Purpose To develop a pharmacoepidemiologic method for drug utilization analysis according to indication, gender, and age by means of register-based information. Statin utilization in 2005 was applied as an example. Methods Following the recommendations for statin therapy, we constructed...... an indication hierarchy with eight mutually exclusive levels of register markers of cardiovascular disease and diabetes. Danish residents, as of January 1, 1996, were followed at the individual level in nationwide registers with respect to dispensed prescriptions of cardiovascular drugs and antidiabetics (1996...... with no register marker or primary hypertension accounted for almost 50% of all incident female users; among men, the figure was 35%. The proportion of incident users with ischemic heart disease or myocardial infarction increased with age. Conclusion The proposed indication hierarchy provided new insight...

  19. SemantGeo: Powering Ecological and Environment Data Discovery and Search with Standards-Based Geospatial Reasoning

    Science.gov (United States)

    Seyed, P.; Ashby, B.; Khan, I.; Patton, E. W.; McGuinness, D. L.

    2013-12-01

    Recent efforts to create and leverage standards for geospatial data specification and inference include the GeoSPARQL standard, Geospatial OWL ontologies (e.g., GAZ, Geonames), and RDF triple stores that support GeoSPARQL (e.g., AllegroGraph, Parliament) that use RDF instance data for geospatial features of interest. However, there remains a gap on how best to fuse software engineering best practices and GeoSPARQL within semantic web applications to enable flexible search driven by geospatial reasoning. In this abstract we introduce the SemantGeo module for the SemantEco framework that helps fill this gap, enabling scientists find data using geospatial semantics and reasoning. SemantGeo provides multiple types of geospatial reasoning for SemantEco modules. The server side implementation uses the Parliament SPARQL Endpoint accessed via a Tomcat servlet. SemantGeo uses the Google Maps API for user-specified polygon construction and JsTree for providing containment and categorical hierarchies for search. SemantGeo uses GeoSPARQL for spatial reasoning alone and in concert with RDFS/OWL reasoning capabilities to determine, e.g., what geofeatures are within, partially overlap with, or within a certain distance from, a given polygon. We also leverage qualitative relationships defined by the Gazetteer ontology that are composites of spatial relationships as well as administrative designations or geophysical phenomena. We provide multiple mechanisms for exploring data, such as polygon (map-based) and named-feature (hierarchy-based) selection, that enable flexible search constraints using boolean combination of selections. JsTree-based hierarchical search facets present named features and include a 'part of' hierarchy (e.g., measurement-site-01, Lake George, Adirondack Region, NY State) and type hierarchies (e.g., nodes in the hierarchy for WaterBody, Park, MeasurementSite), depending on the ';axis of choice' option selected. Using GeoSPARQL and aforementioned ontology

  20. Multi-Modal Reasoning Medical Diagnosis System Integrated With Probabilistic Reasoning

    Institute of Scientific and Technical Information of China (English)

    Jia Tian; Xun Chen; Sheng-Ping Dong

    2005-01-01

    In this paper, a Multi Modal Reasoning (MMR) method integrated with probabilistic reasoning is proposed for the diagnosis support module of the open eHealth platform. MMR is based on both Rule Based Reasoning (RBR) and Case Based Reasoning (CBR). It is not only applied to the identification of diseases and syndromes based on medical guidelines,but also deals with exceptional cases and individual therapies in order to improve diagnostic accuracy. Moreover, a new rule expression frame is introduced to deal with uncertainty, which can represent and process vague, imprecise, and incomplete information. Furthermore, this system is capable of updating the attributes of rules and inducing rules with a small data sample.

  1. The Christological Ontology of Reason

    DEFF Research Database (Denmark)

    Nissen, Ulrik Becker

    2006-01-01

    Taking the startingpoint in an assertion of an ambiguity in the Lutheran tradition’s assessment of reason, the essay argues that the Kantian unreserved confidence in reason is criticised in Bonhoeffer. Based upon a Christological understanding of reason, Bonhoeffer endorses a view of reason which...

  2. Model-based reasoning: using visual tools to reveal student learning.

    Science.gov (United States)

    Luckie, Douglas; Harrison, Scott H; Ebert-May, Diane

    2011-03-01

    Using visual models is common in science and should become more common in classrooms. Our research group has developed and completed studies on the use of a visual modeling tool, the Concept Connector. This modeling tool consists of an online concept mapping Java applet that has automatic scoring functions we refer to as Robograder. The Concept Connector enables students in large introductory science courses to visualize their thinking through online model building. The Concept Connector's flexible scoring system, based on tested grading schemes as well as instructor input, has enabled >1,000 physiology students to build maps of their ideas about plant and animal physiology with the guidance of automatic and immediate online scoring of homework. Criterion concept maps developed by instructors in this project contain numerous expert-generated or "correct" propositions connecting two concept words together with a linking phrase. In this study, holistic algorithms were used to test automated methods of scoring concept maps that might work as well as a human grader.

  3. Professional Perceptions and Reasons for Access to Journalism Studies. The Case of Journalism Students at Complutense University of Madrid

    Directory of Open Access Journals (Sweden)

    Miriam RODRÍGUEZ PALLARES

    2015-12-01

    Full Text Available In the academic year 2013-2014, the MediaCom UCM research group conducted a study among students in the first and fourth year of the Degree in Journalism at UCM with the pretention to know the reasons that they decided to pursue these studies, their perceptions of journalism and media influence. From a quantitative analysis model relatively vocational criteria among students are perceived; generally they believe that journalists are not very independent and that political and economic factors influence in the activity of the media sector, whose influence on policy choices and consumption is subject to debate. This article is part of an academic project, whose results are intended to work with universities to improve their teaching and training model of students according to their perception of journalism as a profession.

  4. CaseWorld™: Interactive, media rich, multidisciplinary case based learning.

    Science.gov (United States)

    Gillham, David; Tucker, Katie; Parker, Steve; Wright, Victoria; Kargillis, Christina

    2015-11-01

    Nurse educators are challenged to keep up with highly specialised clinical practice, emerging research evidence, regulation requirements and rapidly changing information technology while teaching very large numbers of diverse students in a resource constrained environment. This complex setting provides the context for the CaseWorld project, which aims to simulate those aspects of clinical practice that can be represented by e-learning. This paper describes the development, implementation and evaluation of CaseWorld, a simulated learning environment that supports case based learning. CaseWorld provides nursing students with the opportunity to view unfolding authentic cases presented in a rich multimedia context. The first round of comprehensive summative evaluation of CaseWorld is discussed in the context of earlier formative evaluation, reference group input and strategies for integration of CaseWorld with subject content. This discussion highlights the unique approach taken in this project that involved simultaneous prototype development and large scale implementation, thereby necessitating strong emphasis on staff development, uptake and engagement. The lessons learned provide an interesting basis for further discussion of broad content sharing across disciplines and universities, and the contribution that local innovations can make to global education advancement.

  5. Transforming Spatial Reasoning Skills in the Undergraduate Geoscience Classroom Through Interventions Based on Cognitive Science Research

    Science.gov (United States)

    Ormand, C. J.; Shipley, T. F.; Tikoff, B.; Manduca, C. A.; Dutrow, B. L.; Goodwin, L. B.; Hickson, T.; Atit, K.; Gagnier, K. M.; Resnick, I.

    2013-12-01

    Spatial visualization is an essential skill in many, if not all, STEM disciplines. It is a prerequisite for understanding subjects as diverse as fluid flow through 3D fault systems, magnetic and gravitational fields, atmospheric and oceanic circulation patterns, cellular and molecular structures, engineering design, topology, and much, much more. Undergraduate geoscience students, in both introductory and upper-level courses, bring a wide range of spatial skill levels to the classroom. However, spatial thinking improves with practice, and can improve more rapidly with intentional training. As a group of geoscience faculty members and cognitive psychologists, we are collaborating to apply the results of cognitive science research to the development of teaching materials to improve undergraduate geology majors' spatial thinking skills. This approach has the potential to transform undergraduate STEM education by removing one significant barrier to success in the STEM disciplines. Two promising teaching strategies have emerged from recent cognitive science research into spatial thinking: gesturing and predictive sketching. Studies show that students who gesture about spatial relationships perform better on spatial tasks than students who don't gesture, perhaps because gesture provides a mechanism for cognitive offloading. Similarly, students who sketch their predictions about the interiors of geologic block diagrams perform better on penetrative thinking tasks than students who make predictions without sketching. We are developing new teaching materials for Mineralogy, Structural Geology, and Sedimentology & Stratigraphy courses using these two strategies. Our data suggest that the research-based teaching materials we are developing may boost students' spatial thinking skills beyond the baseline gains we have measured in the same courses without the new curricular materials.

  6. An Integrated Software Framework to Support Semantic Modeling and Reasoning of Spatiotemporal Change of Geographical Objects: A Use Case of Land Use and Land Cover Change Study

    Directory of Open Access Journals (Sweden)

    Wenwen Li

    2016-09-01

    Full Text Available Evolving Earth observation and change detection techniques enable the automatic identification of Land Use and Land Cover Change (LULCC over a large extent from massive amounts of remote sensing data. It at the same time poses a major challenge in effective organization, representation and modeling of such information. This study proposes and implements an integrated computational framework to support the modeling, semantic and spatial reasoning of change information with regard to space, time and topology. We first proposed a conceptual model to formally represent the spatiotemporal variation of change data, which is essential knowledge to support various environmental and social studies, such as deforestation and urbanization studies. Then, a spatial ontology was created to encode these semantic spatiotemporal data in a machine-understandable format. Based on the knowledge defined in the ontology and related reasoning rules, a semantic platform was developed to support the semantic query and change trajectory reasoning of areas with LULCC. This semantic platform is innovative, as it integrates semantic and spatial reasoning into a coherent computational and operational software framework to support automated semantic analysis of time series data that can go beyond LULC datasets. In addition, this system scales well as the amount of data increases, validated by a number of experimental results. This work contributes significantly to both the geospatial Semantic Web and GIScience communities in terms of the establishment of the (web-based semantic platform for collaborative question answering and decision-making.

  7. Developing Situated Knowledge about Teaching with Technology via Web-Enhanced Case-Based Activity

    Science.gov (United States)

    Kim, Hyeonjin; Hannafin, Michael J.

    2011-01-01

    Situated, case-based approaches, featuring virtual teachers' activity and reasoning in university classrooms, may provide a viable alternative to immersive field-based apprenticeships. Despite widespread advocacy on situated teacher education, research on preservice teachers' situated learning remains rare. This study examined how preservice…

  8. Heuristic reasoning

    CERN Document Server

    2015-01-01

    How can we advance knowledge? Which methods do we need in order to make new discoveries? How can we rationally evaluate, reconstruct and offer discoveries as a means of improving the ‘method’ of discovery itself? And how can we use findings about scientific discovery to boost funding policies, thus fostering a deeper impact of scientific discovery itself? The respective chapters in this book provide readers with answers to these questions. They focus on a set of issues that are essential to the development of types of reasoning for advancing knowledge, such as models for both revolutionary findings and paradigm shifts; ways of rationally addressing scientific disagreement, e.g. when a revolutionary discovery sparks considerable disagreement inside the scientific community; frameworks for both discovery and inference methods; and heuristics for economics and the social sciences.

  9. Flawed reasoning

    Energy Technology Data Exchange (ETDEWEB)

    Frankena, M.W.; Owen, B.M.

    1993-07-15

    The FERC's failure to investigate the Entergy/GSU merger's effects on market power may force other agencies to examine electric utility mergers on their own. The competitive effects of the proposed merger Entergy and Gulf States Utilities (GSU) will not be further investigated by the Federal Energy Regulatory Commission (FERC), according to a January 1993 order. The FERC's primary justification is that the [open quotes]open access[close quotes] transmission conditions offered by the merging parties eliminated concern over market power in transmission and bulk power. The FERC's reasoning is flawed. If the merger were to lead to an increase in market power, the proposed transmission conditions would not prevent the merged firm from exercising that power. The FERC also justifies its decision not to investigate the competitive effects of the merger on the grounds that no intervenor had demonstrated that present competition between the two systems is more than de minimis. This is not an appropriate standard. Intervenors demonstrated that Entergy's and GSU's transmission system offer alternative contract routes for bulk power between generators and customers. Even if Entergy and GSU both do not actually sell significant amounts of the same transmission-service, an antitrust evaluation should consider whether the availability of a second, independent route constrains the pricing of the first. The FERC's reasoning indicates that it has lost its way in carrying out its responsibilities to protect consumers. Open access to transmission systems may play an important role in increasing competition in bulk power markets. However, the FERC's goal should be to promote competition, not merely to open access for its own sake. In its enthusiasm to secure [open quotes]open access[close quotes], the FERC appears willing to ignore possible reductions in competition.

  10. Examination of Learning Equity among Prospective Science Teachers Who Are Concrete, Formal and Postformal Reasoners after an Argumentation-Based Inquiry Course

    Science.gov (United States)

    Acar, Ömer; Patton, Bruce R.

    2016-01-01

    This study had two research purposes. First, we examined the scientific reasoning gains of prospective science teachers who are concrete, formal, and postformal reasoners in an argumentation-based physics inquiry instruction. Second, we sought conceptual knowledge and achievement gaps between these student groups before and after the instruction.…

  11. Extending Case-Based Reasoning (CBR) Approaches to Semi-automated Network Alert Reporting

    Science.gov (United States)

    2013-04-01

    IJCAI󈧉). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 27–32, 2005. 29. http://www2.dir.state.tx.us/SiteCollectionDocuments/Security...ATTN RDRL CIN D R PINO ATTN RDRL CIN D S HUTCHINSON ATTN RDRL CIN S C ARNOLD ATTN RDRL CIN S R ERBACHER ATTN IMAL HRA MAIL & RECORDS MGMT ATTN RDRL CIO LL TECHL LIB

  12. Review of Case Studies for Quantitative Reasoning: A Casebook of Media Articles by Bernard L. Madison, Stuart Boersma, Caren L. Diefenderfer, and Shannon W. Dingman

    Directory of Open Access Journals (Sweden)

    Samuel L. Tunstall

    2015-07-01

    Full Text Available Bernard L. Madison, Stuart Boersma, Caren L. Diefenderfer, and Shannon W. Dingman. Case Studies for Quantitative Reasoning: A Casebook of Media Articles (Pearson Learning Solutions, 2012. 215 pp. ISBN 9781256512875. Concisely organized and timely to a tee, Case Studies for Quantitative Reasoning contains a wealth of articles and exercises to promote higher-order thinking in any course where quantitative literacy is a goal. The text is a self-contained package complete with just enough mathematics to ensure that all students can join in. It contains a total of twenty-four case studies, each of which highlights how numbers appear in day-to-day media. The text is broken into six broad mathematical topics, each of which includes any background mathematics necessary for reading. Each individual study includes warm-up exercises and follow-up questions that demand critical thinking. Notwithstanding the elementary mathematics prerequisite to read the text, the topics and questions are sufficiently challenging to keep a class – and accompanying instructor – engaged for an entire semester.

  13. A Map-Matching Algorithm for GPS/DR Integrated Navigation Systems Based on Dempster-Shafer Evidence Reasoning

    Institute of Scientific and Technical Information of China (English)

    CHEN Ze-wang; YUAN Xin

    2004-01-01

    GPS (Global Positioning System) has been widely used in car navigation systems. Most car navigation systems estimate the car position from GPS and DR (dead reckoning). However, the unknown GPS noise characteristic and the unbounded DR accumulation of errors over time make the position information with undesirable position errors. The map matching can improve the position accuracy and availability of the vehicular position system. In this paper, general principle of map matching is investigated according to segmentation and feature extraction, and a map matching algorithm based on D-S (Dempster-Shafer) evidence reasoning for GPS integrated navigation system is proposed, which can find the exact road on which a car moves. For the experiments, a car navigation system is developed with some sensors and the field test demonstrates the effectiveness and applicability of the algorithm for the car location and navigation.

  14. Supporting Students' Learning and Socioscientific Reasoning About Climate Change—the Effect of Computer-Based Concept Mapping Scaffolds

    Science.gov (United States)

    Eggert, Sabina; Nitsch, Anne; Boone, William J.; Nückles, Matthias; Bögeholz, Susanne

    2016-01-01

    Climate change is one of the most challenging problems facing today's global society (e.g., IPCC 2013). While climate change is a widely covered topic in the media, and abundant information is made available through the internet, the causes and consequences of climate change in its full complexity are difficult for individuals, especially non-scientists, to grasp. Science education is a field which can play a crucial role in fostering meaningful education of students to become climate literate citizens (e.g., NOAA 2009; Schreiner et al., 41, 3-50, 2005). If students are, at some point, to participate in societal discussions about the sustainable development of our planet, their learning with respect to such issues needs to be supported. This includes the ability to think critically, to cope with complex scientific evidence, which is often subject to ongoing inquiry, and to reach informed decisions on the basis of factual information as well as values-based considerations. The study presented in this paper focused on efforts to advance students in (1) their conceptual understanding about climate change and (2) their socioscientific reasoning and decision making regarding socioscientific issues in general. Although there is evidence that "knowledge" does not guarantee pro-environmental behavior (e.g. Schreiner et al., 41, 3-50, 2005; Skamp et al., 97(2), 191-217, 2013), conceptual, interdisciplinary understanding of climate change is an important prerequisite to change individuals' attitudes towards climate change and thus to eventually foster climate literate citizens (e.g., Clark et al. 2013). In order to foster conceptual understanding and socioscientific reasoning, a computer-based learning environment with an embedded concept mapping tool was utilized to support senior high school students' learning about climate change and possible solution strategies. The evaluation of the effect of different concept mapping scaffolds focused on the quality of student

  15. Supporting Students' Learning and Socioscientific Reasoning About Climate Change—the Effect of Computer-Based Concept Mapping Scaffolds

    Science.gov (United States)

    Eggert, Sabina; Nitsch, Anne; Boone, William J.; Nückles, Matthias; Bögeholz, Susanne

    2017-02-01

    Climate change is one of the most challenging problems facing today's global society (e.g., IPCC 2013). While climate change is a widely covered topic in the media, and abundant information is made available through the internet, the causes and consequences of climate change in its full complexity are difficult for individuals, especially non-scientists, to grasp. Science education is a field which can play a crucial role in fostering meaningful education of students to become climate literate citizens (e.g., NOAA 2009; Schreiner et al., 41, 3-50, 2005). If students are, at some point, to participate in societal discussions about the sustainable development of our planet, their learning with respect to such issues needs to be supported. This includes the ability to think critically, to cope with complex scientific evidence, which is often subject to ongoing inquiry, and to reach informed decisions on the basis of factual information as well as values-based considerations. The study presented in this paper focused on efforts to advance students in (1) their conceptual understanding about climate change and (2) their socioscientific reasoning and decision making regarding socioscientific issues in general. Although there is evidence that "knowledge" does not guarantee pro-environmental behavior (e.g. Schreiner et al., 41, 3-50, 2005; Skamp et al., 97(2), 191-217, 2013), conceptual, interdisciplinary understanding of climate change is an important prerequisite to change individuals' attitudes towards climate change and thus to eventually foster climate literate citizens (e.g., Clark et al. 2013). In order to foster conceptual understanding and socioscientific reasoning, a computer-based learning environment with an embedded concept mapping tool was utilized to support senior high school students' learning about climate change and possible solution strategies. The evaluation of the effect of different concept mapping scaffolds focused on the quality of student

  16. The Effects of Successful versus Failure-Based Cases on Argumentation while Solving Decision-Making Problems

    Science.gov (United States)

    Tawfik, Andrew; Jonassen, David

    2013-01-01

    Solving complex, ill-structured problems may be effectively supported by case-based reasoning through case libraries that provide just-in-time domain-specific principles in the form of stories. The cases not only articulate previous experiences of practitioners, but also serve as problem-solving narratives from which learners can acquire meaning.…

  17. Computational approaches to analogical reasoning current trends

    CERN Document Server

    Richard, Gilles

    2014-01-01

    Analogical reasoning is known as a powerful mode for drawing plausible conclusions and solving problems. It has been the topic of a huge number of works by philosophers, anthropologists, linguists, psychologists, and computer scientists. As such, it has been early studied in artificial intelligence, with a particular renewal of interest in the last decade. The present volume provides a structured view of current research trends on computational approaches to analogical reasoning. It starts with an overview of the field, with an extensive bibliography. The 14 collected contributions cover a large scope of issues. First, the use of analogical proportions and analogies is explained and discussed in various natural language processing problems, as well as in automated deduction. Then, different formal frameworks for handling analogies are presented, dealing with case-based reasoning, heuristic-driven theory projection, commonsense reasoning about incomplete rule bases, logical proportions induced by similarity an...

  18. Game-based versus traditional case-based learning

    Science.gov (United States)

    Telner, Deanna; Bujas-Bobanovic, Maja; Chan, David; Chester, Bob; Marlow, Bernard; Meuser, James; Rothman, Arthur; Harvey, Bart

    2010-01-01

    ABSTRACT OBJECTIVE To evaluate family physicians’ enjoyment of and knowledge gained from game-based learning, compared with traditional case-based learning, in a continuing medical education (CME) event on stroke prevention and management. DESIGN An equivalence trial to determine if game-based learning was as effective as case-based learning in terms of attained knowledge levels. Game questions and small group cases were developed. Participants were randomized to either a game-based or a case-based group and took part in the event. SETTING Ontario provincial family medicine conference. PARTICIPANTS Thirty-two family physicians and 3 senior family medicine residents attending the conference. INTERVENTION Participation in either a game-based or a case-based CME learning group. MAIN OUTCOME MEASURES Scores on 40-item immediate and 3-month posttests of knowledge and a satisfaction survey. RESULTS Results from knowledge testing immediately after the event and 3 months later showed no significant difference in scoring between groups. Participants in the game-based group reported higher levels of satisfaction with the learning experience. CONCLUSION Games provide a novel way of organizing CME events. They might provide more group interaction and discussion, as well as improve recruitment to CME events. They might also provide a forum for interdisciplinary CME. Using games in future CME events appears to be a promising approach to facilitate participant learning. PMID:20841574

  19. VAMTOP套管接箍镀铜层变色原因分析%Reason Analysis on Tarnishing of Copper Plate of VAMTOP Casing Couplings

    Institute of Scientific and Technical Information of China (English)

    丁毅; 历建爱; 李平全; 佟琳

    2012-01-01

    Tarnishing reason of copper plate of VAMTOP casing couplings was analyzed by means of macro examination, microstructure examination, SEM analysis and X-ray energy spectrum analysis. The results show that the main reason for the tarnishing of the copper plating was that the surface copper oxidized and generated copper oxide. The dust color copper oxides hadn't occupied the whole copper layer, and it wouldn't destruct the combination of copper plate with matrix material. The tarnishing had no harmful effects on the service performance of the copper plate of the casing couplings.%采用宏观检验、金相检验、扫描电镜分析以及能谱分析等方法对某VAMTOP套管接箍镀铜层变色的原因进行了分析。结果表明:接箍镀铜层变色主要是由于镀铜层的表层铜发生氧化生成了铜的氧化物所致;该灰褐色氧化物变色层并未深入全镀铜层,不影响镀铜层与基体的结合,变色对接箍镀铜层的使用性能并未造成不良影响。

  20. HYBRID REASONING MODEL FOR STRENGTHENING THE PROBLEM SOLVING CAPABILITY OF EXPERT SYSTEMS

    Directory of Open Access Journals (Sweden)

    Kapil Khandelwal

    2013-11-01

    Full Text Available In this paper, we briefly outlined popular case-based reasoning combinations. More specifically, we focus on combinations of case-based reasoning with rule based reasoning, and model based reasoning. Further we examined the strengths and weaknesses of various reasoning models, case-based reasoning, rule-based reasoning and model-based reasoning, and discuss how they can be combined to form a more robust and better-performing hybrid. In a decision support system to address the variety of tasks a user performs, a single type of knowledge and reasoning method is often not sufficient. It is often necessary to determine which reasoning method would be the most appropriate for each task, and a combination of different methods has often shown the best results. In this study CBR was mixed with other RBR and MBR approaches to promote synergies and benefits beyond those achievable using CBR or other individual reasoning approaches alone. Each approach has advantages and disadvantages, which are proved to be complementary in a large degree. So, it is well-justified to combine these to produce effective hybrid approaches, surpassing the disadvantages of each component method. “KNAPS-CR” model integrates problem solving with learning from experience within an extensive model of different knowledge types. “KNAPS-CR” has a reasoning strategy which first attempts case-based reasoning, then rule-based reasoning, and, finally, model-based reasoning. It learns from each problem solving session by updating its collection of cases, irrespective of which reasoning method that succeeded in solving the problem.

  1. Educational Program Status of Premarital Counseling Centers in Hamadan Province Based on Theory of Reasoned Action (TRA

    Directory of Open Access Journals (Sweden)

    Mohamad Mahdi Hazavehei

    2013-09-01

    Full Text Available Background & Objective: Divorce, unwanted pregnancies, and unsuccessful marriages create mental, emotional, physical, and financial problems for individuals, families, and ultimately the community. Premarital education and counseling is one of the most effective ways for the prevention of such problems. The purpose of this study was to describe and evaluate the effectiveness of a premarital educational program by using the TRA (Theory of Reasoned Action. Materials and Methods: Four hundred couples who attended premarital education and counseling classes voluntarily participated in this descriptive and analytical study. Variables such as attitude, subjective norms, and intention, were collected by using a validated questionnaire based on the TRA components. The questionnaire was filled out before and after the educational classes. Results: The mean age of the couples was 23.16 ± 5.64 years old. Statistically significant differences were found in knowledge, attitude, and subjective norms before and after participation in the classes (p value 0.05. Conclusion: Although the mean knowledge and attitude of the couples under study increased after the classes, the increase was not high and only 20% of the couples gained acceptable knowledge. The effectiveness of such classes in the current manner is very low. Application of appropriate educational methods and media-based models and theories is highly recommended.

  2. Lifestyle Behaviours Add to the Armoury of Treatment Options for Panic Disorder: An Evidence-Based Reasoning

    Directory of Open Access Journals (Sweden)

    Rod Lambert

    2015-06-01

    Full Text Available This article presents an evidence-based reasoning, focusing on evidence of an Occupational Therapy input to lifestyle behaviour influences on panic disorder that also provides potentially broader application across other mental health problems (MHP. The article begins from the premise that we are all different. It then follows through a sequence of questions, examining incrementally how MHPs are experienced and classified. It analyses the impact of individual sensitivity at different levels of analysis, from genetic and epigenetic individuality, through neurotransmitter and body system sensitivity. Examples are given demonstrating the evidence base behind the logical sequence of investigation. The paper considers the evidence of how everyday routine lifestyle behaviour impacts on occupational function at all levels, and how these behaviours link to individual sensitivity to influence the level of exposure required to elicit symptomatic responses. Occupational Therapists can help patients by adequately assessing individual sensitivity, and through promoting understanding and a sense of control over their own symptoms. It concludes that present clinical guidelines should be expanded to incorporate knowledge of individual sensitivities to environmental exposures and lifestyle behaviours at an early stage.

  3. Base of tongue schwannoma: a case report.

    Science.gov (United States)

    Ying, Yu-Lan Mary; Zimmer, Lee A; Myers, Eugene N

    2006-07-01

    Both malignant and benign lesions may be found on the base of the tongue, including metastasis from other sites. Various surgical approaches to the base of tongue have been described. Here, we report a case of a 26-year-old woman with a schwannoma in the base of tongue removed through a suprahyoid pharyngotomy approach. The biology and pathology of schwannoma in the oral cavity are discussed. The advantage of the suprahyoid pharyngotomy approach for complete excision of a mass in the base of tongue is demonstrated.

  4. How substance-based ontologies for gravity can be productive: A case study

    Science.gov (United States)

    Gupta, Ayush; Elby, Andrew; Conlin, Luke D.

    2014-06-01

    Many science education researchers have argued that learners' commitment to a substance (matter-based) ontology impedes the learning of scientific concepts that scientists typically conceptualize as processes or interactions, such as force, electric current, and heat. By this account, students' tendency to classify these entities as substances or properties of substances leads to robust misconceptions, and instruction should steer novices away from substance-based reasoning. We argue that substance-based reasoning can contribute to the learning and understanding of these very same physics concepts. Our case study focuses on a group of elementary school science teachers in our professional development program. Starting from substance-based metaphors for gravity, the teachers build a sophisticated explanation for why objects of different masses fall with the same acceleration. We argue that, for conceptual, epistemological, and affective reasons, instructional interventions should focus on tapping these productive substance-based resources when they arise rather than attempting to suppress them.

  5. Generic project definitions for improvement of health care delivery: A case-base approach

    NARCIS (Netherlands)

    Niemeijer, G.C.; Does, R.J.M.M.; de Mast, J.; Trip, A.; van den Heuvel, J.

    2011-01-01

    Background: The purpose of this article is to create actionable knowledge, making the definition of process improvement projects in health care delivery more effective. Methods: This study is a retrospective analysis of process improvement projects in hospitals, facilitating a case-based reasoning a

  6. Simulation and case-based learning

    DEFF Research Database (Denmark)

    Ørngreen, Rikke; Guralnick, David

    2008-01-01

    Abstract- This paper has its origin in the authors' reflection on years of practical experiences combined with literature readings in our preparation for a workshop on learn-by-doing simulation and case-based learning to be held at the ICELW 2008 conference (the International Conference on E...

  7. PRODUCT GENE REPRESENTATION AND ACQUISITION METHOD BASED ON POPULATION OF PRODUCT CASES

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The representation and acquisition of a product gene is a crucial problem in product evolutionary design. A new methodology of product gene representation and acquisition from a population of product cases is proposed, and the methodology for product evolutionary design based on a population of product cases is realized. By properly classifying product cases according to its product species, the populations of product cases are divided and a model is established. Knowledge of the scheme design is extracted and formulated as the function base, principle base, and structure base, which are then combined to form a product gene. Subsequently, the product gene tree is created and represented by object-oriented method. Then combining this method with the evolutionary reasoning technology, an intelligent and automatic evolutionary scheme design of product based on the population of product cases is realized. This design method will be helpful in the processing of knowledge formulation, accumulation, and reuse, and in addressing the difficulty of acquiring design knowledge in traditional design. In addition, the disadvantages of manual case adaptation and update in case-based reasoning can be eliminated. Moreover, by optimizing the design scheme in multiple levels and aspects of product function, principle, and structure etc., the level of creativity in the scheme design can be improved.

  8. Reasoning about modular datatypes with Mendler induction

    Directory of Open Access Journals (Sweden)

    Paolo Torrini

    2015-09-01

    Full Text Available In functional programming, datatypes a la carte provide a convenient modular representation of recursive datatypes, based on their initial algebra semantics. Unfortunately it is highly challenging to implement this technique in proof assistants that are based on type theory, like Coq. The reason is that it involves type definitions, such as those of type-level fixpoint operators, that are not strictly positive. The known work-around of impredicative encodings is problematic, insofar as it impedes conventional inductive reasoning. Weak induction principles can be used instead, but they considerably complicate proofs. This paper proposes a novel and simpler technique to reason inductively about impredicative encodings, based on Mendler-style induction. This technique involves dispensing with dependent induction, ensuring that datatypes can be lifted to predicates and relying on relational formulations. A case study on proving subject reduction for structural operational semantics illustrates that the approach enables modular proofs, and that these proofs are essentially similar to conventional ones.

  9. Additivity pretraining and cue competition effects: developmental evidence for a reasoning-based account of causal learning.

    Science.gov (United States)

    Simms, Victoria; McCormack, Teresa; Beckers, Tom

    2012-04-01

    The effect of additivity pretraining on blocking has been taken as evidence for a reasoning account of human and animal causal learning. If inferential reasoning underpins this effect, then developmental differences in the magnitude of this effect in children would be expected. Experiment 1 examined cue competition effects in children's (4- to 5-year-olds and 6- to 7-year-olds) causal learning using a new paradigm analogous to the food allergy task used in studies of human adult causal learning. Blocking was stronger in the older than the younger children, and additivity pretraining only affected blocking in the older group. Unovershadowing was not affected by age or by pretraining. In experiment 2, levels of blocking were found to be correlated with the ability to answer questions that required children to reason about additivity. Our results support an inferential reasoning explanation of cue competition effects.

  10. Design for reasoning

    DEFF Research Database (Denmark)

    Christiansen, Ellen Tove

    2009-01-01

    with such applications comprises three forms of reasoning: deduction, induction and abduction. Based on the work of Gregory Bateson, it is suggested that the disciplines of interaction design and information architecture are complementary parts of information processes. To show that abduction, induction and deduction...

  11. Tourism Planning: A Case Based Approach

    Directory of Open Access Journals (Sweden)

    Muhammad Khalid Khan

    2014-06-01

    Full Text Available This study is an attempt to investigate the tourism marketing and attraction strategies adopted by various countries. A case study based approach is adopted in this study. On the basis of investigation of tourism development strategies adopted by various countries, suggestions are also made at the end. These suggestions are aimed to increase visitors our tourists’ base in a country. These suggestions can be used by any country to increase visitors or tourists. Future directions are also given at the end.

  12. Orchestrating Semiotic Leaps from Tacit to Cultural Quantitative Reasoning--The Case of Anticipating Experimental Outcomes of a Quasi-Binomial Random Generator

    Science.gov (United States)

    Abrahamson, Dor

    2009-01-01

    This article reports on a case study from a design-based research project that investigated how students make sense of the disciplinary tools they are taught to use, and specifically, what personal, interpersonal, and material resources support this process. The probability topic of binomial distribution was selected due to robust documentation of…

  13. DESIGN TECHNOLOGY FOR INJECTION MOLD PARTING SURFACE BASED ON CASES AND KNOWLEDGE

    Institute of Scientific and Technical Information of China (English)

    Yu Tongmin; Li Guanhua; Li Youmin; Lan Jian

    2005-01-01

    On the basis of the comprehensive analysis about the automatic generation of the injection mold parting surface, the parting surface design method which introduces knowledge and casebased reasoning (CBR) into the computer-aided design is described by combining with the actual characteristic in injection mold design, and the design process of case-based reasoning method is also given. A case library including the information of parting surface is built with the index of main shape features. The automatic design of the mold parting surface is realized combined with the forward-reasoning method and the similarity solution procedure. The rule knowledge library is also founded including the knowledge, principles and experiences for parting surface design. An example is used to show the validity of the method, and the quality and the efficiency of the mold design are improved.

  14. Outcomes assessment of case-based writing exercises in a veterinary clinical pathology course.

    Science.gov (United States)

    Sharkey, Leslie; Michael, Helen; LeBeau, Brandon; Center, Bruce; Wingert, Deb

    2012-01-01

    Our second-year core clinical pathology course uses free-response case-based learning exercises in an otherwise traditional lecture or laboratory course format to augment the development of skills in application of knowledge and critical thinking and clinical reasoning. We previously reported increased learner confidence accompanied by perceived improvements in understanding and ability to apply information, along with enhanced feelings of preparedness for examinations that students attributed to the case-based exercises. The current study prospectively follows a cohort of students to determine the ability of traditional multiple-choice versus free-response case-based assessments to predict future academic performance and to determine if the perceived value of the case-based exercises persists through the curriculum. Our data show that after holding multiple-choice scores constant, better performance on case-based free-response exercises led to higher GPA and better class rank in the second and third years and better class rank in the fourth year. Students in clinical rotations reported that the case-based approach was superior to traditional lecture or multiple-choice exam format for learning clinical reasoning, retaining factual information, organizing information, communicating medical information clearly to colleagues in clinical situations, and preparing high quality medical records. In summary, this longitudinal study shows that case-based free-response writing assignments are efficacious above and beyond standard measures in determining students' GPAs and class rank and in students' acquisition of knowledge, skills, and clinical reasoning. Students value these assignments and overwhelmingly find them an efficient use of their time, and these opinions are maintained even two years following the course.

  15. Chinese adolescents' reasoning about democratic and authority-based decision making in peer, family, and school contexts.

    Science.gov (United States)

    Helwig, Charles C; Arnold, Mary Louise; Tan, Dingliang; Boyd, Dwight

    2003-01-01

    This study explored the judgments and reasoning of Chinese adolescents (13-18 years of age) from 3 regions of mainland China (N = 574) regarding procedures for making decisions involving children in peer, family, and school contexts. Participants evaluated 2 democratic decision-making procedures (majority rule and consensus) and decision making by adult authorities for 2 decisions embedded in each social context. Judgments and reasoning about decision-making procedures varied by social context and by the decision under consideration, and evaluations of procedures became more differentiated with increasing age. The findings reveal that concepts of rights, individual autonomy, and democratic norms (majority rule) are salient aspects of Chinese adolescents' social reasoning and are used to evaluate critically existing social practices.

  16. Females and males rely on different cortical regions in Raven's Matrices reasoning capacity: evidence from a voxel-based morphometry study.

    Directory of Open Access Journals (Sweden)

    Wenjing Yang

    Full Text Available Raven's Matrices test (RMT is a non-verbal test designed to assess individuals' ability to reason and solve new problems without relying extensively on declarative knowledge derived from schooling or previous experience. Despite a large number of behavioral studies that demonstrated gender differences in Raven's Matrices reasoning ability, no neural evidence supported this difference. In this study, voxel-based morphometry (VBM was used in an attempt to uncover the gender-specific neural basis of Raven's Matrices reasoning ability as measured by the combined Raven's Matrices test (CRT in 370 healthy young adults. The behavioral results showed no difference between males and females. However, the VBM results showed that the relationship between reasoning ability and regional gray matter volume (rGMV differed between sexes. The association between CRT scores and rGMV in the dorsolateral prefrontal cortex (associated with visuospatial ability was significantly greater in males than in females, whereas the reverse was true for the inferior frontal cortex (relating to verbal reasoning ability and the medial frontal cortex (engaged in information binding where the association was greater in females. These findings suggest that males and females use differently structured brains in different ways to achieve similar levels of overall Raven's Matrices reasoning ability.

  17. Reasons For Not Performing Keratorefractive Surgery in Patients Seeking Refractive Surgery in a Hospital-Based Cohort in “Yemen”

    Science.gov (United States)

    Bamashmus, Mahfouth A.; Saleh, Mahmoud F.; Awadalla, Mohamed A.

    2010-01-01

    Background: To determine and analyze the reasons why keratorefractive surgery, laser in situ keratomileusis (LASIK) and photorefractive keratectomy (PRK) were not performed in patients who presented for refractive surgery consultation. Materials and Methods: A retrospective observational study was performed between January 2006 and December 2007 in the Yemen Magrabi Hospital. The case records of 2,091 consecutive new patients who presented for refractive surgery were reviewed. Information from the pre-operative ophthalmic examination, such as refractive error, corneal topography and visual acuity, were analyzed. The reasons for not performing LASIK and PRK in the cases that were rejected were recorded and analyzed. Results: In this cohort, 1,660 (79.4%) patients were advised to have LASIK or PRK from the 2,091 patients examined. LASIK and PRK were not advised in 431 (21%) patients. The most common reasons for not performing the surgery were high myopia >-11.00 Diopters (19%), keratoconus (18%), suboptimal central corneal thickness (15%), cataract (12%) and keratoconus suspect (forme fruste keratoconus) (10%). Conclusion: Patients who requested keratorefractive surgery have a variety of problems and warrant comprehensive attention to selection criteria on the part of the surgeon. Corneal topographies and pachymetry of refractive surgery candidates need to be read cautiously. High-refractive error, keratoconus and insufficient corneal thickness were found to be the leading reasons for not performing keratorefractive surgery in this study. PMID:21180437

  18. Study and realization of the computer support system on feasible reasoning and scientific decision-making of projects based on WEB

    Institute of Scientific and Technical Information of China (English)

    李晓东; 孙立新

    2004-01-01

    With the development of information technology, DSS can be used to resolve the complex process of the feasible reasoning and scientific decision-making of projects. This paper offers 7 exploiting principles for the computer support system on feasible reasoning and scientific decision-making of projects, that is, the principles of standardization, procedure, specification, agility, currency, practicability and development. On the basis of analysis on systematic procedure, the computer support system on feasible reasoning and scientific decisionmaking of projects is formed based on WEB, and its general structure, system function and the methods to be realized are introduced. The data composition of this system is analyzed following the principles of integrality,development, perspicuity and consistency. Also, the model-base management system is designed for the management of model storage and management of model operation.

  19. [A case of tongue base schwannoma].

    Science.gov (United States)

    Xie, Huishan; Yang, Feng; Zhuo, Mingying

    2013-09-01

    Published reports of benign nerve sheath tumors of the oropharynx especially at tongue base are extremely rare. They may slowly growing but represent a potential threat to the airway, prompt diagnosis and treatment are vital. To our knowledge, this case presents the rare clinical condition and the first giant one. Due to the rarity, awareness of the possibility of a schwannoma in various otolaryngological conditions is an important step in making a correct clinical diagnosis. Here we represent a rare case of a giant schwannoma that arose from valleculae projecting to supraglottis to cause swallowing difficult but no breathing problem. The mass was completely removed, and no recurrence during next 2 years follow-up.

  20. Examination of Attitudes towards Teaching Online Courses Based on Theory of Reasoned Action of University Faculty in Taiwan

    Science.gov (United States)

    Chen, Tzy-Ling; Chen, Tzu-Jung

    2006-01-01

    This study examined attitudes of university faculty specialising in the field of human resource (HR) in Taiwan towards participation in the teaching of online courses using the theory of reasoned action (TRA). The population targeted for investigation consisted of the full-time university faculty in the HR field in Taiwan regardless of their…

  1. Disciplinary Literacy in English Language Arts: Exploring the Social and Problem-Based Nature of Literary Reading and Reasoning

    Science.gov (United States)

    Rainey, Emily C.

    2017-01-01

    Despite many calls for K-12 disciplinary literacy instruction--instruction that teaches students the specialized ways of reading, writing, and reasoning of the academic disciplines--there are questions about what disciplinary literacy instruction means for the prominent school domain of English language arts. This article investigates the…

  2. Using Eight Key Questions as an Inquiry-Based Framework for Ethical Reasoning Issues in a General Education Earth Systems and Climate Change Course

    Science.gov (United States)

    Johnson, E. A.; Ball, T. C.

    2014-12-01

    An important objective in general education geoscience courses is to help students evaluate social and ethical issues based upon scientific knowledge. It can be difficult for instructors trained in the physical sciences to design effective ways of including ethical issues in large lecture courses where whole-class discussions are not practical. The Quality Enhancement Plan for James Madison University, "The Madison Collaborative: Ethical Reasoning in Action," (http://www.jmu.edu/mc/index.shtml) has identified eight key questions to be used as a framework for developing ethical reasoning exercises and evaluating student learning. These eight questions are represented by the acronym FOR CLEAR and are represented by the concepts of Fairness, Outcomes, Responsibilities, Character, Liberty, Empathy, Authority, and Rights. In this study, we use the eight key questions as an inquiry-based framework for addressing ethical issues in a 100-student general education Earth systems and climate change course. Ethical reasoning exercises are presented throughout the course and range from questions of personal behavior to issues regarding potential future generations and global natural resources. In the first few exercises, key questions are identified for the students and calibrated responses are provided as examples. By the end of the semester, students are expected to identify key questions themselves and justify their own ethical and scientific reasoning. Evaluation rubrics are customized to this scaffolding approach to the exercises. Student feedback and course data will be presented to encourage discussion of this and other approaches to explicitly incorporating ethical reasoning in general education geoscience courses.

  3. 基于向量相似度的新的证据推理方法磁%New Evidence Reasoning Method Based on Vector Similarity

    Institute of Scientific and Technical Information of China (English)

    陶李; 关欣; 孙贵东

    2015-01-01

    D‐S证据理论在信息融合领域有着广泛的应用,但有时在应用过程中会遇到一些与人的逻辑思维不相符的情况,尤其是在证据高度冲突的情况下,针对这一问题论文提出了一种基于向量相似度的证据组合方法。该方法通过向量相似度定义了证据可信度并以此生成证据权重,基于所获权重对冲突因子进行分配,最后结合D‐S组合规则完成证据推理。算例分析表明新方法能有效处理几种常见的悖论与证据高度冲突的情况。%Dempster‐Shafer evidence theory is widely used in the field of decision‐level information fusion .But some‐times some situation which is not consistent with people's logic thinking is encountered in the application process ,especially in the case of highly conflict evidence .A kind of evidence combination method is put forward based on vector similarity in or‐der to solve this problem .This method defines the evidence reliability by vector similarity and generates the weight of evi‐dence based on the weight of evidence conflict is distributed .In the end ,the D‐S evidence combination rules are combined to complete the evidence reasoning .The examples show that the new method can efficiently solve the paradox of several com‐mon and highly conflict evidence .

  4. Relations between Inductive Reasoning and Deductive Reasoning

    Science.gov (United States)

    Heit, Evan; Rotello, Caren M.

    2010-01-01

    One of the most important open questions in reasoning research is how inductive reasoning and deductive reasoning are related. In an effort to address this question, we applied methods and concepts from memory research. We used 2 experiments to examine the effects of logical validity and premise-conclusion similarity on evaluation of arguments.…

  5. Intelligent Case Based Decision Support System for Online Diagnosis of Automated Production System

    Science.gov (United States)

    Ben Rabah, N.; Saddem, R.; Ben Hmida, F.; Carre-Menetrier, V.; Tagina, M.

    2017-01-01

    Diagnosis of Automated Production System (APS) is a decision-making process designed to detect, locate and identify a particular failure caused by the control law. In the literature, there are three major types of reasoning for industrial diagnosis: the first is model-based, the second is rule-based and the third is case-based. The common and major limitation of the first and the second reasonings is that they do not have automated learning ability. This paper presents an interactive and effective Case Based Decision Support System for online Diagnosis (CB-DSSD) of an APS. It offers a synergy between the Case Based Reasoning (CBR) and the Decision Support System (DSS) in order to support and assist Human Operator of Supervision (HOS) in his/her decision process. Indeed, the experimental evaluation performed on an Interactive Training System for PLC (ITS PLC) that allows the control of a Programmable Logic Controller (PLC), simulating sensors or/and actuators failures and validating the control algorithm through a real time interactive experience, showed the efficiency of our approach.

  6. Base of Tongue Tuberculosis: A Case Report

    Directory of Open Access Journals (Sweden)

    Carlos Chiesa Estomba

    2015-05-01

    Full Text Available Introduction: Tuberculosis is an infectious disease that has displayed increasing incidence in the last decades. It is estimated that up to 20% of tuberculosis cases affect extra-pulmonary organs. In the ENT area, soft palate and tongue are the least probable locations.   Case Report A 62-year-old female with a history of rheumatoid arthritis and treatment with corticosteroids and Adalimumab, developed a foreign body sensation in the pharynx accompanied by a sore throat and halitosis. The laryngoscopy with a 70 degree rigid telescope showed an ulcerated hypertrophic lesion in the right vallecula of about 2-3 cm in the base of the tongue. Acid-alcohol resistant bacilli were found positive for M. tuberculosis, through the Ziehl Neelsen method and Löwenstein culture the patient was treated with tuberculostatic medication. Conclusion:  TB is a possible diagnosis when in the presence of an ulcerated lesion at the base of the tongue, accompanied by sore throat, dysphagia, or foreign body sensation.

  7. Reason and Less

    Directory of Open Access Journals (Sweden)

    Vinod eGoel

    2014-08-01

    Full Text Available We consider ourselves to be rational beings. We feel that our choices, decisions, and actions are selected from a flexible array of possibilities, based upon reasons. When we vote for a political candidate, it is because they share our views on certain critical issues. When we hire an individual for a job, it is be-cause they are the best qualified. However, if this is true, why does an analysis of the direction of shift in the timbre of the voice of political candidates during an exchange or debate, predict the winner of American presidential elections? Why is it that while only 3% of the American population consists of white men over 6'4 tall, 30% of the CEOs of Fortune 500 companies are white men over 6'4 tall? These are examples of instinctual biases affecting or modulating rational thought processes. I argue that existing theories of reasoning cannot substantively accommodate these ubiquitous, real-world phe-nomena. Failure to recognize and incorporate these types of phenomena into the study of human reasoning results in a distorted understanding of rationality. The goal of the article is to draw attention to these types of phenomena and propose an adulterated rationality account of reasoning to explain them.

  8. Medication effectiveness may not be the major reason for accepting cardiovascular preventive medication: A population-based survey

    Directory of Open Access Journals (Sweden)

    Harmsen Charlotte

    2012-08-01

    Full Text Available Abstract Background Shared decision-making and patients’ choice of interventions are areas of increasing importance, not least seen in the light of the fact that chronic conditions are increasing, interventions considered important for public health, and still non-acceptance of especially risk-reducing treatments of cardiovascular diseases (CVD is prevalent. A better understanding of patients’ medication-taking behavior is needed and may be reached by studying the reasons why people accept or decline medication recommendations. The aim of this paper was to identify factors that may influence people’s decisions and reasoning for accepting or declining a cardiovascular preventive medication offer. Methods From a random sample of 4,000 people aged 40–59 years in a Danish population, 1,169 participants were asked to imagine being at increased risk of cardiovascular disease and being offered a preventive medication. After receiving ‘complete’ information about effectiveness of the medication they were asked whether they would accept medication. Finally, they were asked about reasons for the decision. Results A total of 725 (67% of 1,082 participants accepted the medication offer. Even quite large effects of medication (up to 8 percentage points absolute risk reduction had a smaller impact on acceptance to medication than personal experience with cardiovascular disease. Furthermore, increasing age of the participant and living with a partner were significantly associated with acceptance. Some 45% of the respondents accepting justified their choice as being for health reasons, and they were more likely to be women, live alone, have higher income and higher education levels. Among those who did not accept the medication offer, 56% indicated that they would rather prefer to change lifestyle. Conclusions Medication effectiveness seems to have a moderate influence on people’s decisions to accept preventive medication, while factors such as

  9. 基于改进置信规则库推理的分类方法%Classification Approach Based on Improved Belief Rule-Base Reasoning

    Institute of Scientific and Technical Information of China (English)

    叶青青; 杨隆浩; 傅仰耿; 陈晓聪

    2016-01-01

    通过引入置信规则库的线性组合方式,设定规则数等于分类数及改进个体匹配度的计算方法,提出了基于置信规则库推理的分类方法。比较传统的置信规则库推理方法,新方法中规则数的设置不依赖于问题的前件属性数量或候选值数量,仅与问题的分类数有关,保证了方法对于复杂问题的适用性。实验中,通过差分进化算法对置信规则库的规则权重、前件属性权重、属性候选值和评价等级的置信度进行参数学习,得到最优的参数组合。对3个常用的公共分类数据集进行测试,均获得理想的分类准确率,表明新分类方法合理有效。%This paper proposes a new classification approach based on improved belief rule-base reasoning by intro-ducing linear combinational mode, setting the number of rules based on the classifications and improving the method of calculating individual matching degree. Compared with the traditional belief rule-base inference methodology, the number of rules in the proposed method does not depend on the number of antecedent attributes or its referential values, and it is only related to classification number. In this way, the new method can ensure the applicability for complex problems. In the experiments, the differential evolution algorithm is applied to train parameters, including rule weights, attribute weights, referential values of antecedent attributes and belief degrees. Three commonly public datasets have been employed to validate the proposed method. And the classification results are proved to be ideal, which shows that the proposed method is reasonable and effective.

  10. 456例孕妇早产的原因及早产儿结局分析%Analysis on premature reasons of 456 cases of pregnant women.

    Institute of Scientific and Technical Information of China (English)

    江林; 李兴海; 程桂凤

    2011-01-01

    目的 探讨降低早产儿死亡率的方法.方法 回顾分析456例孕妇早产的原因和510例围生儿的结局.结果 胎膜早破和多胎妊娠是引起早产的主要因素,重度妊高征、前置胎盘、胎盘早剥和妊娠合并心脏病是引起医源性早产的最常见原因.在有规律产前检查的早产病例中,新生儿的死亡率明显降低.临产前应用地塞米松肌注或静注,产后加强新生儿护理,可降低早产儿的并发症和死亡率.结论 早产是新生儿发病和死亡的主要原因,肺透明膜病、窒息和颅内出血是早产儿死亡的主要原因,早产不是剖宫产的禁忌证,对于不可避免的医源性早产,规律的产前检查和适当的诊治能够取得良好的妊娠结局.%Objective To investigate how to reduce morbidity and mortality of premature infants. Methods Premature reasons of 456 cases of pregnant women were analyzed retrospectively, and pregnant results of 510 cases of premature infant were studied. Results Premature rupture of membrane and multiple pregnancy were the main risk factors of preterm labor. The most common causes of iatrogenic preterm labor were severe pregnancy-induced hypertension syndrome, placenta praevia, placental abruption and pregnancy with cardiovascular disease. The neonatal mortality was lowered in the cases with antenatal care. The complications and the mortality of the premature infants were reduced if glucocorticoids (dexamethasone) could be used intramuscular injection or intravenous injection before delivery and intensive care after birth would be taken. Conclusion Premature is the main cause of neonatal morbidity and mortality, pulmonary hyaline membrane disease, asphyxia and intracranial hemorrhage are the main causes of neonatal death. Preterm labor is not the contraindication of caesarean section. Antenatal care and proper treatment may get a better pregnant result in the inevitable iatrogenic preterm delivery.

  11. Case base classification on digital mammograms: improving the performance of case base classifier

    Science.gov (United States)

    Raman, Valliappan; Then, H. H.; Sumari, Putra; Venkatesa Mohan, N.

    2011-10-01

    Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. The aim of the research presented here is in twofold. First stage of research involves machine learning techniques, which segments and extracts features from the mass of digital mammograms. Second level is on problem solving approach which includes classification of mass by performance based case base classifier. In this paper we build a case-based Classifier in order to diagnose mammographic images. We explain different methods and behaviors that have been added to the classifier to improve the performance of the classifier. Currently the initial Performance base Classifier with Bagging is proposed in the paper and it's been implemented and it shows an improvement in specificity and sensitivity.

  12. A Case-Based System for Construction Project Risk Management

    Institute of Scientific and Technical Information of China (English)

    YANG Lan-rong; ZHANG Jin-long

    2002-01-01

    This paper presents a Case-Based system for assisting construction project managers in identifying risk factors and the corresponding construction project risk. The construction project risk identification model captures the case, acquired from previous completed construction projects and experience. A prototype is developed based on the proposed Case-Based system to determine risk factors along with their risk effects.

  13. Mathematical Reasoning in Teachers' Presentations

    Science.gov (United States)

    Bergqvist, Tomas; Lithner, Johan

    2012-01-01

    This paper presents a study of the opportunities presented to students that allow them to learn different types of mathematical reasoning during teachers' ordinary task solving presentations. The characteristics of algorithmic and creative reasoning that are seen in the presentations are analyzed. We find that most task solutions are based on…

  14. 基于协商视角的证据推理%Evidential reasoning based on negotiation

    Institute of Scientific and Technical Information of China (English)

    陈圣群; 王应明

    2016-01-01

    以管理决策为背景,从协商视角对证据推理进行研究。根据决策者偏好,可以有选择地参与协商,协商的基本思想是在满足决策者个体需求条件下,从整体上尽可能使各证据修正值与每个决策者给出的证据偏差最小,然后得出协商权重进行证据组合。最后,通过算例分析验证了该方法的优越性。%The evidential reasoning from the perspective of negotiation in management decision is re-searched.Evidence can be selectively involved in negotiation according to decision-makers’preference.The pro-posed method of negotiation is to minimize the overall deviation of modified evidences from evidences offered by decision-makers under the condition of satisfying decision-makers’individual needs,and to calculate negotiation weights,with which evidences can be combined reasonably.Numerical examples are also provided to demon-strate the advantages of the proposed method.

  15. Base of Tongue Tuberculosis: A Case Report

    Directory of Open Access Journals (Sweden)

    Prepageran Narayanan

    2012-02-01

    Full Text Available We report a rare case of base of tongue tuberculosis following pulmonary tuberculosis. Patient presented to us with chief complaints of sore throat and pain on swallowing for period of 3 months. On examination with 70 degree telescope, we observed an ulcer on right side of base of tongue. The edges of the ulcer appeared to be undermined with whitish slough at the centre of the ulcer. Examination of neck showed a multiple small palpable middle deep cervical lymph nodes on right side of neck. Biopsy of the ulcer was taken, which showed granulomatous inflammation, suggestive of tuberculosis. Laboratory investigations revealed a raise in erythrocyte sedimentation rate, sputum for acid fast bacilli was strongly positive. Chest X ray was performed for patient showed multiple areas of consolidation. Patient was referred to chest clinic for further management of tuberculosis and was started on anti-tuberculous drugs. In conclusion tuberculosis of oral cavity is rare, but should be considered among one of the differential diagnosis of the oral lesions and biopsy is necessary to confirm the diagnosis.

  16. Case-Based Policy and Goal Recognition

    Science.gov (United States)

    2015-09-30

    Springfield, VA USA 2 ASEE Postdoctoral Fellow 3 Navy Center for Applied Research in Artificial Intelligence ; Naval Research Laboratory (Code 5514...tion performance in comparison to a baseline algorithm. Keywords: Policy recognition, intelligent agents, goal reasoning, air combat 1 Introduction The...recognition in beyond visual range air combat. In: Proceedings of the Twenty-Eighth Inter- national Florida Artificial Intelligence Research Society

  17. Maritime investigation model based on Reason Model%基于Reason模型的海事调查模型

    Institute of Scientific and Technical Information of China (English)

    吴文正; 杨亮

    2011-01-01

    Reason模型是Reason先生提出的旨在提高人们认知事故本性能力的模型.虽然Reason先生提出Reason模型的本意不在指导海事调查,但其模型的通用性和适用性为如何科学地开展海事调查提供了基础.本文修改原始的Reason模型,并赋予其实际含义,提出适用于海事调查的Reason-M事故因果模型,并通过一例海上工伤事故的分析以验证模型在海事调查中的适用性.

  18. Color identification and fuzzy reasoning based monitoring and controlling of fermentation process of branched chain amino acid

    Science.gov (United States)

    Ma, Lei; Wang, Yizhong; Xu, Qingyang; Huang, Huafang; Zhang, Rui; Chen, Ning

    2009-11-01

    The main production method of branched chain amino acid (BCAA) is microbial fermentation. In this paper, to monitor and to control the fermentation process of BCAA, especially its logarithmic phase, parameters such as the color of fermentation broth, culture temperature, pH, revolution, dissolved oxygen, airflow rate, pressure, optical density, and residual glucose, are measured and/or controlled and/or adjusted. The color of fermentation broth is measured using the HIS color model and a BP neural network. The network's input is the histograms of hue H and saturation S, and output is the color description. Fermentation process parameters are adjusted using fuzzy reasoning, which is performed by inference rules. According to the practical situation of BCAA fermentation process, all parameters are divided into four grades, and different fuzzy rules are established.

  19. 10 CFR 63.304 - Reasonable expectation.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 2 2010-01-01 2010-01-01 false Reasonable expectation. 63.304 Section 63.304 Energy... Reasonable expectation. Reasonable expectation means that the Commission is satisfied that compliance will be achieved based upon the full record before it. Characteristics of reasonable expectation include that...

  20. Genetics Reasoning with Multiple External Representations

    Science.gov (United States)

    Tsui, Chi-Yan; Treagust, David F.

    2003-02-01

    This paper explores a case study of a class of Year 10 students (n=24) whose learning of genetics involved activities of BioLogica, a computer program that features multiple external representations (MERs). MERs can be verbal/textual, visual-graphical, or in other formats. Researchers claim that the functions of MERs in supporting student learning are to complement information or processes, to constrain the interpretation of abstract concepts, and to construct new viable conceptions. Over decades, research has shown that genetics remains linguistically and conceptually difficult for high school students. This case study using data from multiple sources enabled students'' development of genetics reasoning to be interpreted from an epistemological perspective. Pretest-posttest comparison after six weeks showed that most of the students (n=20) had improved their genetics reasoning but only for easier reasoning types. Findings indicated that the MERs in BioLogica contributed to students'' development of genetics reasoning by engendering their motivation and interest but only when students were mindful in their learning. Based on triangulation of data from multiple sources, MERs in BioLogica appeared to support learning largely by constraining students'' interpretation of phenomena of genetics.

  1. Case modifying of high-speed cutting database based on CSP and similarity theory

    Institute of Scientific and Technical Information of China (English)

    Kejun XIANG; Zhanqiang LIU; Xing AI

    2009-01-01

    By analyzing the reasoning of a high-speed cutting database system, a case modifying method is put forward. According to the variables' difference of the solution part in a case, a constraint satisfaction problem (CSP) and similarity calculation are used to modify a case. The constraint relationship of discrete variables is described by establishing a rule knowledge base. The algorithm of CSP is used to solve the discrete variable constraint problem. On the basis of the high-speed cutting theory, a similarity calculation formula is deduced to calculate the consecutive variables. The CSP and similarity calculation are applied to case modifying, which is possible to automatically modify cases in the high-speed cutting database system.

  2. Reasoning about Unreliable Actions

    CERN Document Server

    White, Graham

    2012-01-01

    We analyse the philosopher Davidson's semantics of actions, using a strongly typed logic with contexts given by sets of partial equations between the outcomes of actions. This provides a perspicuous and elegant treatment of reasoning about action, analogous to Reiter's work on artificial intelligence. We define a sequent calculus for this logic, prove cut elimination, and give a semantics based on fibrations over partial cartesian categories: we give a structure theory for such fibrations. The existence of lax comma objects is necessary for the proof of cut elimination, and we give conditions on the domain fibration of a partial cartesian category for such comma objects to exist.

  3. Combinatorics and Reasoning

    CERN Document Server

    Maher, Carolyn A; Uptegrove, Elizabeth B

    2010-01-01

    "Combinatorics and Reasoning: Representing, Justifying and Building Isomorphisms" is based on the accomplishments of a cohort group of learners from first grade through high school and beyond, concentrating on their work on a set of combinatorics tasks. By studying these students, the editors gain insight into the foundations of proof building, the tools and environments necessary to make connections, activities to extend and generalize combinatoric learning, and even explore implications of this learning on the undergraduate level. This volume underscores the power of attending to b

  4. Combinatorics and Reasoning

    CERN Document Server

    Maher, Carolyn A; Uptegrove, Elizabeth B

    2011-01-01

    Combinatorics and Reasoning: Representing, Justifying and Building Isomorphisms is based on the accomplishments of a cohort group of learners from first grade through high school and beyond, concentrating on their work on a set of combinatorics tasks. By studying these students, the editors gain insight into the foundations of proof building, the tools and environments necessary to make connections, activities to extend and generalize combinatoric learning, and even explore implications of this learning on the undergraduate level. This volume underscores the power of attending to basic ideas i

  5. Interval valued weighted fuzzy reasoning based on OWA operator%基于OWA算子的区间值加权模糊推理

    Institute of Scientific and Technical Information of China (English)

    孙晓玲; 王宁

    2012-01-01

    In view of the problem of giving suitable weights to the interval-valued fuzzy production rules, OWA operator is introduced to the interval-valued fuzzy reasoning. A method of giving weights is introduced based on the OWA operator. According to this method, a reasoning algorithm for the interval-valued weighted fuzzy production rules based on interval-valued fuzzy set is proposed. In the process of the application of this method, the calculation method of fuzzy matching function value and the overall similarity measure are introduced based on OWA operator to calculate matching degree of the input facts and antecedent portion of the rules reasonable. Finally, the effectiveness and feasibility of the proposed interval valued weighted fuzzy reasoning algorithm is illustrated with an example.%针对如何对区间值模糊产生式规则赋予合理权值的问题,将OWA算子引入到区间值模糊推理中.介绍一种基于OWA算子的区间值赋权方法,根据此方法给出区间值模糊集上的加权模糊产生式规则的推理算法.在采用该算法的过程中,为合理地计算输入事实与规则前件的匹配程度,引入基于OWA算子的区间值模糊匹配函数值和总体贴近度的计算方法.实例分析表明了所给出的区间值模糊推理算法的有效性和可行性.

  6. Data Mining and Neural Network Techniques in Case Based System

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    This paper first puts forward a case-based system framework basedon data mining techniques. Then the paper examines the possibility of using neural n etworks as a method of retrieval in such a case-based system. In this system we propose data mining algorithms to discover case knowledge and other algorithms.

  7. Research on Ontology Reasoning Based on SWRL Rules%基于SWRL规则的本体推理研究

    Institute of Scientific and Technical Information of China (English)

    周亮; 黄志球; 倪川

    2015-01-01

    Ontology has a strong ability to express knowledge and has become a hot research topic in computer science currently. But on-tology has a weak ability in knowledge reasoning,which makes it a main bottleneck in spreading ontology technology. It will greatly im-prove the ability of reasoning by introducing Semantic Web Rule Language ( SWRL) into ontology,which can gain implicit knowledge. In this paper,introduce ontology into fault tree domain and study how to construct a FT domain ontology and SWRL. First,construct a FT domain ontology by Web Ontology Language. Second,transform the logical relationship among events of FT into SWRL. Finally,put these SWRL rules and the FT ontology into an inference engine JESS. Then new knowledge is produced and it is exploited for the rapid location of system faults. Through the experiment,it proves the correctness and effectiveness of proposed method.%本体具有较强的知识表达能力,目前已经成为计算机学科的一个研究热点。本体在知识推理方面的能力比较弱,已成为OWL技术推广应用的主要瓶颈。将语义Web规则语言( Semantic Web Rule Language,SWRL)引入到本体中,能大大改善本体的推理能力,从而挖掘出许多新的隐含知识。文中将本体引入到故障树领域中,对如何构建故障树本体及相应的SWRL规则进行了研究。首先采用OWL语言构建故障树领域本体,然后将故障树中事件之间的逻辑关系转化成SWRL规则语言,最后将故障树领域本体和SWRL规则放入JESS推理机中进行推理,能挖掘出故障树中的隐含知识,从而解决系统故障的快速定位。通过实验证明了文中提出方法的可行性和有效性。

  8. Associating Memory Through Case-Based Immune Mechanisms for Dynamic Job-Shop Scheduling

    Institute of Scientific and Technical Information of China (English)

    尹文君; 刘民; 吴澄

    2004-01-01

    Knowledge plays an active role in job-shop scheduling,especially in dynamic environments.A novel case-based immune framework was developed for static and dynamic job-shop problems,using the associative memory and knowledge reuse from case-based reasoning (CBR) and immune response mechanisms.A 2-level similarity index which combines both job routing and problem solution characteristics based on DNA matching ideas was defined for both the CBR and immune algorithms.A CBR-embedded immune algorithms (CBR-IAs) framework was then developed focusing on case retrieval and adaptation methods.In static environments,the CBR-IAs have excellent population diversity and fast convergence which are necessary for dynamic problems with jobs arriving and leaving continually.The results with dynamic scheduling problems further confirm the CBR-IAs effectiveness as a problem solving method with knowledge reuse.

  9. Towards case-based medical learning in radiological decision making using content-based image retrieval

    Directory of Open Access Journals (Sweden)

    Günther Rolf W

    2011-10-01

    Full Text Available Abstract Background Radiologists' training is based on intensive practice and can be improved with the use of diagnostic training systems. However, existing systems typically require laboriously prepared training cases and lack integration into the clinical environment with a proper learning scenario. Consequently, diagnostic training systems advancing decision-making skills are not well established in radiological education. Methods We investigated didactic concepts and appraised methods appropriate to the radiology domain, as follows: (i Adult learning theories stress the importance of work-related practice gained in a team of problem-solvers; (ii Case-based reasoning (CBR parallels the human problem-solving process; (iii Content-based image retrieval (CBIR can be useful for computer-aided diagnosis (CAD. To overcome the known drawbacks of existing learning systems, we developed the concept of image-based case retrieval for radiological education (IBCR-RE. The IBCR-RE diagnostic training is embedded into a didactic framework based on the Seven Jump approach, which is well established in problem-based learning (PBL. In order to provide a learning environment that is as similar as possible to radiological practice, we have analysed the radiological workflow and environment. Results We mapped the IBCR-RE diagnostic training approach into the Image Retrieval in Medical Applications (IRMA framework, resulting in the proposed concept of the IRMAdiag training application. IRMAdiag makes use of the modular structure of IRMA and comprises (i the IRMA core, i.e., the IRMA CBIR engine; and (ii the IRMAcon viewer. We propose embedding IRMAdiag into hospital information technology (IT infrastructure using the standard protocols Digital Imaging and Communications in Medicine (DICOM and Health Level Seven (HL7. Furthermore, we present a case description and a scheme of planned evaluations to comprehensively assess the system. Conclusions The IBCR-RE paradigm

  10. Effectiveness of Educational Program Based on the Theory of Reasoned Action to Decrease the Rate of Cesarean Delivery Among Pregnant Women in Fasa, Southern Iran

    Directory of Open Access Journals (Sweden)

    Ali Khan-Jeihooni

    2014-06-01

    Full Text Available Introduction: Cesarean section is considered as a major surgery accompanied by several complications. The present study aimed to determine the effect of educational intervention based on the theory of reasoned action to reduce the rate of cesarean section among pregnant women in Fasa, Southern Iran. Materials and Methods: This quasi-experimental study was performed on 100 (50 participants in each of the control and intervention groups primiparous women in the third trimester of pregnancy admitted to health centers of Fasa city, Fars province, Iran. The data-gathering tool was a multipart questionnaire containing demographic variables and the theory of reasoned action structures. After the pretest, the intervention group underwent exclusive training based on the theory of reasoned action. Then, after 3 months, both groups took part in the posttest. Data was analyzed by paired T-test, independent T-test and chi-square using SPSS-18 software. Results: A significant difference was found between the two groups regarding knowledge, evaluations behavioral outcomes, Behavioral beliefs and intention (P<0.001. Chi-square analysis showed a significant difference between the two groups regarding their performance (P<0.001. Conclusion: The present intervention was effective in increasing the pregnant women’s knowledge, evaluation of outcomes, attitude and strengthening their intention as well as performance. Therefore, it is suggested to use this model and other systematic straining for pregnant women to decrease the rate of cesarean section.

  11. EUROCONTROL-Systemic Occurrence Analysis Methodology (SOAM)-A 'Reason'-based organisational methodology for analysing incidents and accidents

    Energy Technology Data Exchange (ETDEWEB)

    Licu, Tony [EUROCONTROL-European Organization for the Safety of Air Navigation and Dedale Asia Pacific, Safety Team, Rue de la Fusee, 96, 1130 Brussels (Belgium)]. E-mail: antonio.licu@eurocontrol.int; Cioran, Florin [EUROCONTROL-European Organization for the Safety of Air Navigation and Dedale Asia Pacific, Safety Team, Rue de la Fusee, 96, 1130 Brussels (Belgium)]. E-mail: florin.cioran@eurocontrol.int; Hayward, Brent [EUROCONTROL-European Organization for the Safety of Air Navigation and Dedale Asia Pacific, Safety Team, Rue de la Fusee, 96, 1130 Brussels (Belgium)]. E-mail: bhayward@dedale.net; Lowe, Andrew [EUROCONTROL-European Organization for the Safety of Air Navigation and Dedale Asia Pacific, Safety Team, Rue de la Fusee, 96, 1130 Brussels (Belgium)]. E-mail: alowe@dedale.net

    2007-09-15

    The Safety Occurrence Analysis Methodology (SOAM) developed for EUROCONTROL is an accident investigation methodology based on the Reason Model of organisational accidents. The purpose of a SOAM is to broaden the focus of an investigation from human involvement issues, also known as 'active failures of operational personnel' under Reason's original model, to include analysis of the latent conditions deeper within the organisation that set the context for the event. Such an approach is consistent with the tenets of Just Culture in which people are encouraged to provide full and open information about how incidents occurred, and are not penalised for errors. A truly systemic approach is not simply a means of transferring responsibility for a safety occurrence from front-line employees to senior managers. A consistent philosophy must be applied, where the investigation process seeks to correct deficiencies wherever they may be found, without attempting to apportion blame or liability.

  12. A Predicate Based Fault Localization Technique Based On Test Case Reduction

    Directory of Open Access Journals (Sweden)

    Rohit Mishra

    2015-08-01

    Full Text Available ABSTRACT In todays world software testing with statistical fault localization technique is one of most tedious expensive and time consuming activity. In faulty program a program element contrast dynamic spectra that estimate location of fault. There may have negative impact from coincidental correctness with these technique because in non failed run the fault can also be triggered out and if so disturb the assessment of fault location. Now eliminating of confounding rules on the recognizing the accuracy. In this paper coincidental correctness which is an effective interface is the reason of success of fault location. We can find out fault predicates by distribution overlapping of dynamic spectrum in failed runs and non failed runs and slacken the area by referencing the inter class distances of spectra to clamp the less suspicious candidate. After that we apply coverage matrix base reduction approach to reduce the test cases of that program and locate the fault in that program. Finally empirical result shows that our technique outshine with previous existing predicate based fault localization technique with test case reduction.

  13. BEAT: A Web-Based Boolean Expression Fault-Based Test Case Generation Tool

    Science.gov (United States)

    Chen, T. Y.; Grant, D. D.; Lau, M. F.; Ng, S. P.; Vasa, V. R.

    2006-01-01

    BEAT is a Web-based system that generates fault-based test cases from Boolean expressions. It is based on the integration of our several fault-based test case selection strategies. The generated test cases are considered to be fault-based, because they are aiming at the detection of particular faults. For example, when the Boolean expression is in…

  14. Suppression of Ammonia Volatilization from Urea-Based Fertilizers Using Urease Inhibitors: A Reasonably Available Control Technology for Agriculture?

    Science.gov (United States)

    Robarge, W. P.

    2015-12-01

    Ammonia loss from fertilizers can impact formation of atmospheric aerosols, as well as contribute to nitrogen (N) deposition in terrestrial and aquatic ecosystems. Urea is the predominant form of N fertilizer used worldwide due to its high N content (46.6% N) and low cost. Once in contact with soil or vegetation, urea is hydrolyzed to ammonium via naturally occurring urease enzymes. Losses of N from surface applied urea as ammonia can exceed 30%. To address this issue, various physical and chemical mechanisms have been incorporated into granular urea. The most common approach is incorporation of urease inhibitors such as N-(n-butyl) thiophosphoric triamide (NBPT). We have been investigating ammonia volatilization from urea granules (+/- urease inhibitors) in various field and laboratory controlled experiments for the past several years. Laboratory experiments are conducted with a customized growth chamber system designed to continuously measure ammonia volatilization. Field measurements are conducted using a passive sampler technology with an acid-coated trap in PVC cylinders, or annular denuder technology using flow-through PVC chambers. Daily exchanges of acid-coated denuder tubes enhance the sensitivity of ammonia volatilization measurements for the urease-inhibitor treated product. Loss of N from commercial urea granules has ranged from 6 - ~ 35%, depending on ambient temperature. This loss typically occurs within the first 5-10 days under field conditions. Some urease-inhibitors can minimize loss of N via volatilization (NUE, but the consistency of inhibitors incorporating NBPT suggest that these formulations represent a reasonable available control technology for use in agriculture to reduce ammonia emissions.

  15. Plausible Reasoning in Modular Robotics and Human Reasoning

    Directory of Open Access Journals (Sweden)

    Claudiu Pozna

    2007-12-01

    Full Text Available Present paper continues the researches on cognitive system design. The goal ofthe paper is to illustrate the variety of models which can be constructed using the Bayesianplausible reasoning theory. The first case study develops a classical inverse kinematicalmodel into a Bayesian model. The second case study models the human reasoningpresented by the famous story of Sun Tzu: ‘Advance to Chengang by a hidden path’.

  16. A Framework for a Clinical Reasoning Knowledge Warehouse

    DEFF Research Database (Denmark)

    Vilstrup Pedersen, Klaus; Boye, Niels

    2004-01-01

    In many areas of the medical domain, the decision process i.e. reasoning, involving health care professionals is distributed, cooperative and complex. This paper presents a framework for a Clinical Reasoning Knowledge Warehouse that combines theories and models from Artificial Intelligence, Knowl...... level, reasoning participants can express their argument based opinions about a patient case, thereby enhancing the knowledge about the state of and plans for the patient. An opinion language that supports expressing a possible imprecise/uncertain opinion based on imprecise......In many areas of the medical domain, the decision process i.e. reasoning, involving health care professionals is distributed, cooperative and complex. This paper presents a framework for a Clinical Reasoning Knowledge Warehouse that combines theories and models from Artificial Intelligence......, Knowledge Management Systems and Business Intelligence to make context based, patient case specific analysis and knowledge management. The knowledge base integrates three sources of information that supports clinical reasoning: general information, guidelines and health records. New generalized knowledge...

  17. The case for implementing activity based costing.

    Science.gov (United States)

    Monge, Paul H; Bolinger-Perez, Nicole; Boysen, Kent

    2012-01-01

    ABC identifies profitable volumes to give managers information to better manage volumes. Managers must balance the demand for service while maintaining a reasonable profit margin. Disparate systems work extremely well for their intended purposes, but they do not communicate with one another. The strength of the data they hold individually may be leveraged when implementing ABC methodology. Mayo Clinic in Rochester, Minnesota implemented a pilot of ABC to evaluate CT services where there is a high volume, multiple service location for cost comparison, variety of patient acuity and service mix, and large capital investments.The goal was to reveal the actual cost of CT services at the procedural level.

  18. Supporting Case-Based Learning in Information Security with Web-Based Technology

    Science.gov (United States)

    He, Wu; Yuan, Xiaohong; Yang, Li

    2013-01-01

    Case-based learning has been widely used in many disciplines. As an effective pedagogical method, case-based learning is also being used to support teaching and learning in the domain of information security. In this paper, we demonstrate case-based learning in information security by sharing our experiences in using a case study to teach security…

  19. From Cases to Projects in Problem-Based Medical Education

    Science.gov (United States)

    Stentoft, Diana; Duroux, Meg; Fink, Trine; Emmersen, Jeppe

    2014-01-01

    Problem-based learning (PBL) based on patient cases has become a well-established worldwide educational approach in medical education. Recent studies indicate that case-based PBL when used throughout an entire curriculum may develop into a counter-productive routine for students as well as teachers. Consequently, there is a need to develop PBL…

  20. The Reasons for Different Results of Acquir-ing English and Chinese in China---One case of a Korean student

    Institute of Scientific and Technical Information of China (English)

    徐海艳

    2014-01-01

    This article mainly presents the phenomenon of results of acquiring different language in China as a Korean student. Obvi-ously, the acquiring of Chinese is much easier in China. Moreover, it puts forward reasons of dif-ferent languages’ effects, which are attitude, motivation between Chinese and English.

  1. Thanatophoric dysplasia: case-based bioethical analysis

    Directory of Open Access Journals (Sweden)

    Edgar Abarca López

    2014-04-01

    Full Text Available This paper presents a case report of thanatophoric displasia diagnosed in the prenatal period using ultrasound standards. The course of the case pregnancy, birth process, and postnatal period is described. This report invites bioethical analysis using its principles, appealing to human dignity, diversity and otherness, particularly in the mother-child dyad and their family. An early diagnosis allows parental support as they face the course of this condition and its potentially fatal outcome.

  2. 云计算环境下的SWRL规则分布式推理框架%A cloud computing based SWRL distributed reasoning framework

    Institute of Scientific and Technical Information of China (English)

    李韧; 杨丹; 胡海波; 谢娟; 吴云松; 傅鹂

    2013-01-01

    With the explosion of semantic web technologies, large amounts of OWL ontologies are common place. Conventional rule engines inevitably meet the bottleneck of computing performance and scalability. A cloud computing based SWRL distributed reasoning framework named CloudSWRL is proposed. Based on the Hadoop open-source framework and SWRL semantics, the storage schema for OWL ontologies is designed to implement efficient data retrieving from HBase. Some novel data models for SWRL rules and intermediate data are defined. At last, a MapReduce paradigm based distributed SWRL reasoning algorithm is proposed under DL-safe restriction. An experiment on a simulation environment shows our framework is more efficient and scalable than conventional rule engines when reasoning over large-scale of OWL data.%为解决传统推理引擎在进行大规模OWL本体数据的SWRL规则推理时存在的计算性能和可扩展性不足等问题,提出了云计算环境下的SWRL规则分布式推理框架CloudSWRL.根据SWRL规则语义,并以Hadoop开源云计算框架为基础,设计了OWL本体在HBase分布式数据库中的存储策略,定义了SWRL规则解析模型和相关推理中间数据模型,提出了在DL-safe限制下基于MapReduce的SWRL规则分布式推理算法.实验结果表明,在对大规模OWL本体进行SWRL规则推理时,CloudSWRL框架在计算性能和可扩展性方面均优于传统推理引擎.

  3. Case-based reactive navigation: a method for on-line selection and adaptation of reactive robotic control parameters.

    Science.gov (United States)

    Ram, A; Arkin, R C; Moorman, K; Clark, R J

    1997-01-01

    We present a new line of research investigating on-line adaptive reactive control mechanisms for autonomous intelligent agents. We discuss a case-based method for dynamic selection and modification of behavior assemblages for a navigational system. The case-based reasoning module is designed as an addition to a traditional reactive control system, and provides more flexible performance in novel environments without extensive high level reasoning that would otherwise slow the system down. The method is implemented in the ACBARR (case-based reactive robotic) system and evaluated through empirical simulation of the system on several different environments, including "box canyon" environments known to be problematic for reactive control systems in general.

  4. Metacognition and abstract reasoning.

    Science.gov (United States)

    Markovits, Henry; Thompson, Valerie A; Brisson, Janie

    2015-05-01

    The nature of people's meta-representations of deductive reasoning is critical to understanding how people control their own reasoning processes. We conducted two studies to examine whether people have a metacognitive representation of abstract validity and whether familiarity alone acts as a separate metacognitive cue. In Study 1, participants were asked to make a series of (1) abstract conditional inferences, (2) concrete conditional inferences with premises having many potential alternative antecedents and thus specifically conducive to the production of responses consistent with conditional logic, or (3) concrete problems with premises having relatively few potential alternative antecedents. Participants gave confidence ratings after each inference. Results show that confidence ratings were positively correlated with logical performance on abstract problems and concrete problems with many potential alternatives, but not with concrete problems with content less conducive to normative responses. Confidence ratings were higher with few alternatives than for abstract content. Study 2 used a generation of contrary-to-fact alternatives task to improve levels of abstract logical performance. The resulting increase in logical performance was mirrored by increases in mean confidence ratings. Results provide evidence for a metacognitive representation based on logical validity, and show that familiarity acts as a separate metacognitive cue.

  5. Public Reason Renaturalized

    DEFF Research Database (Denmark)

    Tønder, Lars

    2014-01-01

    This article takes up recent discussions of nature and the sensorium in order to rethink public reason in deeply divided societies. The aim is not to reject the role of reason-giving but rather to infuse it with new meaning, bringing the reasonable back to its sensorially inflected circumstances....

  6. Inductive Reasoning and Writing

    Science.gov (United States)

    Rooks, Clay; Boyd, Robert

    2003-01-01

    Induction, properly understood, is not merely a game, nor is it a gimmick, nor is it an artificial way of explaining an element of reasoning. Proper understanding of inductive reasoning--and the various types of reasoning that the authors term inductive--enables the student to evaluate critically other people's writing and enhances the composition…

  7. Teaching for Ethical Reasoning

    Science.gov (United States)

    Sternberg, Robert J.

    2012-01-01

    This article argues for the importance of teaching for ethical reasoning. Much of our teaching is in vain if it is not applied to life in an ethical manner. The article reviews lapses in ethical reasoning and the great costs they have had for society. It proposes that ethical reasoning can be taught across the curriculum. It presents an eight-step…

  8. From single-case studies to practice-based knowledge: aggregating and synthesizing case studies.

    Science.gov (United States)

    Iwakabe, Shigeru; Gazzola, Nicola

    2009-07-01

    Recent developments in case study methodology reflect a rising interest that clinicians and researchers share in building a clinically useful and empirically sound knowledge base from single-case studies. The present article describes three types of single-case studies (clinical, experimental, systematic) and examines their potential contributions to psychotherapy research. It then lays out three ways in which single-case studies can be aggregated and synthesized to enhance clinical understanding: (a) a case database that allows clinicians to efficiently search for relevant cases, (b) a metasynthesis of single-case studies that integrates common themes across similar cases, and (c) an individual case comparison method in which closely matched cases are compared to identify both therapeutic and hindering processes.

  9. A connectionist framework for reasoning: Reasoning with examples

    Energy Technology Data Exchange (ETDEWEB)

    Roth, D. [Weizmann Inst. of Science (Israel)

    1996-12-31

    We present a connectionist architecture that supports almost instantaneous deductive and abductive reasoning. The deduction algorithm responds in few steps for single rule queries and in general, takes time that is linear with the number of rules in the query. The abduction algorithm produces an explanation in few steps and the best explanation in time linear with the size of the assumption set. The size of the network is polynomially related to the size of other representations of the domain, and may even be smaller. We base our connectionist model on Valiant`s Neuroidal model (Val94) and thus make minimal assumptions about the computing elements, which are assumed to be classical threshold elements with states. Within this model we develop a reasoning framework that utilizes a model-based approach to reasoning (KKS93; KR94b). In particular, we suggest to interpret the connectionist architecture as encoding examples of the domain we reason about and show how to perform various reasoning tasks with this interpretation. We then show that the representations used can be acquired efficiently from interactions with the environment and discuss how this learning process influences the reasoning performance of the network.

  10. False diagnosis of type 1 diabetes mellitus and its complications in Wolfram syndrome--is it the reason for the low number of reported cases of this abnormality?

    Science.gov (United States)

    Homa, Katarzyna; Stefański, Adam; Zmysłowska, Agnieszka; Molęda, Piotr; Bryśkiewicz, Marta Ewa; Majkowska, Liliana

    2014-01-01

    Wolfram syndrome (WS), also known as DIDMOAD (Diabetes Insipidus, Diabetes Mellitus, Optic Atrophy and Deafness), is a rare autosomal recessive syndrome (1/770,000 in the United Kingdom), characterised by juvenile onset of diabetes mellitus, optic nerve atrophy, diabetes insipidus, sensorineural deafness, renal tract and neurological abnormalities, and primary gonadal atrophy. WS is caused mainly by biallelic mutations in the WFS1 gene, which encodes wolframin. Wide tissue distribution of wolframin and many mutations in the wolframin gene resulting in Wolfram syndrome may contribute to different phenotypes and the unusual combinations of clinical features. We describe a female patient with Wolfram syndrome diagnosed at the age of 25, with a previous false diagnosis of type 1 diabetes mellitus and misdiagnosed diabetic complications. The patient was found to be a compound heterozygote for two novel mutations in exon 8 of WFS1 gene: a 2-bp deletion AT at nt 1539 leading to a frameshift (Y513fs) and a single-base substitution 1174C > T resulting in a stop codon (Q392X). A detailed analysis of the patient's medical history and a review of the literature suggest that many cases of Wolfram syndrome may remain undiagnosed due to misdiagnosis as type 1 diabetes mellitus and incorrect interpretation of clinical symptoms of neurodegenerative abnormalities, especially in their early stages.

  11. The sufficient cause principle and reasoning about action

    NARCIS (Netherlands)

    Grünwald, P.D.

    1997-01-01

    Most `causal' approaches to reasoning about action have not addressed the basic question of causality directly: what has to be the case in a domain in order for the assertion `$A$ causes $B$' to be valid with respect to the domain? Pearl's recent causal theories based on {em structural equations/ do

  12. Challenges in Analogical Reasoning

    CERN Document Server

    Lin, Shih-Yin

    2016-01-01

    Learning physics requires understanding the applicability of fundamental principles in a variety of contexts that share deep features. One way to help students learn physics is via analogical reasoning. Students can be taught to make an analogy between situations that are more familiar or easier to understand and another situation where the same physics principle is involved but that is more difficult to handle. Here, we examine introductory physics students' ability to use analogies in solving problems involving Newton's second law. Students enrolled in an algebra-based introductory physics course were given a solved problem involving tension in a rope and were then asked to solve another problem for which the physics is very similar but involved a frictional force. They were asked to point out the similarities between the two problems and then use the analogy to solve the friction problem.

  13. Teaching Communication with Ethics-Based Cases.

    Science.gov (United States)

    Stevens, Betsy

    1996-01-01

    Argues the importance of presenting ethics and communication as twin concepts in the management communication class. Presents two cases useful in the classroom that address two contemporary issues (harassment in the workplace and the consumption of alcohol by pregnant women) that have implications for business professionals and allow students to…

  14. Collaborative Time-based Case Work

    DEFF Research Database (Denmark)

    Bohøj, Morten; Bouvin, Niels Olof

    2009-01-01

    We explore in this paper using timelines to represent bureaucratic processes in a municipal setting. The system described herein enables citizens and case workers to collaborate over the application for and configuration of parental leave, which is a highly involved process under Danish law....

  15. A Translation Case Analysis Based on Skopos Theory

    Institute of Scientific and Technical Information of China (English)

    盖孟姣

    2015-01-01

    This paper is a translation case analysis based on Skopos Theory.This paper choose President Xi’s New Year congratulations of 2015 as analysis text and gives the case analysis.This paper focuses on translating the text based on Skopos Theory.

  16. 锅炉集汽集箱热电偶套管断裂原因分析%Analysis About the Reason of Thermocouple Casing on Boiler Stream Header Cracking

    Institute of Scientific and Technical Information of China (English)

    张军; 王晓东; 谭伟

    2012-01-01

    Introduced the thermocouple casing on boiler stream header measuring main steam tenperature cannula suddenly breaking;Analyzed the reasons of thermocouple on boiler stream header cracked.%对锅炉集汽集箱测量主蒸汽温度的热电偶套管突然断裂情况进行了说明,并对断裂的原因进行了分析和讨论。

  17. A Practical Analysis of Analogical Reasoning in the Process of Case Law Application%类比推理在英美判例法适用中的实践分析

    Institute of Scientific and Technical Information of China (English)

    江慎祥

    2011-01-01

    类比推理是英美判例法适用的最重要的方法,也是其通常意义上区别于大陆成文法适用的重要方面。英美法判例的适用是一个融合了各种不同形式推理的过程,而学者们大都语焉不详的在该问题上以"遵循先例原则"草草带过,具体的判例法怎样以一种类比的方法进行适用则仍然让人感觉形影绰绰。%Analogical reasoning is the most important method in the process of Anglo-American case lawapplication. And generally speaking,this kind of method also has unique characteristics when compared with the civil law system.The application of case law is a blend of various forms of reasoning process,but most of the scholars did not give us a clear statement on this issue.Howthe analogical reasoning used in the specific case lawis still unclear.

  18. Effective Teaching in Case-Based Education: Patterns in Teacher Behavior and Their Impact on the Students' Clinical Problem Solving and Learning

    Science.gov (United States)

    Ramaekers, Stephan; van Keulen, Hanno; Kremer, Wim; Pilot, Albert; van Beukelen, Peter

    2011-01-01

    Case-based learning formats, in which relevant case information is provided just in time, require teachers to combine their scaffolding role with an information-providing one. The objective of this study is to establish how this combination of roles affects teacher behavior and that, in turn, mediates students' reasoning and problem solving. Data…

  19. Facilitated learning model to teach habits of evidence-based reasoning across an integrated master of science in occupational therapy curriculum.

    Science.gov (United States)

    Cohn, Ellen S; Coster, Wendy J; Kramer, Jessica M

    2014-01-01

    We describe an integrated master of science in occupational therapy curriculum and a coordinated sequence of evidence-based practice (EBP) courses that incorporate systematic, pragmatic teaching strategies to develop students' EBP skills and habits of reasoning. The EBP courses focus sequentially on the occupational lives of clients and methods for gaining information about occupational performance and needs; appraising the internal, external, and statistical validity of intervention evidence; and generating evidence from one's own practice to answer questions about individual or group client outcomes. All EBP courses use facilitated learning processes that encourage graduate students to take responsibility for their own learning, guided by a carefully structured series of assignments. The integrated curriculum scaffolds the translation and application of previously learned knowledge and skills, including EBP knowledge, into different contexts. Student survey data suggest that graduating students view EBP as an integral part of the clinical process and begin to internalize the habits necessary to be evidence-based practitioners.

  20. Why am I in Primary School Mathematics Teacher Education Program? An analysis of Reasons and Expectations in the Context of Gender and Academic Achievement: Case of Kastamonu University

    Directory of Open Access Journals (Sweden)

    Lütfi İNCİKABI

    2016-12-01

    Full Text Available The purpose of this study was to determine teacher candidates’ reasons for and their expectations from the mathematics teacher education program and to reveal the situation in the context of gender and academic success. Being descriptive in nature, the data was analyzed through the content analysis. 102 fourth grade students attending Kastamonu University primary school mathematics teacher education program participated in the research. According to research findings, external factors such as family, university entrance exam score, teacher influence were found to be effective among the reasons for preference of prospective teachers. Similarly, both low and high achieving teacher candidates were mainly attributed their reasons’ for selecting mathematics teachers education programmes to the external factors. It has been seen that the expectations of the prospective teachers concentrate on the themes of professional development, academic development and social development.. Male teacher candidates emphasized professional development while female candidates highlighted academic improvement, and social improvement factors. Mathematics teacher candidates from different level of success more adverted the expectancy of gaining of mathematics teaching skill.

  1. FUZZY REASONING IN CYCLES

    Institute of Scientific and Technical Information of China (English)

    曹立明

    1990-01-01

    By the similarity between the syllogism in logic and a path proposition in graph theory,a new concept,fuzzy reasoning graph G has been given in this paper. Transitive closure has been studied and used to do reasoning related to self-loop in G,and an algorithm has been designed to cope with reasoning in other cycles in G. Both approaches are applicable and efficient.

  2. Metacognition and reasoning

    OpenAIRE

    Fletcher, Logan; Carruthers, Peter

    2012-01-01

    This article considers the cognitive architecture of human meta-reasoning: that is, metacognition concerning one's own reasoning and decision-making. The view we defend is that meta-reasoning is a cobbled-together skill comprising diverse self-management strategies acquired through individual and cultural learning. These approximate the monitoring-and-control functions of a postulated adaptive system for metacognition by recruiting mechanisms that were designed for quite other purposes.

  3. Metacognition and reasoning.

    Science.gov (United States)

    Fletcher, Logan; Carruthers, Peter

    2012-05-19

    This article considers the cognitive architecture of human meta-reasoning: that is, metacognition concerning one's own reasoning and decision-making. The view we defend is that meta-reasoning is a cobbled-together skill comprising diverse self-management strategies acquired through individual and cultural learning. These approximate the monitoring-and-control functions of a postulated adaptive system for metacognition by recruiting mechanisms that were designed for quite other purposes.

  4. Analysis on reasons of hearing aid fitting failure in 58 cases%助听器验配失败58例原因分析

    Institute of Scientific and Technical Information of China (English)

    王德平; 苏俊波; 骆文龙

    2016-01-01

    目的:分析助听器验配失败原因,寻找影响助听器验配的因素,从而指导耳聋康复工作的进行。方法通过对2015年3月1日至2016年3月1日该院收治的58例助听器验配失败的双侧重度感音神经性耳聋患者的问卷调查,分析助听器验配失败的原因。结果助听器验配失败原因以患者主观认为听力不重要[29.3%(17/58)]、配戴不适[25.9%(15/58)]、经济原因[20.7%(12/58)]居多。在病程内进行耳鼻咽喉头颈外科专科医生提供的耳聋康复治疗时间大于或等于2周组患者中认为配戴不适是导致验配失败的主要原因者[9/21(42.9%)]多于小于2周组[6/37(16.2%)],差异有统计学意义(χ2=4.959,P=0.026)。结论接受、使用助听器是多因素作用结果,受主观重视、经济支持、配戴舒适、家人支持等多重因素的影响。%Objective To analyze the reasons of failing in hearing aid fitting to find out factors affecting the hearing aid fitting for guiding the deafness rehabilitation work. Methods Fifty-eight patients with bilateral severe sensorineural deafness and hearing aid fitting failure in our hospital from March 1,2015 to March 1,2016 were surveyed by questionnaire for analyzing the reasons of hearing aid fitting failure. Results The reasons for failing to hearing aid fitting were mainly that the patient′s subjec tive thinking of hearing unimportance[29.3%(17/58)],uncomfortable hearing aid fitting[25.9%(15/58)] and economic reasons [20.7%(12/58)]. Those patients receiving the rehabilitation treatment from otorhinolaryngologists≥2 weeks during the disease course thinking that hearing aid discomfort was the main reason leading to hearing aid fitting failure were more than those patients receiving treatment<2 weeks[9/21(42.9%)vs. 6/37(16.2%),χ2=4.959,P=0.026 ]. Conclusion Receiving and using hearing aid are the results of many factors action,which are affected by multi-factors of subjective

  5. Teaching Inductive Reasoning in Primary Education.

    Science.gov (United States)

    de Koning, Els; Hamers, Jo H. M.; Sijtsma, Klaas; Vermeer, Adri

    2002-01-01

    Used a three-phase teaching procedure based on the development of metacognition to extend emphasis on inductive reasoning in primary education to Grades 3 and 4. Found that teachers could apply the programs as intended, but needed support to shift attention from reasoning product to reasoning process. Program learning effects indicated that better…

  6. Representing and Reasoning with the Internet of Things: a Modular Rule-Based Model for Ensembles of Context-Aware Smart Things

    Directory of Open Access Journals (Sweden)

    S. W. Loke

    2016-03-01

    Full Text Available Context-aware smart things are capable of computational behaviour based on sensing the physical world, inferring context from the sensed data, and acting on the sensed context. A collection of such things can form what we call a thing-ensemble, when they have the ability to communicate with one another (over a short range network such as Bluetooth, or the Internet, i.e. the Internet of Things (IoT concept, sense each other, and when each of them might play certain roles with respect to each other. Each smart thing in a thing-ensemble might have its own context-aware behaviours which when integrated with other smart things yield behaviours that are not straightforward to reason with. We present Sigma, a language of operators, inspired from modular logic programming, for specifying and reasoning with combined behaviours among smart things in a thing-ensemble. We show numerous examples of the use of Sigma for describing a range of behaviours over a diverse range of thing-ensembles, from sensor networks to smart digital frames, demonstrating the versatility of our approach. We contend that our operator approach abstracts away low-level communication and protocol details, and allows systems of context-aware things to be designed and built in a compositional and incremental manner.

  7. 基于模糊推理的彩色图像噪音消除算法%Noise removal algorithm for color image based on fuzzy reasoning

    Institute of Scientific and Technical Information of China (English)

    朱亚兴; 钟灵; 余爱民

    2012-01-01

    为有效消除彩色图像在采集和传输过程中出现的随机脉冲噪音,提出了一种基于模糊推理的矢量中值滤波算法.该算法通过设计的模糊规则判断当前滤波窗口对应是否为细节区域,采用不同参数的经典矢量中值滤波进行处理.若未被判断为噪音时,原滤波窗口中心像素会保留.通过与目前常见的各类矢量滤波算法进行比较,该算法在图像细节的保留上有较好效果.%To remove the random impulse niose introduced during the signal trsansmission and acquisition, a new vector median filter algorithm based on fuzzy reasoning is proposed. The approach utilizes the fuzzy rules to judge whether details exist in current filtering window. Different filter methods are adopted according to the fuzzy reasoning result. When not being regarded as noise pixel, the original pixel is retained. The experiments show that the fuzzy filter algorithm outperforms other state-of-the-art filters.

  8. Secondary School Students' Understanding of Science and Their Socioscientific Reasoning

    Science.gov (United States)

    Karahan, Engin; Roehrig, Gillian

    2016-06-01

    Research in socioscientific issue (SSI)-based interventions is relatively new (Sadler in Journal of Research in Science Teaching 41:513-536, 2004; Zeidler et al. in Journal of Research in Science Teaching 46:74-101, 2009), and there is a need for understanding more about the effects of SSI-based learning environments (Sadler in Journal of Research in Science Teaching 41:513-536, 2004). Lee and Witz (International Journal of Science Education 31:931-960, 2009) highlighted the need for detailed case studies that would focus on how students respond to teachers' practices of teaching SSI. This study presents case studies that investigated the development of secondary school students' science understanding and their socioscientific reasoning within SSI-based learning environments. A multiple case study with embedded units of analysis was implemented for this research because of the contextual differences for each case. The findings of the study revealed that students' understanding of science, including scientific method, social and cultural influences on science, and scientific bias, was strongly influenced by their experiences in SSI-based learning environments. Furthermore, multidimensional SSI-based science classes resulted in students having multiple reasoning modes, such as ethical and economic reasoning, compared to data-driven SSI-based science classes. In addition to portraying how participants presented complexity, perspectives, inquiry, and skepticism as aspects of socioscientific reasoning (Sadler et al. in Research in Science Education 37:371-391, 2007), this study proposes the inclusion of three additional aspects for the socioscientific reasoning theoretical construct: (1) identification of social domains affecting the SSI, (2) using cost and benefit analysis for evaluation of claims, and (3) understanding that SSIs and scientific studies around them are context-bound.

  9. Reasonable partiality in professional relationships.

    Science.gov (United States)

    Almond, Brenda

    2005-04-01

    First, two aspects of the partiality issue are identified: (1) Is it right/reasonable for professionals to favour their clients' interests over either those of other individuals or those of society in general? (2) Are special non-universalisable obligations attached to certain professional roles? Second, some comments are made on the notions of partiality and reasonableness. On partiality, the assumption that only two positions are possible--a detached universalism or a partialist egoism--is challenged and it is suggested that partiality, e.g. to family members, lies between these two positions, being neither a form of egoism, nor of impersonal detachment. On reasonableness, it is pointed out that 'reasonable' is an ambiguous concept, eliding the notions of the 'morally right' and the 'rational.' Third, a series of practical examples are taken from counselling, medicine, law, education and religious practice and some common principles are abstracted from the cases and discussed. These include truth-telling, confidentiality, conflicts of interest between clients and particular others and between clients and society. It is concluded that while partiality can be justified as a useful tool in standard cases, particular circumstances can affect the final verdict.

  10. The Reason Inguinal Hernia Recurrence Analysis of 41 Cases%41例腹股沟疝术后复发的原因分析

    Institute of Scientific and Technical Information of China (English)

    窦君峰

    2014-01-01

    目的分析探讨腹股沟疝术后复发的原因,指导临床治疗方案的实施。方法对2010~2013年536例腹股沟疝患者手术治疗后进行1~2年的随访,观察术后复发情况及分析复发的具体原因。结果2年随访共有41例腹股沟疝患者术后复发,复发率为7.65%。分析腹股沟疝患者术后复发的具体原因,包括以下方面:未能彻底处理术前并发症;手术操作失误;术后并发症以及术后过早参与重体力活动等。结论多种原因可造成腹股沟疝术后复发,注意围手术期的各个环节,可尽量减少腹股沟疝术后复发率。%Objective To analyze the causes of recurrent inguinal hernia surgery, to guide the implementation of the clinical treatment. Methods 536 patients with inguinal hernia surgery from 2010 to 2013 in 1 ~ 2 years of fol ow-up after treatment, observation of postoperative relapse and recurrence analysis specific reasons. Results 2 years fol ow-up of a total of 41 patients with inguinal hernia recurrence, the recurrence rate was 7.65%. Analysis of the specific reason for inguinal hernia patients postoperative recurrence, including the fol owing aspects: [1]failed to completely deal with preoperative complications; [2]operation mistakes; [3]the postoperative complications, and postoperative early to participate in heavy physical activity, etc. Conclusion A variety of reasons can cause postoperative recurrent inguinal hernia, pay at ention to perioperative each link, can minimize the inguinal hernia recurrence after surgery.

  11. 基于合理租售比的青岛市住宅市场分析%A Study on Housing Market based on Reasonable Ratio of House Price to Rental in Qingdao

    Institute of Scientific and Technical Information of China (English)

    张钦钦; 闫弘文; 刘玲玲

    2013-01-01

    Based on theoretical analysis of ratio of house price to rental,the calculation model of reasonable ratio of house price to rental was established according to the data of residential land transfer and the trading case of the real estate market in Qingdao.Calculating the actual ratio of house price to rental about all levels of land,the results show that the difference of the actual ratio of house price to rental and reasonable ratio of house price to rental is big,it turned out that there are some bubbles in real estate market of Qingdao.Analysis the reasons and puts forward the related suggestion,and guide the healthy and stable development of real estate market in Qingdao.%  本文在租售比理论分析的基础上,根据青岛市土地出让和房地产市场交易案例,建立了青岛市合理租售比计算模型,测算了城区各级别土地的实际租售比。结果显示,青岛市城区各级别实际租售比与合理租售比差异较大,表明青岛市房地产市场存在一定的泡沫。本文对其原因进行了分析,并提出了相关建议,以期引导青岛市房地产市场健康稳定发展。

  12. Graph-based inductive reasoning.

    Science.gov (United States)

    Boumans, Marcel

    2016-10-01

    This article discusses methods of inductive inferences that are methods of visualizations designed in such a way that the "eye" can be employed as a reliable tool for judgment. The term "eye" is used as a stand-in for visual cognition and perceptual processing. In this paper "meaningfulness" has a particular meaning, namely accuracy, which is closeness to truth. Accuracy consists of precision and unbiasedness. Precision is dealt with by statistical methods, but for unbiasedness one needs expert judgment. The common view at the beginning of the twentieth century was to make the most efficient use of this kind of judgment by representing the data in shapes and forms in such a way that the "eye" can function as a reliable judge to reduce bias. The need for judgment of the "eye" is even more necessary when the background conditions of the observations are heterogeneous. Statistical procedures require a certain minimal level of homogeneity, but the "eye" does not. The "eye" is an adequate tool for assessing topological similarities when, due to heterogeneity of the data, metric assessment is not possible. In fact, graphical assessments precedes measurement, or to put it more forcefully, the graphic method is a necessary prerequisite for measurement.

  13. PENGEMBANGAN CASE BASE LEARNING PADA MATA KULIAH PEREKONOMIAN INDONESIA

    Directory of Open Access Journals (Sweden)

    Hastarini Dwi Atmani

    2011-05-01

    Full Text Available In this time, teacher centered learning is a methods in part of higher education in Indonsia. This method, students passively receive information.Case base learning is an instructional design model that is a variant of project oriented learning. Cases are factually-based, complex problems written to stimulate classroom discussion and collaborative analysis. This one, students construct knowledge through gathering and synthesizing information and integrating it with the general skills of inquiry, communication, critical thinking, and problem solving. Key words : active learning, case base learning.

  14. Working memory, reasoning, and expertise in medicine-insights into their relationship using functional neuroimaging.

    Science.gov (United States)

    Hruska, Pam; Krigolson, Olav; Coderre, Sylvain; McLaughlin, Kevin; Cortese, Filomeno; Doig, Christopher; Beran, Tanya; Wright, Bruce; Hecker, Kent G

    2016-12-01

    Clinical reasoning is dependent upon working memory (WM). More precisely, during the clinical reasoning process stored information within long-term memory is brought into WM to facilitate the internal deliberation that affords a clinician the ability to reason through a case. In the present study, we examined the relationship between clinical reasoning and WM while participants read clinical cases with functional magnetic resonance imaging (fMRI). More specifically, we examined the impact of clinical case difficulty (easy, hard) and clinician level of expertise (2nd year medical students, senior gastroenterologists) on neural activity within regions of cortex associated with WM (i.e., the prefrontal cortex) during the reasoning process. fMRI was used to scan ten second-year medical students and ten practicing gastroenterologists while they reasoned through sixteen clinical cases [eight straight forward (easy) and eight complex (hard)] during a single 1-h scanning session. Within-group analyses contrasted the easy and hard cases which were then subsequently utilized for a between-group analysis to examine effects of expertise (novice > expert, expert > novice). Reading clinical cases evoked multiple neural activations in occipital, prefrontal, parietal, and temporal cortical regions in both groups. Importantly, increased activation in the prefrontal cortex in novices for both easy and hard clinical cases suggests novices utilize WM more so than experts during clinical reasoning. We found that clinician level of expertise elicited differential activation of regions of the human prefrontal cortex associated with WM during clinical reasoning. This suggests there is an important relationship between clinical reasoning and human WM. As such, we suggest future models of clinical reasoning take into account that the use of WM is not consistent throughout all clinical reasoning tasks, and that memory structure may be utilized differently based on level of expertise.

  15. Internet-based asthma education – A novel approach to compliance: A case report

    Science.gov (United States)

    O’Hara, Cindy; Vethanayagam, Dilini; Majaesic, Carina; Mayers, Irvin

    2006-01-01

    Asthma costs Canadians over $1.2 billion per annum and, despite advances, many asthmatic patients still have poor control. An action plan, symptom diary and measurement of peak expiratory flow have been shown to improve clinical outcomes. Effective educational interventions are an important component of good care. However, many rural sites lack not only access to education but physician care as well. It is reasonable, therefore, that an Internet-based asthma management program may be used as an approach. In the present case report, a novel approach that may increase access in these poorly serviced areas is presented. In an Internet-based asthma management program, patients are reviewed by a physician, receive education and are given a unique password that provides program access. Patients record symptoms and peak expiratory flow rates. The present case report shows that a patient can be assisted through an exacerbation, thus averting emergency intervention and stabilizing control, even when travelling on another continent. PMID:16470251

  16. Internet-based asthma education - a novel approach to compliance: a case report.

    Science.gov (United States)

    O'Hara, Cindy; Vethanayagam, Dilini; Majaesic, Carina; Mayers, Irvin

    2006-01-01

    Asthma costs Canadians over 1.2 billion dollars per annum and, despite advances, many asthmatic patients still have poor control. An action plan, symptom diary and measurement of peak expiratory flow have been shown to improve clinical outcomes. Effective educational interventions are an important component of good care. However, many rural sites lack not only access to education but physician care as well. It is reasonable, therefore, that an Internet-based asthma management program may be used as an approach. In the present case report, a novel approach that may increase access in these poorly serviced areas is presented. In an Internet-based asthma management program, patients are reviewed by a physician, receive education and are given a unique password that provides program access. Patients record symptoms and peak expiratory flow rates. The present case report shows that a patient can be assisted through an exacerbation, thus averting emergency intervention and stabilizing control, even when travelling on another continent.

  17. Evaluation of a novel case-based training program (d3web.Train) in hematology.

    Science.gov (United States)

    Kraemer, Doris; Reimer, Stanislaus; Hörnlein, Alexander; Betz, Christian; Puppe, Frank; Kneitz, Christian

    2005-11-01

    The new media such as the internet and digital imaging offer new opportunities in medical education. In addition to conventional lectures, we developed a case-based simulation training program of 17 hematology cases using the novel training system d3web.Train. We evaluated the assessment of this internet course by medical students, as well as their results in the hematology exam. From a group of 150 students, 47 worked through at least one case and solved 435 cases in total; in average, these students solved 9.5 cases. Eighteen different students filled in a questionnaire about the training system and 68 questionnaires about individual cases. The main results were the students found the cases very helpful (1.5+/-0.6 on a scale from 1=very helpful to 5=not at all), the training system very good (1.4+/-0.5 on a scale from 1 to 6), and want to work with it further (1.2+/-0.4 on a scale from 1 to 5). During the final examination, those 16 students who answered that they had solved more than 5 from the 17 cases scored significantly better (two-sided t test, phematological part of the exam than those 34 students solving 0 to 5 cases. To our knowledge, this is the first student evaluation of a case-based training program in general hematology. The d3web.Train system offers a new and great tool for creating a training program in a reasonable amount of time, because it is able to process available patient records.

  18. Intuition, Reason, and Metacognition

    Science.gov (United States)

    Thompson, Valerie A.; Prowse Turner, Jamie A.; Pennycook, Gordon

    2011-01-01

    Dual Process Theories (DPT) of reasoning posit that judgments are mediated by both fast, automatic processes and more deliberate, analytic ones. A critical, but unanswered question concerns the issue of monitoring and control: When do reasoners rely on the first, intuitive output and when do they engage more effortful thinking? We hypothesised…

  19. Approximate Qualitative Temporal Reasoning

    Science.gov (United States)

    2001-01-01

    Bettini, X. Wang, and S. Jajodia. A general framework for time granularity and its application to temporal reasoning. Annals of Mathematics and Artificial...Temporal representation and reasoning in artificial intelligence: Issues and approaches. Annals of Mathematics and Artificial Intelligence, 28, 2000...Quantum mereotopology. Annals of Mathematics and Artificial Intelli- gence, to appear. [42] A. C. Varzi. On the boundary between mereology and topology

  20. Predicting Reasoning from Memory

    Science.gov (United States)

    Heit, Evan; Hayes, Brett K.

    2011-01-01

    In an effort to assess the relations between reasoning and memory, in 8 experiments, the authors examined how well responses on an inductive reasoning task are predicted from responses on a recognition memory task for the same picture stimuli. Across several experimental manipulations, such as varying study time, presentation frequency, and the…

  1. Teaching to Reason

    Science.gov (United States)

    Riveros Rotge, Hector G.

    2014-01-01

    The objective of Physics courses is that the students learn how to use what they know to solve problems in the real world (competencies), but no one learns to do that seeing as the professor think in the blackboard. The program of a course uses topics as examples of reasoning. Reasoning involves the ability to use their knowledge. If we precisely…

  2. Reasoning about emotional agents

    NARCIS (Netherlands)

    Meyer, J.-J.

    2008-01-01

    In this paper we discuss the role of emotions in artificial agent design, and the use of logic in reasoning about the emotional or affective states an agent can reside in. We do so by extending the KARO framework for reasoning about rational agents appropriately. In particular we formalize in this f

  3. An Analysis of the Reason Why Tess Loses Virginity from Her Conver-sations with Alec in Tess of the D'Urbervilles Based on the Cooperative Principle

    Institute of Scientific and Technical Information of China (English)

    ZHANG Yu-jia

    2016-01-01

    Cooperative Principle is an essential linguistic theory in Pragmatics which is used to analyze the conversation. And the violation of maxims in Cooperative Principle can imply the conversational implicatures other than what is literally said. Based on the Cooperative Principle, this paper aims to exploit the implicatures and reasons after violating related maxims in conversa-tions that happens between Tess and Alec in Tess of the D'Urbervilles, and also aims to explain why Tess fails to protect herself and Alec succeeds in inducing Tess, Finally, It can be found that individual personality also contributes to Alec’s success and Tess’s losing virginity. Besides, data collection and analysis are applied to provide deeper evidences.

  4. A measles outbreak in Catania, Sicily: the importance of high vaccination coverage and early notification of cases for health and economic reasons.

    Science.gov (United States)

    Celesia, Benedetto Maurizio; Fontana, Rossella; Pinzone, Marilia Rita; Cuccia, Mario; Bellissimo, Francesco; Rapisarda, Liliana; Rinnone, Sebastiano; Rapisarda, Venerando; Pavone, Piero; Cacopardo, Bruno; Nunnari, Giuseppe

    2014-09-01

    Measles is a paediatric exanthematous disease. Even though vaccination has dramatically reduced measles morbidity and mortality, outbreaks still occur due to insufficient vaccination coverage and importation of the virus from endemic regions. Although child vaccination coverage in Italy has been broadened (from 74% in 2000 to 90.1% in 2011), outbreaks are still observed at a regional level. We describe epidemiological and clinical characteristics of cases reported from January 2009 to May 2010 to the Epidemiology Service of the Provincial Health Authority of Catania. We obtained demographic data and vaccination status from the database of the Epidemiology Service and clinical features and laboratory data from medical records. In all, 522 cases were notified: 286 males (54%), median age 12 years (interquartile range (IQR) 4-18); 401 cases (77%) were notified by the hospital, and 121 (23%) by general practitioners. Only one patient had been previously vaccinated. 52 cases were hospitalized, median age 18 years (IQR 17-23). We observed hypertransaminasaemia in 20 patients (38%), thrombocytopenia in 22 patients (42%) and a creatine phosphokinase increase in 16 (30%). Complications (pneumonia, haemorrhagic cystitis, acute hepatitis) occurred in 10 patients (19%), all older than 18. Recent outbreaks show that immunization practices are still insufficient. Most cases were recorded in adolescents and young adults; even if the vaccine has limited virus circulation in childhood, it did not prevent the infection of other age groups. The number of notifications also suggests that the phenomenon is underestimated. In order to monitor the disease we need early notification of cases and increased vaccination coverage.

  5. Case-Based Learning for Orofacial Pain and Temporomandibular Disorders.

    Science.gov (United States)

    Clark, Glenn T.; And Others

    1993-01-01

    The use of interactive computer-based simulation of cases of chronic orofacial pain and temporomandibular joint disfunction patients for clinical dental education is described. Its application as a voluntary study aid in a third-year dental course is evaluated for effectiveness and for time factors in case completion. (MSE)

  6. A Case-Based Learning Model in Orthodontics.

    Science.gov (United States)

    Engel, Francoise E.; Hendricson, William D.

    1994-01-01

    A case-based, student-centered instructional model designed to mimic orthodontic problem solving and decision making in dental general practice is described. Small groups of students analyze case data, then record and discuss their diagnoses and treatments. Students and instructors rated the seminars positively, and students reported improved…

  7. 5例艾滋病住院病人自杀原因分析%Analysis of suicide reason of 5 cases of hospitalized patients with AIDS

    Institute of Scientific and Technical Information of China (English)

    刘聪; 李芳; 李全敏; 刘红媚; 于肖楠; 蔡卫平

    2016-01-01

    Objective:To analyze the clinical characteristics and reasons of suicide of the hospitalized patients with acquired immunodeficiency syndrome(AIDS)and provide a reference basis for prevention of suicide.Meth-ods:The suicide incidents of five AIDS patients were by retrospectively investigated by using objective sampling method,the interviews were conducted for the medical staff who knew the suicide incidents.The interview data were analyzed,sorted and refined.Results:AIDS patients’suicide reasons might be:severe illness,loss of treat-ment confidence,the unacceptable AIDS diagnosis and disinformation,poor social support,not timely and effec-tive intervention.Conclusion:It could prevent the AIDS patients’suicide effectively to strengthen the propagan-da of AIDS related knowledge,reconstruct the family and social support system,alleviate disease shame,estab-lish the psychological assessment system of hospitalized AIDS patients,psychological intervention in time and strengthen the hospital safety management.%[目的]分析艾滋病住院病人自杀临床特点及原因,为自杀预防提供参考依据。[方法]采用目的抽样法对5例艾滋病病人自杀事件进行回顾性调查,并对知晓自杀事件的医护人员进行访谈,将访谈的资料进行分析、整理、提炼主题。[结果]艾滋病病人自杀原因可能是:病情重、失去治疗信心、无法接受艾滋病诊断及病耻感、社会支持差、未进行及时有效干预。[结论]通过加强宣传艾滋病相关知识、重建家庭与社会支持体系,减轻病耻感,建立住院艾滋病病人心理评估体系、及时进行心理干预,同时加强医院安全管理,可有效预防住院艾滋病病人的自杀事件。

  8. Knowledge and vision engines: a new generation of image understanding systems combining computational intelligence methods and model-based knowledge representation and reasoning

    Science.gov (United States)

    Kuvychko, Igor

    2000-10-01

    Vision is a part of a larger informational system that converts visual information into knowledge structures. These structures drive vision process, resolving ambiguity and uncertainty via feedback, and provide image understanding, that is an interpretation of visual information in terms of such knowledge models. The solution to Image Understanding problems is suggested in form of active multilevel hierarchical networks represented dually as discrete and continuous structures. Computational intelligence methods transform images into model-based knowledge representation. Certainty Dimension converts attractors in neural networks into fuzzy sets, preserving input-output relationships. Symbols naturally emerge in such networks. Symbolic Space is a dual structure that combines closed distributed space split by the set of fuzzy regions, and discrete set of symbols equivalent to the cores of regions represented as points in the Certainty dimension. Model Space carries knowledge in form of links and relations between the symbols, and supports graph, diagrammatic and topological operations. Composition of spaces works similar to M. Minsky frames and agents, Gerard Edelman's maps of maps, etc., combining machine learning, classification and analogy together with induction, deduction and other methods of higher level model-based reasoning. Based on such principles, an Image Understanding system can convert images into knowledge models, effectively resolving uncertainty and ambiguity via feedback projections and does not require supercomputers.

  9. An integrated risk assessment model of township-scaled land subsidence based on an evidential reasoning algorithm and fuzzy set theory.

    Science.gov (United States)

    Chen, Yu; Shu, Longcang; Burbey, Thomas J

    2014-04-01

    Land subsidence risk assessment (LSRA) is a multi-attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor-level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster-Shafer (D-S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi-Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information--quantitative or qualitative, complete or incomplete, and precise or imprecise--to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.

  10. Identifying Kinds of Reasoning in Collective Argumentation

    Science.gov (United States)

    Conner, AnnaMarie; Singletary, Laura M.; Smith, Ryan C.; Wagner, Patty Anne; Francisco, Richard T.

    2014-01-01

    We combine Peirce's rule, case, and result with Toulmin's data, claim, and warrant to differentiate between deductive, inductive, abductive, and analogical reasoning within collective argumentation. In this theoretical article, we illustrate these kinds of reasoning in episodes of collective argumentation using examples from one…

  11. Enuresis in children: a case based approach.

    Science.gov (United States)

    Baird, Drew C; Seehusen, Dean A; Bode, David V

    2014-10-15

    Enuresis is defined as intermittent urinary incontinence during sleep in a child at least five years of age. Approximately 5% to 10% of all seven-year-olds have enuresis, and an estimated 5 to 7 million children in the United States have enuresis. The pathophysiology of primary nocturnal enuresis involves the inability to awaken from sleep in response to a full bladder, coupled with excessive nighttime urine production or a decreased functional capacity of the bladder. Initial evaluation should include a history, physical examination, and urinalysis. Several conditions, such as constipation, obstructive sleep apnea, diabetes mellitus, diabetes insipidus, chronic kidney disease, and psychiatric disorders, are associated with enuresis. If identified, these conditions should be evaluated and treated. Treatment of primary monosymptomatic enuresis (i.e., the only symptom is nocturnal bed-wetting in a child who has never been dry) begins with counseling the child and parents on effective behavioral modifications. First-line treatments for enuresis include bed alarm therapy and desmopressin. The choice of therapy is based on the child's age and nighttime voiding patterns, and the desires of the child and family. Referral to a pediatric urologist is indicated for children with primary enuresis refractory to standard and combination therapies, and for children with some secondary causes of enuresis, including urinary tract malformations, recurrent urinary tract infections, or neurologic disorders.

  12. Consequence Reasoning in Multilevel Flow Modelling

    DEFF Research Database (Denmark)

    Zhang, Xinxin; Lind, Morten; Ravn, Ole

    2013-01-01

    Consequence reasoning is a major element for operation support system to assess the plant situations. The purpose of this paper is to elaborate how Multilevel Flow Models can be used to reason about consequences of disturbances in complex engineering systems. MFM is a modelling methodology...... for representing process knowledge for complex systems. It represents the system by using means-end and part-whole decompositions, and describes not only the purposes and functions of the system but also the causal relations between them. Thus MFM is a tool for causal reasoning. The paper introduces MFM modelling...... syntax and gives detailed reasoning formulas for consequence reasoning. The reasoning formulas offers basis for developing rule-based system to perform consequence reasoning based on MFM, which can be used for alarm design, risk monitoring, and supervision and operation support system design....

  13. Rethinking moral reasoning theory.

    Science.gov (United States)

    Nokes, K M

    1989-01-01

    Many nursing studies on moral reasoning and ethics have used Kohlberg's theory of moral development. The body of knowledge that resulted from these studies indicated that nurses and nursing students had consistently lower than expected levels of moral reasoning. Educational offerings were developed to assist nurses to improve their moral reasoning. This article explores the cognitive-developmental theory of moral development as one way of determining the moral development of nurses. Since this theory of moral reasoning focuses on the rational thought of the individual and does not consider the impact of the environment, it is of limited applicability in nursing. A new theory of morality needs to be developed--a more holistic one that will include both universal principles and contextual tissues.

  14. Chronic lymphocytic leukemia: case-based session.

    Science.gov (United States)

    Rai, K R; Döhner, H; Keating, M J; Montserrat, E

    2001-01-01

    Drs. Hartmut Döhner, Michael J. Keating, Kanti R. Rai and Emili Montserrat form the panel to review chronic lymphocytic leukemia (CLL) while focusing on the clinical features of a particular patient. The pace of progress in CLL has accelerated in the past decade. The pathophysiological nature of this disease, as had been known in the past, was based largely on the intuitive and empiric notions of two leaders in hematology, William Dameshek and David Galton. Now the works of a new generation of leaders are providing us with the scientific explanations of why CLL is a heterogeneous disease, perhaps consisting of at least two separate entities. In one form of CLL, the leukemic lymphocytes have a surface immunoglobulin (Ig) variable region gene that has undergone somatic mutations, with tell-tale markers suggesting that these cells had previously traversed the germinal centers. Such patients have a distinctly superior prognosis than their counterparts whose leukemic lymphocytes IgV genes have no mutations (these are indeed immunologically naive cells), who have a worse prognosis. The introduction of fluorescence in situ hybridization (FISH) technique has provided us with new insights into the diverse chromosomal abnormalities that can occur in CLL, and which have significant impact on the clinical behavior and prognosis of patients with this disease. Major advances in therapeutics of CLL also have occurred during the past decade. Two monoclonal antibodies, Campath-1H (anti-CD52) and rituximab (anti-CD20), and one nucleoside analogue, fludarabine, have emerged as three agents of most promise in the front-line treatment of this disease. Studies currently in progress reflect our attempts to find the most effective manner of combining these agents to improve the overall survival statistics for CLL patients. As in many other hematological malignancies, high dose chemotherapy followed by autologous or HLA-compatible allogeneic stem cells rescue strategies are under study as

  15. Multiscale salient point-based retrieval of fracture cases

    Science.gov (United States)

    Zhou, Xin; Stern, Richard; Depeursinge, Adrien; Müller, Henning

    2011-03-01

    Fractures are common injuries, some complicated fractures may require a surgical intervention. When such an operation is planned it can be beneficial to have access to similar past cases including follow ups to compare, which method might be the most adapted one in a particular situation. At the orthopaedic service of the University hospitals of Geneva a database of past cases including pre- and post-operative images and case descriptions has been created over the past years with the goal to support clinical decision making. Images play an important role in the decision making process and the judgment of a fracture, but visual image content is currently not directly accessible for search. At the moment, search is mainly via a classification system of the fractures or in the patient record itself only by patient ID. In this paper we propose a solution that combines visual information from several images in a case to calculate similarity between cases and allow thus an access to visually similar cases. Such a system can complement the text- or classification-based search that has been used so far. In a preliminary study, we used pixel-grid-based salient-point features to build a first prototype of case-based visual retrieval of fracture cases. Cases belonging to different fracture classes were beforehand often confused due to the similar bone structures in the various images. In this article, a multi-scale approach is used in order to perform similarity measures at both large and small scales. When compared to the first prototype, the introduction of scale and spatial information allowed improving the performance of the system. Cases containing similar bone structures but with dissimilar fractures are generally ranked lower whereas more relevant cases are returned. The system can thus be expected to perform sufficiently well for use in clinical practice and particularly for teaching.

  16. 基于本体映射与规则推理的智能电网信息集成技术%Smart grid information integration technology based on ontology mapping and rule reasoning

    Institute of Scientific and Technical Information of China (English)

    黄嵩; 张沛超; 李灿

    2012-01-01

    作为智能电网标准体系中的重要构成部分,IEC 61850与IEC 61970标准之间存在着不兼容、不和谐等问题,这阻碍了智能电网源端维护技术的实现.提出了基于本体映射与规则推理的智能电网信息集成技术.基于Protege分别构建了SCL与CIM的本体模型,并通过OWL语言实现了两个模型的形式化描述.然后利用SWRL语言表达语义模型之间的映射规则,解决了OWL语言推理能力不足的缺陷.将本体模型与SWRL规则转换为专家系统知识库,并利用CLIPS实现本体推理.算例中完成了从SCL到CIM/RDF的变换,所生成的文件符合IEC 61970标准,证明了方案的可行性.%IEC 61850 and IEC 61970 are important parts of the smart grid standard system, but there exists incompatible and disharmonious problems between them, which hinder the realization of the source-end maintenance technology. Based on ontology mapping and rule reasoning, this paper proposes a novel model mapping techniques. First, this paper builds the ontology models of SCL and CIM based on Protege, and consequently realizes the formal description of the models by OWL. Subsequently, this paper expresses the mapping rules between the two semantic models by SWRL, which makes up for the deficiency of the reasoning ability of OWL. Finally, by converting the ontologies and the SWRL rules to the Expert System knowledge base, this paper exploits CLIPS to realize the ontology reasoning. In the study case, this paper completes the conversion from an SCL file to a CIM/RDF one. The generated CIM/RDF file measures up to the IEC 61970 standard, which demonstrates the effectiveness of the proposed scheme.

  17. Theory of reasoned action and theory of planned behavior-based dietary interventions in adolescents and young adults: a systematic review

    Directory of Open Access Journals (Sweden)

    Hackman CL

    2014-06-01

    Full Text Available Christine L Hackman, Adam P KnowldenDepartment of Health Science, The University of Alabama, Tuscaloosa, AL, USABackground: Childhood obesity has reached epidemic proportions in many nations around the world. The theory of planned behavior (TPB and the theory of reasoned action (TRA have been used to successfully plan and evaluate numerous interventions for many different behaviors. The aim of this study was to systematically review and synthesize TPB and TRA-based dietary behavior interventions targeting adolescents and young adults.Methods: The following databases were systematically searched to find articles for this review: Academic Search Premier; Cumulative Index to Nursing and Allied Health (CINAHL; Education Resources Information Center (ERIC; Health Source: Nursing/Academic Edition; Cochrane Central Register of Controlled Trials (CENTRAL; and MEDLINE. Inclusion criteria for articles were: 1 primary or secondary interventions, 2 with any quantitative design, 3 published in the English language, 4 between January 2003 and March 2014, 5 that targeted adolescents or young adults, 6 which included dietary change behavior as the outcome, and 7 utilized TPB or TRA.Results: Of the eleven intervention studies evaluated, nine resulted in dietary behavior change that was attributed to the treatment. Additionally, all but one study found there to be a change in at least one construct of TRA or TPB, while one study did not measure constructs. All of the studies utilized some type of quantitative design, with two employing quasi-experimental, and eight employing randomized control trial design. Among the studies, four utilized technology including emails, social media posts, information on school websites, web-based activities, audio messages in classrooms, interactive DVDs, and health-related websites. Two studies incorporated goal setting and four employed persuasive communication.Conclusion: Interventions directed toward changing dietary behaviors

  18. A competency-based approach to nurses' continuing education for clinical reasoning and leadership through reflective practice in a care situation.

    Science.gov (United States)

    Goudreau, Johanne; Pepin, Jacinthe; Larue, Caroline; Dubois, Sylvie; Descôteaux, Renée; Lavoie, Patrick; Dumont, Katia

    2015-11-01

    Newly graduated nurses need to demonstrate high levels of competencies when they enter the workplace. A competency-based approach to their education is recommended to ensure patients' needs are met. A continuing education intervention consistent with the competency-based approach to education was designed and implemented in eight care units in two teaching hospitals. It consists of a series of 30-min reflective practice groups on clinical events that newly graduated nurses encountered in their practice. It was evaluated using a descriptive longitudinal evaluative research design, combining individual and group interviews with stakeholders, the analysis of facilitators' journal entries, and a research assistant's field notes. The results suggest that issues associated with the implementation of the continuing education intervention revolved around leadership for managers, flexibility for nursing staff, and role shifting for the facilitators. Newly graduated nurses who participated in the study noted that the reflective practice sessions contributed to the development of both clinical reasoning and leadership. Nursing managers stated the advantages of the intervention on nurses' professional development and for the quality and safety of care. Following the end of the study, participants from two units managed to pursue the activity during their work time.

  19. Studies in using a universal exchange and inference language for evidence based medicine. Semi-automated learning and reasoning for PICO methodology, systematic review, and environmental epidemiology.

    Science.gov (United States)

    Robson, Barry

    2016-12-01

    The Q-UEL language of XML-like tags and the associated software applications are providing a valuable toolkit for Evidence Based Medicine (EBM). In this paper the already existing applications, data bases, and tags are brought together with new ones. The particular Q-UEL embodiment used here is the BioIngine. The main challenge is one of bringing together the methods of symbolic reasoning and calculative probabilistic inference that underlie EBM and medical decision making. Some space is taken to review this background. The unification is greatly facilitated by Q-UEL's roots in the notation and algebra of Dirac, and by extending Q-UEL into the Wolfram programming environment. Further, the overall problem of integration is also a relatively simple one because of the nature of Q-UEL as a language for interoperability in healthcare and biomedicine, while the notion of workflow is facilitated because of the EBM best practice known as PICO. What remains difficult is achieving a high degree of overall automation because of a well-known difficulty in capturing human expertise in computers: the Feigenbaum bottleneck.

  20. Synthesis Reasoning and Its Application in Chinese Calligraphy Generation

    Institute of Scientific and Technical Information of China (English)

    XUSong-Hua; PANYun-He; ZHUANGYue-Ting; FRANCISC.M.Lau

    2005-01-01

    In this paper, we address the demanding task of developing intelligent systems equipped with machine creativity that can perform design tasks automatically. The main challenge is how to model human beings' creativity mathematically and mimic such creativity computationally. We propose a “synthesis reasoning model” as the underlying mechanism to simulate human beings’ creative thinking when they are handling design tasks. We present the theory of the synthesis reasoning model, and the detailed procedure of designing an intelligent system based on the model.We offer a case study of an intelligent Chinese calligraphy generation system which we have developed.Based on implementation experiences of the calligraphy generation system as well as a few other systems for solving real-world problems, we suggest a generic methodology for constructing intelligent systems using the synthesis reasoning model.

  1. Truth-value transmittal fuzzy reasoning interpolator

    Institute of Scientific and Technical Information of China (English)

    YAN Jianping; LEUNG Yee

    2005-01-01

    In this paper, we firstly associate fuzzy reasoning algorithm with the interpolation algorithm and discuss the limitation of defuzzification methods used commonly in the fuzzy reasoning algorithm. Secondly, we give a new fuzzy reasoning algorithm in case of single input, called the truth-value transmittal method, and discuss its properties. Finally, we analyze the rationality to adopy the truth-value transmittal method as the defuzzification method of full implication triple I method, and show that although CRI and triple I fuzzy reasoning method are different from fuzzy output set, they are uniform finally under the truth-value transmittal defuzzification method.

  2. Logistics case study based research: Towards higher quality

    DEFF Research Database (Denmark)

    Pedrosa, Alex; Näslund, Dag; Jasmand, Claudia

    2012-01-01

    Purpose – This paper assesses the quality of the case study based research approach as documented in articles published during the past 13 years, based on a synthesis of indicators for the quality criteria truth-value, transferability, and traceability. Design/methodology/approach – Content...

  3. The Comparison of Inductive Reasoning under Risk Conditions between Chinese and Japanese Based on Computational Models: Toward the Application to CAE for Foreign Language

    Science.gov (United States)

    Zhang, Yujie; Terai, Asuka; Nakagawa, Masanori

    2013-01-01

    Inductive reasoning under risk conditions is an important thinking process not only for sciences but also in our daily life. From this viewpoint, it is very useful for language learning to construct computational models of inductive reasoning which realize the CAE for foreign languages. This study proposes the comparison of inductive reasoning…

  4. 基于因果依赖图的HAZOP推理方法研究%HAZOP Reasoning Analysis Based on CDG

    Institute of Scientific and Technical Information of China (English)

    卢琳琳; 张来斌; 梁伟; 胡瑾秋; 蔡战胜

    2012-01-01

    HAZOP analysis has been widely used in chemical and petroleum industry since its inception. A HAZOP reasoning method based on CDG was proposed to replace the 'brain storm' of traditional HAZOP analysis. Firstly a multilevel flow model was built, by using simple function model symbols to represent complex devices applied for production industry. Then the alarm analysis in MFM was used to replace the ' brain storm' , which could infer cause and effect of deviation. Manual analysis was the key point of traditional HAZOP study. However, the CDG-HAZOP analysis greatly simplified it by transferring focus on model establishment. The HAZOP reasoning based on CDG was utilized to infer causes and effects of deviations in the reaction-regeneration system of the catalyst cracker.%HAZOP分析方法自提出至今在石油化工领域一直被广泛应用,为代替传统HAZOP人工头脑风暴分析的过程,提出基于因果依赖图(CDG)的HAZOP推理方法,即CDG-HAZOP.首先建立系统的多级流模型,将系统生产过程抽象为流过程,用简单的功能图形符号来表示复杂的装置,然后利用多级流模型中的告警分析算法代替人工头脑风暴分析,推理偏差的可能原因和结果.CDG-HAZOP推理机制将传统HAZOP分析的重点由人工分析大量资料转移到多级流模型(MFM)的建立和校验上,能节约人工成本.将CDG-HAZOP推理方法用于催化裂化装置的反应-再生系统,对该系统可能发生的偏差进行原因和后果推理.

  5. Emotion Reasoning Algorithm Based on Emotional Context of Speech%基于情感上下文的语音情感推理算法

    Institute of Scientific and Technical Information of China (English)

    毛启容; 白李娟; 王丽; 詹永照

    2014-01-01

    Since the change of emotion state is continuous in daily conversations, an emotion reasoning algorithm based on emotional context for speech emotion recognition ( SER ) is put forward. In this algorithm, contextual speech emotion features and widely-used acoustic speech emotion features are used to recognize emotion state in continuous speech utterances respectively. Then, the emotional interaction matrix and the confidence coefficient are used to fuse the recognition results of these two kinds of features. Finally, the emotion reasoning rule based on the emotional context is proposed to adjust the fusion results according to the emotional context of the emotional utterance to be analyzed. The fusion results after adjusting are used as the emotion state of the emotional utterance to be analyzed. The experimental results on the recorded emotional speech corpus with respect to 6 basic emotion states show that the proposed algorithm can improve the emotion recognition accuracies of the continuous speech, and compared with the method by widely-used acoustic speech emotional features, the average recognition accuracy of the proposed algorithm rises by 12 . 17%.%针对前后相邻情感语句的情感变化存在相互关联的特性,提出基于情感上下文的情感推理算法.该算法首先利用传统语音情感特征和上下文语音情感特征分别识别待分析情感语句的情感状态,然后借助情感交互矩阵及两类情感特征识别结果的置信度对待测试语句的情感状态进行融合推理.在此基础上,建立语音情感上下文推理规则,利用该规则根据相邻语句的情感状态对待分析情感语句情感状态进行调整,最终得出待分析情感语句所属的情感类别.在自行录制的包含6种基本情感数据库上的实验结果表明,与仅采用声学特征的方法相比,文中提出方法平均识别率提高12.17%.

  6. Internet-Based Delphi Research: Case Based Discussion

    Science.gov (United States)

    Cole, Zachary Douglas; Donohoe, Holly M.; Stellefson, Michael L.

    2013-03-01

    The interactive capacity of the Internet offers benefits that are intimately linked with contemporary research innovation in the natural resource and environmental studies domains. However, e-research methodologies, such as the e-Delphi technique, have yet to undergo critical review. This study advances methodological discourse on the e-Delphi technique by critically assessing an e-Delphi case study. The analysis suggests that the benefits of using e-Delphi are noteworthy but the authors acknowledge that researchers are likely to face challenges that could potentially compromise research validity and reliability. To ensure that these issues are sufficiently considered when planning and designing an e-Delphi, important facets of the technique are discussed and recommendations are offered to help the environmental researcher avoid potential pitfalls associated with coordinating e-Delphi research.

  7. 腹部术后早期肠梗阻再手术治疗21例分析%Reasons for Reoperation in 21 Cases of Early Postoperative Intestinal Obstruction

    Institute of Scientific and Technical Information of China (English)

    汪雷; 刘弋

    2011-01-01

    目的 探讨腹部术后早期肠梗阻的因为,总结再手术的经验.方法 回顾分析2005年1月2010年6月21例腹部术后早期肠梗阻再手术患者的临床资料.结果 21例术后早期肠梗阻出现时间为术后4~11 d,经再手术明确梗阻因为,术中证实粘连性肠梗阻12例,漏诊消化系统肿瘤3例,漏诊直肠癌1例,陈旧性粘连带致肠管卡压2例,遗漏多发肠石1例,合并急性阑尾炎、阑尾周围脓肿合并肠粘连梗阻2例,合并肠套叠1例.1例粘连性肠梗阻为术后17 d再次手术,由于无法找到明确的梗阻点,故行梗阻远近两端侧侧吻合术,术后25 d梗阻解除;其余20例经再手术后3~5d梗阻均解除,无手术死亡病例.结论 腹部术后早期肠梗阻多见为肠粘连.充分的术前准备,规范的手术操作,严密的术后观察,可减少粘连性肠梗阻的几率.选择适宜的手术方式,精确细致的手术操作是再手术成功的关键.%Objective To analyze the reasons for reoperation for early postoperative intestinal small obstruction, and summarize the experience of reoperation and treatment.Methods The reasons for reoperation in 21 patients with early postoperative intestinal small obstruction treated in our hospital from Jan 2005 to June 2010 were retrospectively analyzed.Results The 21 cases of early intestinal obstruction were occurred from 4 to 11 days after operation.By re-operating these 21 patients, the reasons for early postoperative intestinal small obstruction were clear.12 of 21 cases were adhesive intestinal obstruction,3 of 21 cases with digestive system cancer were missed diagnosed, 1 case with rectum cancer was missed diagnosed, 1 case with multiple intestinal stones was missed.And 2 cases with old intestinal adhesions and compression were diagnosed, 2 cases with acute appendicitis, the appendix abscess combined adhesive intestinal obstruction was diagnosed, and 1 case with intussusception was diagnosed.1 of 21 cases with adhesive

  8. CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation

    CERN Document Server

    Baydin, Atilim Gunes; Simoff, Simeon; Sierra, Carles

    2011-01-01

    Mediation is an important method in dispute resolution. We implement a case based reasoning approach to mediation integrating analogical and commonsense reasoning components that allow an artificial mediation agent to satisfy requirements expected from a human mediator, in particular: utilizing experience with cases in different domains; and structurally transforming the set of issues for a better solution. We utilize a case structure based on ontologies reflecting the perceptions of the parties in dispute. The analogical reasoning component, employing the Structure Mapping Theory from psychology, provides a flexibility to respond innovatively in unusual circumstances, in contrast with conventional approaches confined into specialized problem domains. We aim to build a mediation case base incorporating real world instances ranging from interpersonal or intergroup disputes to international conflicts.

  9. Causal reasoning in physics

    CERN Document Server

    Frisch, Mathias

    2014-01-01

    Much has been written on the role of causal notions and causal reasoning in the so-called 'special sciences' and in common sense. But does causal reasoning also play a role in physics? Mathias Frisch argues that, contrary to what influential philosophical arguments purport to show, the answer is yes. Time-asymmetric causal structures are as integral a part of the representational toolkit of physics as a theory's dynamical equations. Frisch develops his argument partly through a critique of anti-causal arguments and partly through a detailed examination of actual examples of causal notions in physics, including causal principles invoked in linear response theory and in representations of radiation phenomena. Offering a new perspective on the nature of scientific theories and causal reasoning, this book will be of interest to professional philosophers, graduate students, and anyone interested in the role of causal thinking in science.

  10. A Specification—Based Case Study from Test Class Framework

    Institute of Scientific and Technical Information of China (English)

    LIULing; MIAOHuai-kou

    2001-01-01

    Testing is a standard method for verification of software performance.Producing efficinet and appropriate test case is an important aspect in testing.Specification-based testing presents a method to derive test data from software specification.Because of the precision and concision of specification.the test data derived from specification can test the software efficiently and entirely.This paper demonstrates a test class framework(TCF) on a file reading case study,specifiec using Z notation,This class framework defines test case sets,providing structure to the testing process.Flexbility is preserved so that many testing strategies can be used.

  11. 语义Web环境中基于本体推理的协同标注%Collaborative Annotation Based on Ontology Reasoning in Semantic Web Environment

    Institute of Scientific and Technical Information of China (English)

    祝锡永; 周益辉; 李晟

    2012-01-01

    Based on Web Collaborative Annotation Systems available, The paper first analyzes the common features of the tags in resource documents and context awareness to extend the concept group of tags and to map with their ontologies, then uses ontology reasoning to enrich the semantic of tags, to mine for implied semantic information, and to describe the internal relationships between documents, finally distinguishes the Pseudo-relevance among different documents in order to improve the accuracy of knowledge retrieval and knowledge recommendation as well as the flow of knowledge among subjects.%在已有的Web协同标注系统的基础上,通过对资源文档的标签进行共性分析以及上下文情境感知,以此来扩展标签的概念组,并将其与相关本体进行映射;利用本体推理技术来丰富标签的语义性,挖掘出文档隐含的语义信息,发现文档间所存在的内部关联,同时鉴别不同文档之间是否存在着伪关联,以此提高知识检索与知识推荐的准确性以及主体间的知识共享水平.

  12. The Performance Evaluation of Green Supply Chain Based on Evidential Reasoning%基于证据理论的绿色供应链绩效评价

    Institute of Scientific and Technical Information of China (English)

    宋巧娜

    2011-01-01

    从业务流程、经济效益、绿色环保和客户服务4个方面分析了评价绿色供应链绩效应考虑的主要因素.建立了绿色供应链绩效评价指标体系,并进一步给出基于证据理论的绿色供应链绩效评价的模型和算法.最后通过实例分析,说明了该方法的有效性和实用性.%The main factors what should be considered when evaluating green supply chain are analyzed in term of business process, economic benefit, environmental protection and customer service in this paper. The index system of performance evaluation for green supply chain is established, further, an arithmetic and model of the performance evaluation in green supply chain assessment based on evidential reasoning also have been developed. Finally, an example shows that the method is effective and practical.

  13. 基于模型预测和溯因推理网络的电网故障诊断方法%Method of Power Grid Fault Diagnosis Based on Model Prediction and Abductive Reasoning Network

    Institute of Scientific and Technical Information of China (English)

    刘晓琴; 王大志; 张翠玲; 宁一

    2016-01-01

    Considering the power grid fault,the diagnostic information redundancy is low based only on protective relays and circuit breakers(switch)for diagnosis,and the accuracy of diagnosis will be affected under complex fault cases.The electric data information was introduced to propose the model prediction and data cleaning method,as well as to establish the power network fault diagnosis system.By using the model to predict the electric quantity information accurately, the cleaning rules and the logical inference rules were established,and the data cleaning and verification of the switch were carried out respectively.On this basis,the abductive reasoning network (ARN )was used to diagnose the fault information,and the candidate faults were obtained.The simulation results verified the validity and accuracy of this method.%考虑电网出现故障时,仅依靠开关量状态信息进行诊断,诊断信息冗余度低,复杂故障情况下会影响诊断结果的准确性。引入电气量信息,提出了模型预测和数据清洗方法,建立电网故障诊断系统。利用模型预测得到准确的电气量信息,建立清洗规则和逻辑推理规则,分别对开关量进行数据清洗和验证故障信息。在此基础上,利用溯因推理网络(abductive reasoning network,ARN)对故障信息进行诊断,得出候选故障。仿真结果验证了该方法的有效性和准确性。

  14. Reasoning on Schemata of Formulae

    CERN Document Server

    Echenim, Mnacho

    2012-01-01

    A logic is presented for reasoning on iterated sequences of formulae over some given base language. The considered sequences, or "schemata", are defined inductively, on some algebraic structure (for instance the natural numbers, the lists, the trees etc.). A proof procedure is proposed to relate the satisfiability problem for schemata to that of finite disjunctions of base formulae. It is shown that this procedure is sound, complete and terminating, hence the basic computational properties of the base language can be carried over to schemata.

  15. Research and development of process innovation design oriented web-based process case base system

    Directory of Open Access Journals (Sweden)

    Guo Xin

    2015-01-01

    Full Text Available Process innovation is very significant for an enterprise to lower cost, improve product quality and win competitive advantage. In order to inspire designers to realize innovation design, this paper has proposed a concept of process innovation design regarding Web process case base system model. To be specific, it constructs system mainline through the realization of technique and application flow, determines system architecture by combining process case base and cognition method and establishes links among principles, innovation approaches and process cases on this basis. The process case prototype system is established under the model of browser/server, and 5 kinds of search models, i.e. processing methods, processing focus, design depth, innovation approaches and user-defined model are integrated. This paper has demonstrated case base backstage realization and management methods, showcased system interface and demonstrated its effectiveness in process design based on actual cases.

  16. Environmental impact assessment using a utility-based recursive evidential reasoning approach for structural flood mitigation measures in Metro Manila, Philippines.

    Science.gov (United States)

    Gilbuena, Romeo; Kawamura, Akira; Medina, Reynaldo; Nakagawa, Naoko; Amaguchi, Hideo

    2013-12-15

    In recent years, the practice of environmental impact assessment (EIA) has created significant awareness on the role of environmentally sound projects in sustainable development. In view of the recent studies on the effects of climate change, the Philippine government has given high priority to the construction of flood control structures to alleviate the destructive effects of unmitigated floods, especially in highly urbanized areas like Metro Manila. EIA thus, should be carefully and effectively carried out to maximize or optimize the potential benefits that can be derived from structural flood mitigation measures (SFMMs). A utility-based environmental assessment approach may significantly aid flood managers and decision-makers in planning for effective and environmentally sound SFMM projects. This study proposes a utility-based assessment approach using the rapid impact assessment matrix (RIAM) technique, coupled with the evidential reasoning approach, to rationally and systematically evaluate the ecological and socio-economic impacts of 4 planned SFMM projects (i.e. 2 river channel improvements and 2 new open channels) in Metro Manila. Results show that the overall environmental effects of each of the planned SFMM projects are positive, which indicate that the utility of the positive impacts would generally outweigh the negative impacts. The results also imply that the planned river channel improvements will yield higher environmental benefits over the planned open channels. This study was able to present a clear and rational approach in the examination of overall environmental effects of SFMMs, which provides valuable insights that can be used by decision-makers and policy makers to improve the EIA practice and evaluation of projects in the Philippines.

  17. Speed of Reasoning and Its Relation to Reasoning Ability

    Science.gov (United States)

    Goldhammer, Frank; Klein Entink, Rinke H.

    2011-01-01

    The study investigates empirical properties of reasoning speed which is conceived as the fluency of solving reasoning problems. Responses and response times in reasoning tasks are modeled jointly to clarify the covariance structure of reasoning speed and reasoning ability. To determine underlying abilities, the predictive validities of two…

  18. Speed of reasoning and its relation to reasoning ability

    NARCIS (Netherlands)

    Goldhammer, F.; Klein Entink, R.H.

    2011-01-01

    The study investigates empirical properties of reasoning speed which is conceived as the fluency of solving reasoning problems. Responses and response times in reasoning tasks are modeled jointly to clarify the covariance structure of reasoning speed and reasoning ability. To determine underlying ab

  19. The ethical reasoning variations of personal characteristics

    Directory of Open Access Journals (Sweden)

    Khalizani Khalid

    2012-06-01

    Full Text Available This study provides a comparison of the ethical reasoning components of business managers and executives based on personal characteristics of working experiences, gender and age group. Data were collected in Malaysia within the small and medium sized industry in the form of questionnaires which contain vignettes of questionable ethical reasoning issues. Factor analysis was used to identify the major ethical reasoning dimensions which were then used as the basic comparison. Our study reviews that SMEs managers’ and executives’ ethical reasoning influenced by their years of working experiences. The gap analysis between male and female managers and executives revealed that the significant difference only occurs for ethical awareness in business management and business practices but not for other dimensions. Besides, there are indications that generally, business people tend to have higher ethical reasoning evaluation when they reach thirty six years old. Based on our results, recommendations are made to improve the ethical reasoning evaluation of business managers and executives.

  20. Managing inadequate responses to frontline treatment of chronic myeloid leukemia: a case-based review.

    Science.gov (United States)

    Bixby, Dale L

    2013-05-01

    The tyrosine kinase inhibitors (TKIs) imatinib, nilotinib, and dasatinib are the standard of care for treating patients with newly diagnosed chronic-phase chronic myeloid leukemia (CML). Compared with interferon-based treatment, the previous standard of care, imatinib is associated with significantly higher cytogenetic response rates and prolonged overall survival. Nilotinib and dasatinib, both newer and more potent TKIs, significantly improve cytogenetic and molecular response rates compared with imatinib. Despite significant advances in CML treatment enabled by the TKIs, a fraction of patients who receive frontline treatment with a TKI demonstrate inadequate response. The reasons for this vary, but in many cases, inadequate response can be attributed to non-adherence to the treatment regimen, intolerance to the drug, intrinsic or acquired resistance to the drug, or a combination of reasons. More often than not, strategies to improve response necessitate a change in treatment plan, either a dose adjustment or a switch to an alternate drug, particularly in the case of drug intolerance or drug resistance. Improved physician-patient communication and patient education are effective strategies to address issues relating to adherence and intolerance. Because inadequate response to TKI treatment correlates with poor long-term outcomes, it is imperative that patients who experience intolerance or who fail to achieve appropriate responses are carefully evaluated so that appropriate treatment modifications can be made to maximize the likelihood of positive long-term outcome.