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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. 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.

  5. 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.

  6. Interactive Knowledge Acquisition in Case Based Reasoning

    OpenAIRE

    Cordier, Amélie; Fuchs, Béatrice; Lieber, Jean; Mille, Alain

    2007-01-01

    International audience In Case Based Reasoning (CBR), knowledge acquisition plays an important role as it allows to progressively improve the system's competencies. One of the approaches of knowledge acquisition consists in performing it while the system is used to solve a problem. An advantage of this strategy is that it is not to constraining for the expert: the system exploits its interactions to acquire pieces of knowledge it needs to solve the current problem and takes the opportunity...

  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. Using case-based reasoning for generating functional test procedures

    Directory of Open Access Journals (Sweden)

    Martha Dunia Delgado Dapena

    2010-10-01

    Full Text Available 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. 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.

  11. Using computer aided case based reasoning to support clinical reasoning in community occupational therapy.

    Science.gov (United States)

    Taylor, Bruce; Robertson, David; Wiratunga, Nirmalie; Craw, Susan; Mitchell, Dawn; Stewart, Elaine

    2007-08-01

    Community occupational therapists have long been involved in the provision of environmental control systems. Diverse electronic technologies with the potential to improve the health and quality of life of selected clients have developed rapidly in recent years. Occupational therapists employ clinical reasoning in order to determine the most appropriate technology to meet the needs of individual clients. This paper describes a number of the drivers that may increase the adoption of information and communication technologies in the occupational therapy profession. It outlines case based reasoning as understood in the domains of expert systems and knowledge management and presents the preliminary results of an ongoing investigation into the potential of a prototype computer aided case based reasoning tool to support the clinical reasoning of community occupational therapists in the process of assisting clients to choose home electronic assistive or smart house technology. PMID:17576021

  12. 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.

  13. 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.

  14. 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...

  15. A Survey on Case-based Reasoning in Medicine

    Directory of Open Access Journals (Sweden)

    Nabanita Choudhury

    2016-08-01

    Full Text Available Case-based reasoning (CBR based on the memory-centered cognitive model is a strategy that focuses on how people learn a new skill or how they generate hypothesis on new situations based on their past experiences. Among various Artificial Intelligence tracks, CBR, due to its intrinsic similarity with the human reasoning process has been very promising in the utilization of intelligent systems in various domains, in particular in the domain of medicine. In this paper, we extensively survey the literature on CBR systems that are used in the medical domain over the past few decades. We also discuss the difficulties of implementing CBR in medicine and outline opportunities for future work.

  16. Planning by Case-Based Reasoning Based on Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    Atmani Baghdad

    2013-05-01

    Full Text Available The treatment of complex systems often requires the manipulation of vague, imprecise and uncertain information. Indeed, the human being is c ompetent in handling of such systems in a natural way. Instead of thinking in mathematical te rms, humans describes the behavior of the system by language proposals. In order to represent this type of information, Zadeh proposed to model the mechanism of human thought by approximate reasoning based on linguistic variables. He introduced the theory of fuzzy sets i n 1965, which provides an interface between language and digital worlds. In this paper, we prop ose a Boolean modeling of the fuzzy reasoning that we baptized Fuzzy-BML and uses the c haracteristics of induction graph classification. Fuzzy-BML is the process by which t he retrieval phase of a CBR is modelled not in the conventional form of mathematical equations, but in the form of a database with membership functions of fuzzy rules.

  17. 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

  18. 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.

  19. 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

  20. A case-based reasoning view of thrombophilia risk.

    Science.gov (United States)

    Vilhena, João; Vicente, Henrique; Martins, M Rosário; Grañeda, José M; Caldeira, Filomena; Gusmão, Rodrigo; Neves, João; Neves, José

    2016-08-01

    Thrombophilia stands for a genetic or an acquired tendency to hypercoagulable states that increase the risk of venous and arterial thromboses. Indeed, venous thromboembolism is often a chronic illness, mainly in deep venous thrombosis and pulmonary embolism, requiring lifelong prevention strategies. Therefore, it is crucial to identify the cause of the disease, the most appropriate treatment, the length of treatment or prevent a thrombotic recurrence. Thus, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a logic programming approach to knowledge representation and reasoning, complemented with a case-based approach to computing. The proposed model has been quite accurate in the assessment of thrombophilia predisposition risk, since the overall accuracy is higher than 90% and sensitivity ranging in the interval [86.5%, 88.1%]. The main strength of the proposed solution is the ability to deal explicitly with incomplete, unknown, or even self-contradictory information. PMID:27404848

  1. 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.

  2. INTELLIGENT EARLY-WARNING SUPPORT SYSTEM FOR ENTERPRISE FINANCIAL CRISIS BASED ON CASE-BASED REASONING

    Institute of Scientific and Technical Information of China (English)

    Zhanbo LEI; Yoshiyasu YAMADA; Jihong HUANG; Youmin XI

    2006-01-01

    Case-based reasoning (CBR) is an important reasoning technique of expert system. In this paper, the authors introduce CBR to intelligent early-warning support system, which could warn quantitatively for enterprise financial crisis and could warn qualitatively by expert's knowledge and experience. Furthermore, genetic algorithm is applied to case-based reasoning in CBR-IEWSS, which improves accuracy and efficiency of case retrieval. Last, the structure of CBR-IEWSS is given.

  3. Case-based reasoning support for engineering design

    Science.gov (United States)

    Lees, Brian; Hamza, Meer; Irgens, Chris

    2000-10-01

    The potential application of case-based reasoning (CBR) in design support is illustrated through examples drawn from research at the University of Paisley, demonstrating the suitability of CBR for different aspects of design, different problem areas, and different design goals. A quality advisory system has been developed for the early stages of mechanical engineering design, the aim of which is to provide quality advice in a variant design situation. In the domain of software engineering CBR has been applied to advise on which metrics are appropriate fora assessing the quality of the software currently under design. The system integrates CBR with concepts from quality function deployment (QFD) and incorporates a case library holding past software quality histories. CBR has been applied in support of conceptual design: to capture detailed design histories by monitoring designer actions, and thereby support design reuse through the evaluation of designs, through the provision of query, browsing and replay facilities. The resulting system is aimed to support the design of safety critical systems, by assisting in the construction of safety arguments, and cooperative design.

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

    OpenAIRE

    Sara Esfandiari; Behrooz Masoumi; Mohammadreza Meybodi; Abdolkarim Niazi

    2012-01-01

    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 algor...

  5. 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.

  6. 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

  7. Case-based reasoning in postoperative pain treatment

    OpenAIRE

    Kianifar, Arash

    2011-01-01

    Even today, with modern medicine and technology, post-operative pain still exists as anmajor issue in modern treatment. A lot of research efforts have been made, in order toimprove pain outcome for patients that has undergone surgery[18][15].Even though physician's and doctors are well educated, the success rate is aboutapproximately 70 %, still there are patients that experience severe pain, after they haveundergone surgery. There could be several reasons to this, for example, lack of method...

  8. Playing with Cases: Rendering Expressive Music with Case-Based Reasoning

    OpenAIRE

    López de Mántaras, Ramon; Spanish National Research Council (CSIC)

    2012-01-01

    This paper surveys significant research on the problem of rendering expressive music by means of AI techniques with an emphasis on Case-Based Reasoning. Following a brief overview discussing why we prefer listening to expressive music instead of lifeless synthesized music, we examine a representative selection of well-known approaches to expressive computer music performance with an emphasis on AI-related approaches. In the main part of the paper we focus on the existing CBR approaches to the...

  9. 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.

  10. 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.

  11. 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.

  12. 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...

  13. 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…

  14. 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.

  15. 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.

  16. Multi Agent System-Based on Case Based Reasoning for Cloud Computing System

    OpenAIRE

    Talib, Amir Mohamed; Elshaiekh, Nour Eldin Mohamed

    2014-01-01

    Cloud Computing is a new technology which use the Internet and central remote servers in order to maintain data and applications. The aim of this paper is to describe about Case Based Reasoning (CBR) which is based on Multi Agent System (MAS) and the implementation in Cloud Computing Environment to assist the Cloud Service Provider (CSP) to deliver a number of services to the cloud users according to their needs. The Introduction Section gives an introduction about Cloud Computing, MAS and CB...

  17. Semantic search using modular ontology learning and case-based reasoning

    OpenAIRE

    Ben Mustapha, Nesrine; Baazaoui, Hajer; Aufaure, Marie-Aude; Ben Ghezala, Henda

    2010-01-01

    International audience In this paper, we present a semantic search approach based on Case-based reasoning and modular Ontology learning. A case is defined by a set of similar queries associated with its relevant results. The case base is used for ontology learning and for contextualizing the search process. Modular ontologies are designed to be used for case representation and indexing. Our work aims at improving ontology-based information retrieval by the integration of the traditional in...

  18. 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…

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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. PMID:25820218

  4. 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.

  5. 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…

  6. 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.

  7. 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.

  8. 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.

  9. Case-Based Reasoning Systems: From Automation to Decision-Aiding and Stimulation

    NARCIS (Netherlands)

    S. Dutta (Shantanu); B. Wierenga (Berend); A. Dalebout

    1997-01-01

    textabstractOver 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. Conventional CBR systems have been largely

  10. Educase – intelligent system for pedagogical advising using case-based reasoning

    OpenAIRE

    Moura, Elionai; Cunha, José António; Analide, Cesar

    2015-01-01

    This paper introduces a proposal scheme for an Intelligent System applied to Pedagogical Advising using Case-Based Reasoning, to find consolidated solutions before used for the new problems, making easier the task of advising students to the pedagogical staff. We do intend, through this work, introduce the motivation behind the choices for this system structure, justifying the development of an incremental and smart web system who learns bests solutions for new cases when it’s used, s...

  11. 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.

  12. 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...

  13. Lessons Learned from Designing a Comprehensive Case- Based Reasoning (CBR) Tool for Support of Complex Thinking

    OpenAIRE

    Richmond, Doug

    2007-01-01

    This research study focused on learning lessons from the experience of designing a comprehensive case-based reasoning (CBR) tool for support of complex thinking skills. Theorists have historically identified, analyzed, and classified different thinking processes and skills. Thinking skills have been increasingly emphasized in national standards, state testing, curricula, teaching and learning resources, and research agendas. Complex thinking is the core of higher-order thinking. Complex think...

  14. The Reviewer's Assistant: Recommending Topics to Writers by Association Rule Mining and Case-base Reasoning

    OpenAIRE

    Dong, Ruihai; Schaal, Markus; O'Mahony, Michael P.; Smyth, Barry

    2012-01-01

    Today, online reviews for products and services have become an important class of user-generated content and they play a valuable role for countless online businesses by helping to convert casual browsers into informed and satisfied buyers. As users gravitate towards sites that offer insightful and objective reviews, the ability to source helpful reviews from a community of users is increasingly important. In this extended abstract we describe the Reviewer’s Assistant, a case-based reasoning ...

  15. Case-based reasoning combined with statistics for diagnostics and prognosis

    International Nuclear Information System (INIS)

    Many approaches used for diagnostics today are based on a precise model. This excludes diagnostics of many complex types of machinery that cannot be modelled and simulated easily or without great effort. Our aim is to show that by including human experience it is possible to diagnose complex machinery when there is no or limited models or simulations available. This also enables diagnostics in a dynamic application where conditions change and new cases are often added. In fact every new solved case increases the diagnostic power of the system. We present a number of successful projects where we have used feature extraction together with case-based reasoning to diagnose faults in industrial robots, welding, cutting machinery and we also present our latest project for diagnosing transmissions by combining Case-Based Reasoning (CBR) with statistics. We view the fault diagnosis process as three consecutive steps. In the first step, sensor fault signals from machines and/or input from human operators are collected. Then, the second step consists of extracting relevant fault features. In the final diagnosis/prognosis step, status and faults are identified and classified. We view prognosis as a special case of diagnosis where the prognosis module predicts a stream of future features.

  16. 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.

  17. 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.

  18. 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…

  19. 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.

  20. 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.

  1. 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.

  2. 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

  3. 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.

  4. Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets

    OpenAIRE

    Yan Liu; Ting-Hua Yi; Zhen-Jun Xu

    2013-01-01

    As a high-risk subindustry involved in construction projects, highway construction safety has experienced major developments in the past 20 years, mainly due to the lack of safe early warnings in Chinese construction projects. By combining the current state of early warning technology with the requirements of the State Administration of Work Safety and using case-based reasoning (CBR), this paper expounds on the concept and flow of highway construction safety early warnings based on CBR. The ...

  5. 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.

  6. 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.

  7. 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.

  8. The Efficacy of Digital Case Scenario versus Paper Case Scenario on Clinical Reasoning in Problem Based Learning: A Systematic Review and Meta-Analysis

    OpenAIRE

    Zarea Gavgani Vahideh; Hazrati Hakime; Ghojazadeh Mortaza

    2015-01-01

    Introduction: In medical and clinical education, creating critical thinking and promoting clinical reasoning abilities are the highest aims and results of education. The main aim of this study was to assess the efficacy of digital case scenarios versus print/paper case scenarios on clinical reasoning in problem-based learning (PBL). If a study used the multimedia scenario case interventions, video case scenarios and online-guided scenarios as digital case PBL, we would cons...

  9. Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems

    OpenAIRE

    Petrovic, Sanja; Qu, Rong

    2002-01-01

    This paper studies Knowledge Discovery (KD) using Tabu Search and Hill Climbing within Case-Based Reasoning (CBR) as a hyper-heuristic method for course timetabling problems. The aim of the hyper-heuristic is to choose the best heuristic(s) for given timetabling problems according to the knowledge stored in the case base. KD in CBR is a 2-stage iterative process on both case representation and the case base. Experimental results are analysed and related research issues for future work are dis...

  10. 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.

  11. 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.

  12. 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.

  13. Combining knowledge discovery from databases (KDD) and case-based reasoning (CBR) to support diagnosis of medical images

    Science.gov (United States)

    Stranieri, Andrew; Yearwood, John; Pham, Binh

    1999-07-01

    The development of data warehouses for the storage and analysis of very large corpora of medical image data represents a significant trend in health care and research. Amongst other benefits, the trend toward warehousing enables the use of techniques for automatically discovering knowledge from large and distributed databases. In this paper, we present an application design for knowledge discovery from databases (KDD) techniques that enhance the performance of the problem solving strategy known as case- based reasoning (CBR) for the diagnosis of radiological images. The problem of diagnosing the abnormality of the cervical spine is used to illustrate the method. The design of a case-based medical image diagnostic support system has three essential characteristics. The first is a case representation that comprises textual descriptions of the image, visual features that are known to be useful for indexing images, and additional visual features to be discovered by data mining many existing images. The second characteristic of the approach presented here involves the development of a case base that comprises an optimal number and distribution of cases. The third characteristic involves the automatic discovery, using KDD techniques, of adaptation knowledge to enhance the performance of the case based reasoner. Together, the three characteristics of our approach can overcome real time efficiency obstacles that otherwise mitigate against the use of CBR to the domain of medical image analysis.

  14. 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.

  15. 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)

  16. 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…

  17. Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets

    Directory of Open Access Journals (Sweden)

    Yan Liu

    2013-01-01

    Full Text Available As a high-risk subindustry involved in construction projects, highway construction safety has experienced major developments in the past 20 years, mainly due to the lack of safe early warnings in Chinese construction projects. By combining the current state of early warning technology with the requirements of the State Administration of Work Safety and using case-based reasoning (CBR, this paper expounds on the concept and flow of highway construction safety early warnings based on CBR. The present study provides solutions to three key issues, index selection, accident cause association analysis, and warning degree forecasting implementation, through the use of association rule mining, support vector machine classifiers, and variable fuzzy qualitative and quantitative change criterion modes, which fully cover the needs of safe early warning systems. Using a detailed description of the principles and advantages of each method and by proving the methods’ effectiveness and ability to act together in safe early warning applications, effective means and intelligent technology for a safe highway construction early warning system are established.

  18. Safety early warning research for highway construction based on case-based reasoning and variable fuzzy sets.

    Science.gov (United States)

    Liu, Yan; Yi, Ting-Hua; Xu, Zhen-Jun

    2013-01-01

    As a high-risk subindustry involved in construction projects, highway construction safety has experienced major developments in the past 20 years, mainly due to the lack of safe early warnings in Chinese construction projects. By combining the current state of early warning technology with the requirements of the State Administration of Work Safety and using case-based reasoning (CBR), this paper expounds on the concept and flow of highway construction safety early warnings based on CBR. The present study provides solutions to three key issues, index selection, accident cause association analysis, and warning degree forecasting implementation, through the use of association rule mining, support vector machine classifiers, and variable fuzzy qualitative and quantitative change criterion modes, which fully cover the needs of safe early warning systems. Using a detailed description of the principles and advantages of each method and by proving the methods' effectiveness and ability to act together in safe early warning applications, effective means and intelligent technology for a safe highway construction early warning system are established. PMID:24191134

  19. 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 ...

  20. 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

  1. Classification-based reasoning

    Science.gov (United States)

    Gomez, Fernando; Segami, Carlos

    1991-01-01

    A representation formalism for N-ary relations, quantification, and definition of concepts is described. Three types of conditions are associated with the concepts: (1) necessary and sufficient properties, (2) contingent properties, and (3) necessary properties. Also explained is how complex chains of inferences can be accomplished by representing existentially quantified sentences, and concepts denoted by restrictive relative clauses as classification hierarchies. The representation structures that make possible the inferences are explained first, followed by the reasoning algorithms that draw the inferences from the knowledge structures. All the ideas explained have been implemented and are part of the information retrieval component of a program called Snowy. An appendix contains a brief session with the program.

  2. 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.

  3. Context based support for Clinical Reasoning

    DEFF Research Database (Denmark)

    Vilstrup Pedersen, Klaus

    2004-01-01

    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....... 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...... is continually enhanced by adding results of analysis. Context sensitive analysis is done by retrieving similar patient cases and guidelines from the knowledge base in a case based fashion....

  4. 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

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

    Science.gov (United States)

    Ruiz, Magda; Sin, Gürkan; Berjaga, Xavier; Colprim, Jesús; Puig, Sebastià; Colomer, Joan

    2011-01-01

    The main idea of this paper is to develop a methodology for process monitoring, fault detection and predictive diagnosis of a WasteWater Treatment Plant (WWTP). To achieve this goal, a combination of Multiway Principal Component Analysis (MPCA) and Case-Based Reasoning (CBR) is proposed. First, MPCA is used to reduce the multi-dimensional nature of online process data, which summarises most of the variance of the process data in a few (new) variables. Next, the outputs of MPCA (t-scores, Q-statistic) are provided as inputs (descriptors) to the CBR method, which is employed to identify 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 is a promising tool for automatic diagnosis and real-time warning, which can be used for daily management of plant operation. PMID:22335109

  6. 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.

  7. 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.

  8. A Case Based Reasoning aluminium thermal analysis platform for the prediction of W319 Al cast component characteristics

    Directory of Open Access Journals (Sweden)

    R. Lashkari

    2009-09-01

    Full Text Available Purpose: This paper presents the research on the development of the Aluminum Thermal Analysis Technology Platform (AlTAP utilizing a Case Based Reasoning (CBR Caspian shell for interpretation of industrial cooling curves and predicting alloy and cast component characteristics.Design/methodology/approach: CBR being a branch of Artificial Intelligence (AI that solves problems based on understanding and adaptation of previous experiences is suitable for interpretation of the AlTAP results since this is a knowledge intensive activity which requires a fair amount of experience.Findings: The integrated AlTAP and CBR system was found to be useful for the prediction of melt thermal characteristics, cast component mechanical and structural properties.Practical implications: Industrial trials confirmed the technical capabilities of the AlTAP/CBR Platform for the on-line quality control and prediction of 319 melt characteristics and the aluminum engine block’s (Cosworth casting process engineering specifications.Originality/value: An automated AlTAP Platform integrated with a CBR system is a new Quality Control concept in the area of the aluminum automotive casting.

  9. 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…

  10. 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.

  11. 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.

  12. 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.

  13. The clustering-based case-based reasoning for imbalanced business failure prediction: a hybrid approach through integrating unsupervised process with supervised process

    Science.gov (United States)

    Li, Hui; Yu, Jun-Ling; Yu, Le-An; Sun, Jie

    2014-05-01

    Case-based reasoning (CBR) is one of the main forecasting methods in business forecasting, which performs well in prediction and holds the ability of giving explanations for the results. In business failure prediction (BFP), the number of failed enterprises is relatively small, compared with the number of non-failed ones. However, the loss is huge when an enterprise fails. Therefore, it is necessary to develop methods (trained on imbalanced samples) which forecast well for this small proportion of failed enterprises and performs accurately on total accuracy meanwhile. Commonly used methods constructed on the assumption of balanced samples do not perform well in predicting minority samples on imbalanced samples consisting of the minority/failed enterprises and the majority/non-failed ones. This article develops a new method called clustering-based CBR (CBCBR), which integrates clustering analysis, an unsupervised process, with CBR, a supervised process, to enhance the efficiency of retrieving information from both minority and majority in CBR. In CBCBR, various case classes are firstly generated through hierarchical clustering inside stored experienced cases, and class centres are calculated out by integrating cases information in the same clustered class. When predicting the label of a target case, its nearest clustered case class is firstly retrieved by ranking similarities between the target case and each clustered case class centre. Then, nearest neighbours of the target case in the determined clustered case class are retrieved. Finally, labels of the nearest experienced cases are used in prediction. In the empirical experiment with two imbalanced samples from China, the performance of CBCBR was compared with the classical CBR, a support vector machine, a logistic regression and a multi-variant discriminate analysis. The results show that compared with the other four methods, CBCBR performed significantly better in terms of sensitivity for identifying the

  14. 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…

  15. 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...

  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. 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.

  18. 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.

  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. PMID:26444809

  20. Interest-based preference reasoning

    NARCIS (Netherlands)

    Visser, W.M.; Hindriks, K.V.; Jonker, C.M.

    2011-01-01

    In the context of practical reasoning, such as decision making and negotiation, it is necessary to model preferences over possible outcomes. Such preferences usually depend on multiple criteria. We argue that the criteria by which outcomes are evaluated should be the satisfaction of a person’s under

  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. An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches

    International Nuclear Information System (INIS)

    Highlights: • This study estimates the dynamic operational rating of a new residential building. • The advanced case-based reasoning (A-CBR) and stochastic approaches were used. • The prediction accuracy of the A-CBR model was determined at 96.8% for electricity. • The prediction accuracy of the A-CBR model was determined at 86.6% for gas energy. • The letter rating of cluster No.6 was estimated to be “B” with 83.46% probability. - Abstract: To ensure the high energy performance of a new building, its operational rating should be accurately estimated in the early design phase. Toward this end, this study developed an estimation methodology for the dynamic operational rating (DOR) of a new residential building using the advanced case-based reasoning (A-CBR) and stochastic approaches. This study was conducted in three steps: (i) establishment of a case database; (ii) retrieval of similar cases using the A-CBR approach; and (iii) estimation of the dynamic operational rating using the stochastic approach. The residential buildings located in Pusan, South Korea, were selected to validate the applicability of the developed methodology. Also, this study used the mean absolute percentage error (MAPE) to evaluate the prediction accuracy of the developed methodology (which means the difference between the predicted and measured energy performance). As a result, it was determined that the MAPE of the A-CBR model (i.e., 96.8% for electricity and 86.6% for gas energy) is superior to those of the other models (i.e., the basic CBR, multiple regression analysis, and artificial neural network models). In addition, based on the stochastic approach, it was estimated that cluster No.6, as a case study, would have the letter rating of ‘B’ grade (i.e., 25 < DOR ⩽ 50) with 83.46% of probability; and the letter rating of ‘C’ grade (i.e., 50 < DOR ⩽ 75) with 16.54%. The developed methodology can be used to easily and accurately estimate the dynamic operational

  3. 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。

  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 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.

  10. 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.

  11. 基于范例推理的 NPD 数据支持向量机预测%Support vector machine prediction of NPD data based on case-based reasoning

    Institute of Scientific and Technical Information of China (English)

    蔡良才; 董豪昊; 王海服; 刘洲; 邵斌; 戴圣睿

    2014-01-01

    A support vector machine prediction method based on the surveillance of case-based reasoning was presented,aiming at solving the problems of small sample,small range and data distortion during the military aircraft noise-power-distance (NPD)data integration.In the method,support vector machine was adopted as a regression and prediction model,and similar case was searched via case-based reasoning to supervise the process of regression and prediction.In the process,a method of comparability searching,checkout and revising based on gradient was put forward successfully to combine the case-based reasoning and prediction model,which reduces the sensitivity and dependence of the model on the data sample.An example indicates that the mothed is economical and effective,and will greatly improve the precision of regression and prediction.%针对当前军用飞机 NPD(Noise-Power-Distance)数据集成过程中面临小样本、小范围及数据失真问题,给出基于范例推理监督的支持向量机预测方法。用支持向量机作为数据回归与预测模型,通过范例推理检索出与目标范例相似的 NPD 数据,用相似范例来指导 NPD 数据的回归与预测。提出基于坡度的相似性检索、检验及修正方法,成功将范例推理的监督作用与预测模型有机结合,降低预测模型对数据样本的敏感性及依赖性。实例表明,该方法经济可行,能提高回归及预测精度。

  12. 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。

  13. Early-warning Research of Entetprise Outsoursing Risk Based on Fuzzy Case-Based Reasoning%基于模糊案例推理的企业外包风险预警研究

    Institute of Scientific and Technical Information of China (English)

    傅金香

    2013-01-01

    A decision support method of Business Outsourcing Risk Alarming based on Case-based Reasoning technique is present in the paper.On the basis of research,we propose a new hybrid similarity calculation method.%文中以企业物流外包为例,提出了一种基于案例推理的外包风险预警的决策支持方法,在关键技术研究的基础上,采用了一种新的混合相似度计算方法,克服了大多数方法不能有效处理模糊数的缺陷。

  14. 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. PMID:21893742

  15. 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.

  16. 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.

  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. [Clinical reasoning supportive to a medical service provider as a tool for complaint management: a case study for pragmatic reasoning].

    Science.gov (United States)

    Wessels, B; Seger, W

    2014-12-01

    The process of "clinical reasoning" is exemplified as supportive to the complaint management of the Statutory Medical Health Advisory Board in Lower Saxony, Germany, within the operational division for long-term care insurance. A model case from real life illustrates in detail the hypothetical-deductive approach by Beusheusen and Klemme/Siegmann. Because of the potential area of conflicts between human concern in the case of a long-term care burden and legal requirements, the process was analysed in terms of a pragmatic reasoning. Human resources of the claimant and persons in charge at customer's service were demonstrated as well as political, statutory and institutional determining factors. Concluding self-perception validates the process in the context of evidence-based practice. PMID:25397910

  1. An Approach to Cost Estimation of Steel Products by Using Case-Based Reasoning%一种基于实例推理的钢铁产品成本估算方法

    Institute of Scientific and Technical Information of China (English)

    刘晓冰; 王雅君; 蒙秋男; 张哲

    2009-01-01

    Because of customization and complexity of production processes for steel products,it lacks effective method to estimate production cost of steel products. By analyzing the production processes,activities are identified. With the activities identified,method is developed to describe cases and case-base is designed. Then,algorithms for case retrieving,case modification,and learning are presented. Based on the case-base and the algorithms,a case-based reasoning (CBR) approach is proposed to estimate production cost of steel products. It is implemented in a steel company.%针对钢铁企业生产过程复杂和现有定制产品的成本估算方法存在的缺陷和不足,提出了基于实例推理技术的钢铁产品成本估算方法,分析了钢铁产品生产流程,据此认定了钢铁产品生产过程中的各项作业.详细阐述了实例库中实例的描述方法和实例库的组织结构,给出了实例匹配检索算法、实例调整和学习评价,并以在某钢铁企业的实际工程应用进行了验证说明.

  2. 基于案例推理的夹具设计案例表示与检索%Case Representation and Retrieval under a Case-based Reasoning System for Fixture Design

    Institute of Scientific and Technical Information of China (English)

    罗晨; 王欣; 苏春; 吴泽

    2015-01-01

    夹具具有夹持工件并精确定位的重要作用。由于夹具设计关联因素诸多,过程复杂,设计方案很大程度依赖于设计者经验,最近发展的基于案例推理的夹具设计方法可一定程度上缓解对个人经验的依赖性,但此类设计方法大多仅以工件的几何形状为案例表示和检索依据,影响推理系统的检索效率及准确度,其有效性和实用性也因此减弱。鉴于此,建立了一种夹具设计案例特征表示的新型检索机制,该模型不仅包含工件几何形状,还包含工件材料、加工工艺和其他功能要求等因素,采用统一建模语言(Unified modeling language, UML)面向对象的表示方式实现特征信息存储的结构化和模块化,采用几何形状和位置拓扑关系并行检索的算法,该算法主要通过搜索节点对应约束的最大相似连通子图以确定零件的几何特征相似度,并给出其他影响因素相关的相似度公式。具体实例说明该新型检索模型的有效性和实用性。%Fixtures play a key role in accurately locating and clamping workpiece. Fixture design is a complex process involving many factors and traditionally the designer’s experience plays a big role. Recently case-based reasoning(CBR) based fixture design method becomes popular and it can ease personal experience dependence. However existing methods mainly use simple manufacturing parts’ geometric feature in case representation and retrieval and this leads to inaccuracy and inefficiency in their real application. In view of that, a new comprehensive retrieval model for fixture design case representation is proposed and it incorporates geometry, material, processing and functional features. The new model uses object-oriented unified modeling language(UML) case representation to enable information to be processed in a structural and modular way. A parallel retrieval algorithm, combining geometrical shape and its

  3. 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.

  4. 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.

  5. 基于案例推理的统计地图表示方法智能选取中的应用%Applying Case-based Reasoning Techniques in Selection of Representation Method of Statistic Map

    Institute of Scientific and Technical Information of China (English)

    李洪省; 王英杰; 余卓渊; 韩嘉福; 罗斌

    2009-01-01

    Selection of map symbols is very important in visualization of spatial data. An intelligent thematic mapping framework based on research paradigm of case-based reasoning and thematic mapping process is proposed in this paper. The knowledge depended is the concrete problem solving records during designing of thematic maps which are stored in the CBR system. Intelligent selection of representation method for statistic maps is explored in different aspects from content design of case base, case representation, database schema, similarity measure and retrieval of cases. Based on "Chinese Atlas of Population" and myCBR tool, experiment is designed and shows the potential of CBR in the acquisition, representation and reasoning for thematic mapping.%地图符号的选择在空间信息可视化中至关重要.本文基于案例推理的研究范式和专题制图过程,提出了一种智能化专题制图的CBR框架,它依赖的知识主要是系统所存储的专题地图设计过程中解决问题的具体记录.本文从案例库内容设计、案例表达和数据库模式、案例相似性计算和案例检索等方面重点研究了CBR在统计地图表示方法智能选取中的应用,并以为蓝本,以myCBR为工具,展现了CBR在专题地图设计知识获取、表达和推理中的应用潜力.

  6. Reasons to enter Vietnamese market- Case:IKEA

    OpenAIRE

    Nguyen, Thi

    2013-01-01

    The purpose of this thesis is to analyze why IKEA, biggest Swedish furniture brand, should enter to Vietnam. Based on research and interviews, the study provides an overview of Vietnamese economy, reasons for the company to open its first branch in Vietnam and suggest how IKEA adapt their strategies to expand and become profitable in Vietnam. The idea of this literature started after the author's first visited IKEA store in Finland, in 2013. By realized the promising development of IKEA i...

  7. 基于SWRL的应急案例库的知识表示及推理方法研究%The Research on Knowledge Representation and Reasoning of the Emergency Cases Repository Based on SWRL

    Institute of Scientific and Technical Information of China (English)

    金保华; 林青; 付中举; 李红婵

    2012-01-01

    The quantities of emergency information make it hard to provide quick support for decision-making system. Nowadays it has become a heat issue in public security field. The knowledge representation and reasoning of emergency cases repository based on SWRL is lucubrated. Firstly, the concepts in emergency cases repository were defined and the 0WL( Web Ontology Language) was used as the basis of establishment of emergency cases repository in semantically representation. And then, SWRL (Semantic WebRule Language) was introduced to further established rules mechanics. At the same time, the disadvantage of reasoning capacity of OWL was greatly improved. Finally, further integration and reasoning are realized by SWRL reasoning rules and Jena inference engine. The validity of SWRL reasoning rules is verified in the experiment results.%针对当下在公共社会领域中突发应急事件的信息量庞大,难以为应急决策系统提供快速支持的热点问题,深入研究了基于SWRL的应急案例库的知识表示以及推理方法.首先定义了应急案例库中的相关概念,并采用语义上具有较强能力的OWL( Web Ontology Language)作为应急案例库Ontology构建的基础.然后引入SWRL( Semantic WebRule Language)来进一步构建应急案例库的规则机制并改善OWL在推理能力方面的不足.最后运用SWRL推理规则与Jena推理机对应急案例库中的规则进行了进一步的整合与推理现实.仿真结果验证了SWRL推理规则的有效性与正确性.

  8. 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.

  9. 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...

  10. 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”.

  11. 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.

  12. 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.

  13. 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.

  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. Model-based reasoning and large-knowledge bases

    International Nuclear Information System (INIS)

    In such engineering fields as nuclear power plant engineering, technical information expressed in the form of schematics is frequently used. A new paradigm for model-based reasoning (MBR) and an AI tool called PLEXSYS (plant expert system) using this paradigm has been developed. PLEXSYS and the underlying paradigm are specifically designed to handle schematic drawings, by expressing drawings as models and supporting various sophisticated searches on these models. Two application systems have been constructed with PLEXSYS: one generates PLEXSYS models from existing CAD data files, and the other provides functions for nuclear power plant design support. Since the models can be generated from existing data resources, the design support system automatically has full access to a large-scale model or knowledge base representing actual nuclear power plants. (author)

  16. 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…

  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. 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.

  19. 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...

  20. 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.

  1. 基于案例推理的突发环境事件应急管理案例库构建技术研究%Development of Establishing Technology of Abrupt Environment Accident Case Library for Emergency Management Based on Case-based Reasoning

    Institute of Scientific and Technical Information of China (English)

    张茉莉; 袁鹏; 宋永会; 张慧良; 姜诗慧

    2015-01-01

    In recent years, abrupt environmental pollution accidents occurred frequently in China, having resulted in huge hazards on socio-economic development.Through structured hierarchical storage and searching technology based on case reasoning, the emergency management application case library can be established, with which historical matching cases can be found by quick search, and then relatively optimal solution tools can be provided for the policy makers. The realization approaches of information database based on case-reasoning retrieval technology were explored.The contents of the case library were researched, the structure was designed and the system developed.Finally the case retrieval system of abrupt environmental pollution accidents based on Web technology was established, which included more than 500 cases.The system takes the nearest neighbor decoding to search similar fitting cases, possessing retrieving, correcting, studying and statistical analysis functions and so on.It can provide references for the emergency response to the newly happened abrupt environmental accidents.%近年来,我国突发环境污染事件事故频发,给经济社会发展造成巨大危害。通过基于案例推理的结构化层次存储和搜索技术,构建应用管理案例库,通过快速搜索查找匹配历史案例,可为决策者提供相对优化的解决方案工具。探讨了基于案例推理检索技术的信息数据库的实现途径,研究了案例库内容,进行了结构设计和系统开发,建立了基于Web技术的环境污染事故案例检索查询系统,收集整理500余件事故案例系统采用最近相邻法在案例库中检索相似案例,具有检索、修正和学习,以及统计分析等功能,可为新的突发事件应急响应提供参考。

  2. 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.

  3. Approximate syllogistic reasoning: a contribution to inference patterns and use cases

    OpenAIRE

    Pereira-Fariña, Martín

    2014-01-01

    In this thesis two models of syllogistic reasoning for dealing with arguments that involve fuzzy quantified statements and approximate chaining are proposed. The modeling of quantified statements is based on the Theory of Generalized Quantifiers, which allows us to manage different kind of quantifiers simultaneously, and the inference process is interpreted in terms of a mathematical optimization problem, which allows us to deal with more arguments that standard deductive ones. For the case o...

  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. 一个基于实例推理的软件过程知识复用方法%A Case-Based Reasoning Method for the Reuse of Software Process Knowledge

    Institute of Scientific and Technical Information of China (English)

    贾山刚; 李钢

    2012-01-01

    过程资产库的建立和基于过程资产的项目过程定义是一个组织的软件能力成熟度达到已定义级的关键标志,传统的过程资产库中存储的过程往往是通过文字描述和使用者判断其适用性,用于项目过程的建立。本文提出了一种基于实例推理(CBR)的过程知识复用方法,通过过程特征的刻画和实例相似度计算,实现过程实例的提取和复用。实践证明,该方法有助于提高过程知识复用的准确度和自动化程度,为软件过程改进中的过程建立提供有效手段。%Construction of the process assets library and definition of the project process based on the process assets are key activities for one organization to improve its software capabilities to the defined level.Traditionally the processes stored in the process assets library are described by nature languages and the suitability is judged by the users for the definition of the project processes.In this paper,a case-based reasoning method for the reuse of software process knowledge was proposed,where the retrieval of the process cases and the reuse are implemented by characterization of the process and the calculation of the similarity of the process cases.Practices show that the method is helpful for improving the accurateness and automation of the process knowledge reuse,therefore effectively facilitate the process construction during the software process improvement.

  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. Role of Context in Risk-Based Reasoning

    Science.gov (United States)

    Pratt, Dave; Ainley, Janet; Kent, Phillip; Levinson, Ralph; Yogui, Cristina; Kapadia, Ramesh

    2011-01-01

    In this article we report the influence of contextual factors on mathematics and science teachers' reasoning in risk-based decision-making. We examine previous research that presents judgments of risk as being subjectively influenced by contextual factors and other research that explores the role of context in mathematical problem-solving. Our own…

  8. 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.

  9. Several CASE Lessons Can Improve Students' Control of Variables Reasoning Scheme Ability

    Science.gov (United States)

    Babai, Reuven; Levit-Dori, Tamar

    2009-01-01

    This study addressed one aspect of scientific reasoning, the control of variables reasoning scheme. We explored whether a short intervention aimed at accelerating this reasoning scheme by CASE lessons would improve students' ability to apply this scheme in problems related to the biology curriculum. About 120 students from grade nine were assessed…

  10. Taxonomic reasoning: The case of giant wrinkled frog

    OpenAIRE

    Dinesh, KP; Radhakrishna, C; Reddy, Manjunatha AH; Gururaja, KV

    2008-01-01

    A recent issue of Current Science carried a correspondence entitled ‘Taxonomic vandalism: The case of the giant wrinkled frog’ by Ranjit Daniels1. The author is critical of a communication authored by us.

  11. 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...

  12. 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.

  13. 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.

  14. 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.

  15. 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

  16. 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.

  17. What reasoning support for ontology and rules? the brain anatomy case study

    OpenAIRE

    Golbreich, Christine; Dameron, Olivier; Bierlaire, Olivier; Gibaud, Bernard

    2005-01-01

    This paper presents a medical case study, which requires reasoning with an OWL ontology extended by rules. The application aims at assisting the labeling of some brain cortex structures identified in MRI images. A simplified example is provided to illustrate the need for supplementing OWL with rules, for reasoning over such hybrid knowledge, and showing potential issues with doing that. Then, we describe some of the available techniques and implementations for reasoning over hybrid systems an...

  18. 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.

  19. A Method of Fuzzy Case-Based Reasoning Emergency Decision-making for Unconventional Emergency Based on Knowledge Management%基于知识管理视角的非常规突发事件模糊案例推理应急决策方法

    Institute of Scientific and Technical Information of China (English)

    蔡玫; 曹杰

    2015-01-01

    On the basis of analyzing the emergency knowledge management, this paper provides a fuzzy emergency decision-making method based on Case-Based Reasoning (CBR). According to the diversity, uncertainty of the knowledge in the case database, it provides a new information representation (two-dimensional representation), and structures a case data-base. Then it sets up a case matching model based on two-dimensional representation and promotes to achieve CBR emer-gency decision-making mode based on knowledge management.%对非常规突发事件的应急知识管理分析,提出了基于案例推理的应急决策方法。针对案例库中知识的多元性、不确定性提出新的知识表达方式(二维信息表示)构建案例库,给出基于二维信息的模糊相似度的案例匹配模型,从理论上构建一类基于模糊案例推理的应急决策方法。

  20. 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…

  1. 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.

  2. 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. PMID:25350904

  3. 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.

  4. 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.

  5. Case Base Mining for Adaptation Knowledge Acquisition

    OpenAIRE

    D'Aquin, Mathieu; Badra, Fadi; Lafrogne, Sandrine; Lieber, Jean; Napoli, Amedeo; Szathmary, Laszlo

    2007-01-01

    International audience In case-based reasoning, the adaptation of a source case in order to solve the target problem is at the same time crucial and difficult to implement. The reason for this difficulty is that, in general, adaptation strongly depends on domain-dependent knowledge. This fact motivates research on adaptation knowledge acquisition (AKA). This paper presents an approach to AKA based on the principles and techniques of knowledge discovery from databases and data-mining. It is...

  6. 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

  7. 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.

  8. Argumentation and Equity in Inquiry-Based Science Instruction: Reasoning Patterns of Teachers and Students

    Science.gov (United States)

    Irish, Tobias E. L.

    This multiple case study explores issues of equity in science education through an examination of how teachers' reasoning patterns compare with students' reasoning patterns during inquiry-based lessons. It also examines the ways in which teachers utilize students' cultural and linguistic resources, or funds of knowledge, during inquiry-based lessons and the ways in which students utilize their funds of knowledge, during inquiry-based lessons. Three middle school teachers and a total of 57 middle school students participated in this study. The data collection involved classroom observations and multiple interviews with each of the teachers individually and with small groups of students. The findings indicate that the students are capable of far more complex reasoning than what was elicited by the lessons observed or what was modeled and expected by the teachers, but that during the inquiry-based lessons they conformed to the more simplistic reasoning patterns they perceived as the expected norm of classroom dialogue. The findings also indicate that the students possess funds of knowledge that are relevant to science topics, but very seldom use these funds in the context of their inquiry-based lessons. In addition, the teachers in this study very seldom worked to elicit students' use of their funds in these contexts. The few attempts they did make involved the use of analogies, examples, or questions. The findings from this study have implications for both teachers and teacher educators in that they highlight similarities and differences in reasoning that can help teachers establish instructional congruence and facilitate more equitable science instruction. They also provide insight into how students' cultural and linguistic resources are utilized during inquiry-based science lessons.

  9. 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…

  10. 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.

  11. 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.

  12. Case Base Mining for Adaptation Knowledge Acquisition

    CERN Document Server

    D'Aquin, Mathieu; Lafrogne, Sandrine; Lieber, Jean; Napoli, Amedeo; Szathmary, Laszlo

    2007-01-01

    In case-based reasoning, the adaptation of a source case in order to solve the target problem is at the same time crucial and difficult to implement. The reason for this difficulty is that, in general, adaptation strongly depends on domain-dependent knowledge. This fact motivates research on adaptation knowledge acquisition (AKA). This paper presents an approach to AKA based on the principles and techniques of knowledge discovery from databases and data-mining. It is implemented in CABAMAKA, a system that explores the variations within the case base to elicit adaptation knowledge. This system has been successfully tested in an application of case-based reasoning to decision support in the domain of breast cancer treatment.

  13. 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...

  14. 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.

  15. 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.

  16. Reasons for not finalising child sexual abuse cases in alternative care : social workers' perceptions / Veronica Grunder

    OpenAIRE

    Grunder, Veronica

    2014-01-01

    Dealing with child sexual abuse cases, is an integral part of the social workers job. Due to the nature of the abuse and the provisions made by the Children’s Act, 38 of 2005, as amended, to safeguard the child victim, many social workers remove children of child sexual abuse cases and place them in alternative care. The aim of this study is to explore the perceptions of social workers on the reasons why child sexual abuse cases in alternative care is not finalized. Some of the factors tha...

  17. 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.

  18. 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.

  19. Implementing accountability for reasonableness--the case of pharmaceutical reimbursement in Sweden.

    Science.gov (United States)

    Jansson, Sandra

    2007-04-01

    This paper aims to describe the priority-setting procedure for new original pharmaceuticals practiced by the Swedish Pharmaceutical Benefits Board (LFN), to analyse the outcome of the procedure in terms of decisions and the relative importance of ethical principles, and to examine the reactions of stakeholders. All the 'principally important' decisions made by the LFN during its first 33 months of operation were analysed. The study is theoretically anchored in the theory of fair and legitimate priority-setting procedures by Daniels and Sabin, and is based on public documents, media articles, and semi-structured interviews. Only nine cases resulted in a rejection of a subsidy by the LFN and 15 in a limited or conditional subsidy. Total rejections rather than limitations gave rise to actions by stakeholders. Primarily, the principle of cost-effectiveness was used when limiting/conditioning or totally rejecting a subsidy. This study suggests that implementing a priority-setting process that fulfils the conditions of accountability for reasonableness can result in a priority-setting process which is generally perceived as fair and legitimate by the major stakeholders and may increase social learning in terms of accepting the necessity of priority setting in health care. The principle of cost-effectiveness increased in importance when the demand for openness and transparency increased. PMID:18634660

  20. 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.

  1. 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

  2. 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.

  3. Simulation-Based Dysphagia Training: Teaching Interprofessional Clinical Reasoning in a Hospital Environment.

    Science.gov (United States)

    Miles, Anna; Friary, Philippa; Jackson, Bianca; Sekula, Julia; Braakhuis, Andrea

    2016-06-01

    This study evaluated hospital readiness and interprofessional clinical reasoning in speech-language pathology and dietetics students following a simulation-based teaching package. Thirty-one students participated in two half-day simulation workshops. The training included orientation to the hospital setting, part-task skill learning and immersive simulated cases. Students completed workshop evaluation forms. They filled in a 10-question survey regarding confidence, knowledge and preparedness for working in a hospital environment before and immediately after the workshops. Students completed written 15-min clinical vignettes at 1 month prior to training, immediately prior to training and immediately after training. A marking rubric was devised to evaluate the responses to the clinical vignettes within a framework of interprofessional education. The simulation workshops were well received by all students. There was a significant increase in students' self-ratings of confidence, preparedness and knowledge following the study day (p < .001). There was a significant increase in student overall scores in clinical vignettes after training with the greatest increase in clinical reasoning (p < .001). Interprofessional simulation-based training has benefits in developing hospital readiness and clinical reasoning in allied health students. PMID:26803776

  4. 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

  5. Cortical Bases of Elementary Deductive Reasoning: Inference, Memory, and Metadeduction

    Science.gov (United States)

    Reverberi, Carlo; Shallice, Tim; D'Agostini, Serena; Skrap, Miran; Bonatti, Luca L.

    2009-01-01

    Elementary deduction is the ability of unreflectively drawing conclusions from explicit or implicit premises, on the basis of their logical forms. This ability is involved in many aspects of human cognition and interactions. To date, limited evidence exists on its cortical bases. We propose a model of elementary deduction in which logical…

  6. 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.

  7. 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

  8. 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.

  9. DEFEASIBLE REASONING IN WEB-BASED FORMS THROUGH ARGUMENTATION

    OpenAIRE

    SERGIO ALEJANDRO GÓMEZ; CARLOS IVÁN CHESÑEVAR; GUILLERMO RICARDO SIMARI

    2008-01-01

    The notion of forms as a way of organizing and presenting data has been used since the beginning of the World Wide Web. Web-based forms have evolved together with the development of new markup languages, in which it is possible to provide validation scripts as part of the form code to test whether the intended meaning of the form is correct. However, for the form designer, part of this intended meaning frequently involves other features which are not constraints by themselves, but rather attr...

  10. Study on Case-Based Reasoning for Auto Service Based on Ontology Model of Automotive after-Sale Service%基于汽车售后服务本体模型的汽车服务案例式推理研究

    Institute of Scientific and Technical Information of China (English)

    曾珠; 吕书玉; 李冰

    2013-01-01

    Ontology theories are applied to after-sale service of motor car in this paper.In modeling the problem,three ontology models are constructed,they are:ontology of driving behavior,ontology of driving environment,and ontology of automobile domain.With these models and their association,an ontology model for automotive after-sale service is built.Thus,the intrinsic factors affecting automotive after-sales service are clarified.Then,based on the model,a similarity calculation method for automotive after-sale service is put forward based on case-oriented reasoning.%将本体论理论方法应用于汽车售后服务领域,利用本体论构造客户驾驶行为本体、驾驶环境本体和汽车领域本体,并结合这三个本体之间的关联,构建汽车售后服务本体模型,从而厘清了影响汽车售后服务诸因素的内在关联.根据汽车售后服务本体模型提出驾驶行为相似度和驾驶环境相似度的度量方法,基于驾驶行为相似度、道路环境相似度和气候环境相似度,提出了案例相似度的计算方法.

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

    OpenAIRE

    Kapil Khandelwal; Durga Prasad Sharma

    2013-01-01

    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...

  12. 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

  13. Using Model-Based Reasoning for Autonomous Instrument Operation

    Science.gov (United States)

    Johnson, Mike; Rilee, M.; Truszkowski, W.; Powers, Edward I. (Technical Monitor)

    2000-01-01

    of environmental hazards, frame the problem of constructing autonomous science instruments. we are developing a model of the Low Energy Neutral Atom instrument (LENA) that is currently flying on board the Imager for Magnetosphere-to-Aurora Global Exploration (IMAGE) spacecraft. LENA is a particle detector that uses high voltage electrostatic optics and time-of-flight mass spectrometry to image neutral atom emissions from the denser regions of the Earth's magnetosphere. As with most spacecraft borne science instruments, phenomena in addition to neutral atoms are detected by LENA. Solar radiation and energetic particles from Earth's radiation belts are of particular concern because they may help generate currents that may compromise LENA's long term performance. An explicit model of the instrument response has been constructed and is currently in use on board IMAGE to dynamically adapt LENA to the presence or absence of energetic background radiations. The components of LENA are common in space science instrumentation, and lessons learned by modelling this system may be applied to other instruments. This work demonstrates that a model-based approach can be used to enhance science instrument effectiveness. Our future work involves the extension of these methods to cover more aspects of LENA operation and the generalization to other space science instrumentation.

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

    OpenAIRE

    Taís Quevedo Marcolino

    2014-01-01

    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 ...

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

    OpenAIRE

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

    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...

  18. Profiling cyber attackers using case-based reasoning

    OpenAIRE

    Kapetanakis, Stelios; Filippoupolitis, Avgoustinos; Loukas, George; Al Murayziq, Tariq Saad

    2014-01-01

    Computer security would arguably benefit from more information on the characteristics of the particular human attacker behind a security incident. Nevertheless, technical security mechanisms have always focused on the at- tack's characteristics rather than the attacker's. The latter is a challenging prob- lem, as relevant data cannot easily be found. We argue that the cyber traces left by a human attacker during an intrusion attempt can help towards building a profile of the particular person...

  19. 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...

  20. IMPROVING PERFORMANCE OF BUSINESS INTELLIGENCE THROUGH CASE BASED REASONING

    OpenAIRE

    Vivek Jaglan,; Surjeet Dalal,; Dr. S. Srinivasan

    2011-01-01

    The managers should be skilled to make better decisions in the business organization. They also need a supportive environment where they won’t be unfairly criticised for making wrong decisions. Decisionmaking increasingly happens at all levels of a business. Business Intelligence delivers the appropriate data at the proper time and in the precise arrangement. It offers user-friendly information openly to users where they can work, team up, and make resolutions. Although the business intellige...

  1. The worked example and expertise reversal effect in less structured tasks: Learning to reason about legal cases

    OpenAIRE

    Nievelstein, Fleurie; van Gog, Tamara; Van Dijck, Gijs; Boshuizen, Els

    2013-01-01

    Nievelstein, F., Van Gog, T., Van Dijck, G., & Boshuizen, H. P. A. (2013). The worked example and expertise reversal effect in less structured tasks: Learning to reason about legal cases. Contemporary Educational Psychology, 38, 118–125.

  2. 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.

  3. Leaving rates and reasons for leaving in an Engineering faculty in South Africa: A case study

    Directory of Open Access Journals (Sweden)

    Jonathan Pocock

    2012-03-01

    Full Text Available This paper describes a case study undertaken at the Faculty of Engineering of the University of KwaZulu-Natal to determine the leaving rates from the faculty both by a cohort analysis (over the existence of the university from 2005 to 2010 and by a 1-year population balance over the whole faculty in 2009. Students who had left the faculty who could have continued were identified from the population balance and interviewed to determine the common reasons for leaving. The cohort analysis showed that from 2005 through to 2008, the leaving rate from first-year cohorts was reduced year on year (from over 22% to below 14%. This reduction coincided with stabilisation of the faculty after a merger process and increased academic support. In 2009, however, an increase in the proportion of first-year students who left (to over 17% was identified, which may be linked to the entry of students who had taken the new National Senior Certificate in South African high schools. The population balance over the year 2009 showed an academic exclusion rate of approximately 6% of the total undergraduate student body, and, more significantly, an academic leaving rate of about 14% of the total student body. The exclusion rate remained fairly static across three semesters whilst voluntary leavers increased over the same period. An analysis and interviews with a sample of the students who left showed that financial reasons played a significant role in these rates, with 49% of non-academically excluded students having financial difficulties, and that a significant proportion of students continue their studies at universities of technology. Although this is a case study within one institution, it is hoped that the findings can inform the current debate surrounding increasing throughput in Science and Engineering within the country.

  4. 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...... programming, hypotheses with priority and scope, and nonmonotonic reasoning. Examples are presented as executable code so the paper may also serve  the additional purpose of a practical guide for developing such programs, and it is demonstrated that the approach provides a seamless  integration with existing...

  5. Hidden with Sufficient Reason: A Cumulative Case against J. L. Schellenberg s Hiddenness of God Argument

    OpenAIRE

    Ottosen, Espen

    2015-01-01

    J. L. Schellenberg argues in the book Divine Hiddenness and Human Reason that the apparent hiddenness of God is—in itself—an atheistic argument. His argument takes as the starting premise: If a perfectly loving God exists, reasonable nonbelief does not occur. Then he tries to show that reasonable nonbelief does occur. Thus, the conclusion is that he has an argument of considerable force from the reasonableness of nonbelief to the nonexistence of God. I find that the argument of Schellenbe...

  6. 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.

  7. 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.

  8. 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. PMID:26039547

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

    OpenAIRE

    J Michael Pearson; Emad A. Abu Shanab; Khalil Md Nor

    2008-01-01

    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 fr...

  10. Cross Layer Aware Adaptive Mac Based On Knowledge Based Reasoning for Cognitive Radio Computer Networks

    Directory of Open Access Journals (Sweden)

    Vibhakar Pathak

    2010-06-01

    Full Text Available In this paper we are proposing a new concept in MAC layer protocol design for Cognitive radio bycombining information held by physical layer and MAC layer with analytical engine based on knowledgebased reasoning approach. In the proposed system a cross layer information regarding signal tointerference and noise ratio (SINR and received power are analyzed with help of knowledge basedreasoning system to determine minimum power to transmit and size of contention window, to minimizebackoff, collision, save power and drop packets. The performance analysis of the proposed protocolindicates improvement in power saving, lowering backoff and significant decrease in number of droppackets. The simulation environment was implement using OMNET++ discrete simulation tool withMobilty framework and MiXiM simulation library.

  11. An ontological case base engineering methodology for diabetes management.

    Science.gov (United States)

    El-Sappagh, Shaker H; El-Masri, Samir; Elmogy, Mohammed; Riad, A M; Saddik, Basema

    2014-08-01

    Ontology engineering covers issues related to ontology development and use. In Case Based Reasoning (CBR) system, ontology plays two main roles; the first as case base and the second as domain ontology. However, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. This paper proposes an ontology engineering methodology to generate case bases in the medical domain. It mainly focuses on the research of case representation in the form of ontology to support the case semantic retrieval and enhance all knowledge intensive CBR processes. A case study on diabetes diagnosis case base will be provided to evaluate the proposed methodology.

  12. 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.

  13. 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. PMID:20131973

  14. 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.

  15. 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.

  16. 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.

  17. 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......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...

  18. 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

  19. 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…

  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. Conveying Clinical Reasoning Based on Visual Observation via Eye-Movement Modelling Examples

    Science.gov (United States)

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

    2012-01-01

    Complex perceptual tasks, like clinical reasoning based on visual observations of patients, require not only conceptual knowledge about diagnostic classes but also the skills to visually search for symptoms and interpret these observations. However, medical education so far has focused very little on how visual observation skills can be…

  2. 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

  3. Robustness of triple I algorithms based on Schweizer-Sklar operators in fuzzy reasoning

    Directory of Open Access Journals (Sweden)

    Minxia Luo

    2016-01-01

    Full Text Available In this paper, the perturbation of fuzzy connectives and the robustness of fuzzy reasoning are investigated. This perturbation of Schweizer-Sklar parameterized t-norms and its residuated implication operators are given. We show that full implication triple I algorithms based on Schweizer-sklar operators are robust for normalized Minkowski distance.

  4. Decision Aid Tool and Ontology-Based Reasoning for Critical Infrastructure Vulnerabilities and Threats Analysis

    Science.gov (United States)

    Choraś, Michał; Flizikowski, Adam; Kozik, Rafał; Hołubowicz, Witold

    In this paper, a decision aid tool (DAT) for Critical Infrastructure threats analysis and ranking is presented. We propose the ontology-based approach that provides classification, relationships and reasoning about vulnerabilities and threats of the critical infrastructures. Our approach is a part of research within INSPIRE project for increasing security and protection through infrastructure resilience.

  5. Gaming and the Commodities Market: An Economic-Based Game for Developing Reasoning Skills

    Science.gov (United States)

    Witschonke, Christopher; Herrera, Jose Maria

    2013-01-01

    The authors describe an economics-based game they have developed to instruct student teachers in the value of games and gaming for developing reasoning and decision-making skills in economics in K-12 students (5-18-year-olds). The game is designed to progress through each grade level so that by high school students have a thorough appreciation and…

  6. 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…

  7. 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.

  8. 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. PMID:25053006

  9. 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.

  10. Relating Students' Reasoning To the History of Science: The Case of Chemical Equilibrium.

    Science.gov (United States)

    Van Driel, Jan H.; De Vos, Wobbe; Verloop, Nico

    1998-01-01

    Relates the reasoning of students introduced to the concept of chemical equilibrium to the historical development of the concept. Concludes that the study of authentic historical sources may inspire the design of effective teaching activities. Contains 33 references. (DDR)

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

    OpenAIRE

    Kara, Selma

    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

  12. 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…

  13. 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).

  14. Intelligent Adaptation Process for Case Based Systems

    International Nuclear Information System (INIS)

    Case Based Reasoning (CBR) Systems is one of the important decision making systems applied in many fields all over the world. The effectiveness of any CBR system based on the quality of the storage cases in the case library. Similar cases can be retrieved and adapted to produce the solution for the new problem. One of the main issues faced the CBR systems is the difficulties of achieving the useful cases. The proposed system introduces a new approach that uses the genetic algorithm (GA) technique to automate constructing the cases into the case library. Also, it can optimize the best one to be stored in the library for the future uses. However, the proposed system can avoid the problems of the uncertain and noisy cases. Besides, it can simply the retrieving and adaptation processes. So, it can improve the performance of the CBR system. The suggested system can be applied for many real-time problems. It has been applied for diagnosis the faults of the wireless network, diagnosis of the cancer diseases, diagnosis of the debugging of a software as cases of study. The proposed system has proved its performance in this field

  15. An attitude-based reasoning strategy to enhance interaction with augmented objects

    OpenAIRE

    Iglesias Alvarez, Josué; Gómez Cordero, David; Bernardos Barbolla, Ana M.; Casar Corredera, Jose Ramon

    2012-01-01

    This paper describes a mobile-based system to interact with objects in smart spaces, where the offer of resources may be extensive. The underlying idea is to use the augmentation capabilities of the mobile device to enable it as user-object mediator. In particular, the paper details how to build an attitude-based reasoning strategy that facilitates user-object interaction and resource filtering. The strategy prioritizes the available resources depending on the spatial history of the user, his...

  16. 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.

  17. 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...

  18. 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...

  19. Pritchard's Reasons

    OpenAIRE

    Littlejohn, Clayton Mitchell

    2016-01-01

    Pritchard’s epistemological disjunctivist thinks that when we come to know things through vision our perceptual beliefs are based on reasons that provide factive support. The reasons that constitute the rational basis for your belief that the page before you is white and covered in black marks entails that it is and includes things that could not have provided rational support for your beliefs if you had been hallucinating. There are some issues that I would like to raise. First, what motivat...

  20. UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning

    Directory of Open Access Journals (Sweden)

    J. Fernandez Galarreta

    2014-09-01

    Full Text Available Structural damage assessment is critical after disasters but remains a challenge. Many studies have explored the potential of remote sensing data, but limitations of vertical data persist. Oblique imagery has been identified as more useful, though the multi-angle imagery also adds a new dimension of complexity. This paper addresses damage assessment based on multi-perspective, overlapping, very high resolution oblique images obtained with unmanned aerial vehicles (UAVs. 3-D point-cloud assessment for the entire building is combined with detailed object-based image analysis (OBIA of façades and roofs. This research focuses not on automatic damage assessment, but on creating a methodology that supports the often ambiguous classification of intermediate damage levels, aiming at producing comprehensive per-building damage scores. We identify completely damaged structures in the 3-D point cloud, and for all other cases provide the OBIA-based damage indicators to be used as auxiliary information by damage analysts. The results demonstrate the usability of the 3-D point-cloud data to identify major damage features. Also the UAV-derived and OBIA-processed oblique images are shown to be a suitable basis for the identification of detailed damage features on façades and roofs. Finally, we also demonstrate the possibility of aggregating the multi-perspective damage information at building level.

  1. A Sarsa(λ Algorithm Based on Double-Layer Fuzzy Reasoning

    Directory of Open Access Journals (Sweden)

    Quan Liu

    2013-01-01

    Full Text Available Solving reinforcement learning problems in continuous space with function approximation is currently a research hotspot of machine learning. When dealing with the continuous space problems, the classic Q-iteration algorithms based on lookup table or function approximation converge slowly and are difficult to derive a continuous policy. To overcome the above weaknesses, we propose an algorithm named DFR-Sarsa(λ based on double-layer fuzzy reasoning and prove its convergence. In this algorithm, the first reasoning layer uses fuzzy sets of state to compute continuous actions; the second reasoning layer uses fuzzy sets of action to compute the components of Q-value. Then, these two fuzzy layers are combined to compute the Q-value function of continuous action space. Besides, this algorithm utilizes the membership degrees of activation rules in the two fuzzy reasoning layers to update the eligibility traces. Applying DFR-Sarsa(λ to the Mountain Car and Cart-pole Balancing problems, experimental results show that the algorithm not only can be used to get a continuous action policy, but also has a better convergence performance.

  2. Danish Majority Children’s Reasoning About Exclusion Based on Gender and Ethnicity

    DEFF Research Database (Denmark)

    Møller, Signe Juhl; Tenenbaum, Harriet R.

    2011-01-01

    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 with the perpetr...... 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.......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...... 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...

  3. Preschoolers' Causal Reasoning during Shared Picture Book Storytelling: A Cross-Case Comparison Descriptive Study

    Science.gov (United States)

    Reed, Helen C.; Hurks, Petra P. M.; Kirschner, Paul A.; Jolles, Jelle

    2015-01-01

    This study investigates how shared picture book storytelling within a peer-group setting could stimulate causal reasoning in children aged 4½ to 6 years. Twenty-eight children from preschool classes of three schools were allocated to one of six groups (four to five children per group). Each group participated in six storytelling sessions over a…

  4. 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…

  5. Developing Learning Environments Which Support Early Algebraic Reasoning: A Case from a New Zealand Primary Classroom

    Science.gov (United States)

    Hunter, Jodie

    2014-01-01

    Current reforms in mathematics education advocate the development of mathematical learning communities in which students have opportunities to engage in mathematical discourse and classroom practices which underlie algebraic reasoning. This article specifically addresses the pedagogical actions teachers take which structure student engagement in…

  6. 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.

  7. 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.

  8. 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...

  9. 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.

  10. 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 ...

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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

  16. 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.

  17. 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.

  18. Evidence-Based Practice: On the Function of Evidence in Practical Reasoning

    Directory of Open Access Journals (Sweden)

    Tone Kvernbekk

    2014-01-01

    Full Text Available There is a vast literature on evidence-based practice (EBP in education. What function does evidence have in practical deliberations toward decisions about what to do? Most writers on EBP seem to think of evidence largely as quantitative data, serving as a foundation from which practice could and should be directly derived. In this paper I argue that we are better served by according a different and more indirect function to evidence in practical reasoning. To establish this claim I employ Toulmin’s model of argumentation. On this model the evidence-as-foundation view amounts to evidence as data/grounds. The model also offers a different function for evidence, as backing of the warrant, and I argue in this paper that this is a more adequate understanding of the function of evidence in practical reasoning

  19. 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.

  20. 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.

  1. Geological reasons causing rapid rate decline. A case study of Field T, Russia

    International Nuclear Information System (INIS)

    The paper introduces the complex approach to determining possible geological reasons causing rate decline in the wells of Field T, Russia. Therefore, possible geological reasons are sequentially considered and were divided into three main groups: 1) rate decline due to poorer reservoir quality; 2) rate decline due to facies lateral substitution; 3) rate decline due to active fault tectonics. The most appropriate facies models were constructed on the basis of all available data. Besides, in this study, core, well logging, seismic and well test data were integrated for the fullest reservoir characterization. The core from several recently drilled wells was described in detail to determine clue features. Further, seismic data were interpreted: structural interpretation, including faults and attribute analysis, was implemented. Appropriate electrofacies models were chosen as well. At the final stage, all previously-mentioned data were integrated with appropriate facies model construction. However, as it turned out later, the facies model was not the key factor affecting the rapid decline that appeared in some wells. It is suggested that very proximal faults can be a possible explanation. To confirm this suggestion, well test data were additionally used and both analytical and numerical methods were applied to show the consistency of this theory

  2. 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 ...

  3. 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.

  4. 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...

  5. A conceptual model to empower software requirements conflict detection and resolution with rule-based reasoning

    Science.gov (United States)

    Ahmad, Sabrina; Jalil, Intan Ermahani A.; Ahmad, Sharifah Sakinah Syed

    2016-08-01

    It is seldom technical issues which impede the process of eliciting software requirements. The involvement of multiple stakeholders usually leads to conflicts and therefore the need of conflict detection and resolution effort is crucial. This paper presents a conceptual model to further improve current efforts. Hence, this paper forwards an improved conceptual model to assist the conflict detection and resolution effort which extends the model ability and improves overall performance. The significant of the new model is to empower the automation of conflicts detection and its severity level with rule-based reasoning.

  6. 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.

  7. 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.

  8. 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

  9. 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.

  10. 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.

  11. Intuitionistic Fuzzy Time Series Forecasting Model Based on Intuitionistic Fuzzy Reasoning

    Directory of Open Access Journals (Sweden)

    Ya’nan Wang

    2016-01-01

    Full Text Available Fuzzy sets theory cannot describe the data comprehensively, which has greatly limited the objectivity of fuzzy time series in uncertain data forecasting. In this regard, an intuitionistic fuzzy time series forecasting model is built. In the new model, a fuzzy clustering algorithm is used to divide the universe of discourse into unequal intervals, and a more objective technique for ascertaining the membership function and nonmembership function of the intuitionistic fuzzy set is proposed. On these bases, forecast rules based on intuitionistic fuzzy approximate reasoning are established. At last, contrast experiments on the enrollments of the University of Alabama and the Taiwan Stock Exchange Capitalization Weighted Stock Index are carried out. The results show that the new model has a clear advantage of improving the forecast accuracy.

  12. Two Cases with Normocomplementhemic Urticarial Vasculitis: The Other Reasons Should Be Determined

    Directory of Open Access Journals (Sweden)

    Onur Balcı

    2015-04-01

    Full Text Available Urticaria is mainly a fast consisting, scabious, erythematous and swelling lesions of the skin. Acute urticaria usually occurs after having a medicine or food. On the other hand, in the chronic urticaria, the process is longer, more scabious, and the skin lesions are more dramatic. In urticarial vasculitis, the lesions exist longer than 24 hours with pain or swelter instead of itchiness. It can be distinguished from basic urticaria with the damage of the small vessels by histopathologically. Here we present two normocomplementhemic urticarial vasculitis cases.

  13. Defining 'reasonable medical certainty' in court: What does it mean to medical experts in child abuse cases?

    Science.gov (United States)

    Dias, Mark S; Boehmer, Susan; Johnston-Walsh, Lucy; Levi, Benjamin H

    2015-12-01

    Physicians and others who provide expert testimony in court cases involving alleged child abuse may be instructed to state their conclusions within a 'reasonable medical certainty' (RMC). However, neither judges nor jurors knows what degree of probability constitutes RMC for a given expert, nor whether different experts use different standards to formulate their opinions. We sought to better understand how experts define RMC in the context of court cases. An email survey was sent to members of six list-serves, representing four specialties, whose members testify in child abuse cases. Respondents were asked to define how RMC corresponded to (1) the numerical probability that abuse occurred, (2) the ordinal probability, and (3) how their determinations relate to common legal standards ('preponderance of the evidence', 'clear and convincing', and 'beyond a reasonable doubt'). Participants were also asked how comfortable they were in defining RMC; whether their definition changed according to the charges or type of proceeding; and how they would apply RMC to several hypothetical cases. The 294 list-serve participants who responded included child abuse pediatricians (46%), forensic pathologists (21%), pediatric neurosurgeons (15%), pediatric ophthalmologists (12%), and others (6%). Though 95% of respondents had testified in court, only 45% had received training in the definition of RMC. Only 37% were comfortable defining RMC. Although many responses were highly clustered and paired comparisons showed that 95% of participants' responses were internally consistent, there was variability in respondents' definitions of RMC. There is some variability in how child abuse expert witnesses define and use the term RMC; we provide suggestions about how to more accurately and transparently define RMC to ensure justice in these cases. PMID:26589362

  14. 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...... are manipulated in order to profile known information in an optimal fashion. At other times diagrams are explored in order to gain new insights, solve problems or discover hidden meaning potentials. The latter cases often entail manipulations that either generate additional information or extract information...

  15. Intersection Detection Based on Qualitative Spatial Reasoning on Stopping Point Clusters

    Science.gov (United States)

    Zourlidou, S.; Sester, M.

    2016-06-01

    The purpose of this research is to propose and test a method for detecting intersections by analysing collectively acquired trajectories of moving vehicles. Instead of solely relying on the geometric features of the trajectories, such as heading changes, which may indicate turning points and consequently intersections, we extract semantic features of the trajectories in form of sequences of stops and moves. Under this spatiotemporal prism, the extracted semantic information which indicates where vehicles stop can reveal important locations, such as junctions. The advantage of the proposed approach in comparison with existing turning-points oriented approaches is that it can detect intersections even when not all the crossing road segments are sampled and therefore no turning points are observed in the trajectories. The challenge with this approach is that first of all, not all vehicles stop at the same location - thus, the stop-location is blurred along the direction of the road; this, secondly, leads to the effect that nearby junctions can induce similar stop-locations. As a first step, a density-based clustering is applied on the layer of stop observations and clusters of stop events are found. Representative points of the clusters are determined (one per cluster) and in a last step the existence of an intersection is clarified based on spatial relational cluster reasoning, with which less informative geospatial clusters, in terms of whether a junction exists and where its centre lies, are transformed in more informative ones. Relational reasoning criteria, based on the relative orientation of the clusters with their adjacent ones are discussed for making sense of the relation that connects them, and finally for forming groups of stop events that belong to the same junction.

  16. INTERSECTION DETECTION BASED ON QUALITATIVE SPATIAL REASONING ON STOPPING POINT CLUSTERS

    Directory of Open Access Journals (Sweden)

    S. Zourlidou

    2016-06-01

    Full Text Available The purpose of this research is to propose and test a method for detecting intersections by analysing collectively acquired trajectories of moving vehicles. Instead of solely relying on the geometric features of the trajectories, such as heading changes, which may indicate turning points and consequently intersections, we extract semantic features of the trajectories in form of sequences of stops and moves. Under this spatiotemporal prism, the extracted semantic information which indicates where vehicles stop can reveal important locations, such as junctions. The advantage of the proposed approach in comparison with existing turning-points oriented approaches is that it can detect intersections even when not all the crossing road segments are sampled and therefore no turning points are observed in the trajectories. The challenge with this approach is that first of all, not all vehicles stop at the same location – thus, the stop-location is blurred along the direction of the road; this, secondly, leads to the effect that nearby junctions can induce similar stop-locations. As a first step, a density-based clustering is applied on the layer of stop observations and clusters of stop events are found. Representative points of the clusters are determined (one per cluster and in a last step the existence of an intersection is clarified based on spatial relational cluster reasoning, with which less informative geospatial clusters, in terms of whether a junction exists and where its centre lies, are transformed in more informative ones. Relational reasoning criteria, based on the relative orientation of the clusters with their adjacent ones are discussed for making sense of the relation that connects them, and finally for forming groups of stop events that belong to the same junction.

  17. Analogical reasoning in handling emerging technologies: the case of umbilical cord blood biobanking.

    Science.gov (United States)

    Hofmann, Bjørn; Solbakk, Jan Helge; Holm, Søren

    2006-01-01

    How are we individually and as a society to handle new and emerging technologies? This challenging question underlies much of the bioethical debates of modern times. To address this question we need suitable conceptions of the new technology and ways of identifying its proper management and regulation. To establish conceptions and to find ways to handle emerging technologies we tend to use analogies extensively. The aim of this article is to investigate the role that analogies play or may play in the processes of understanding and managing new technology. More precisely we aim to unveil the role of analogies as analytical devices in exploring the "being" of the new technology as well the normative function of analogies in conceptualizing the characteristics and applications of new technology. Umbilical cord blood biobanking will be used as a case to investigate these roles and functions. PMID:17085411

  18. Reasons for Cancellation of Cases on the Day of Surgery-A Prospective Study

    Directory of Open Access Journals (Sweden)

    Rakesh Garg

    2009-01-01

    We believe that many of the on-the-day surgery cancellations of elective surgery were potentially avoidable. We observed that cancellations due to lack of theatre time were not only a scheduling problem but were mainly caused by surgeons underestimating the timeneeded for the operation. The requirement of the instruments necessary for scheduled surgical listshould be discussed a day prior to planned OR list and arranged. The non-availability of the surgeon should be informed in time so that another case is substituted in that slot. All patients who have met PACU discharge criteria must be discharged promptly to prevent delay in shifting out of the operated patient. Day care patients should be counseled adequately to report on time. Computerized scheduling should be utilized to create a realistic elective schedule. Audit should be carried out at regular intervals to find out the effective functioning of the operation theatre.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Nuclear energy at a moment of truth. Six reasons behind the case for nuclear power

    International Nuclear Information System (INIS)

    Through the years, the simple word 'nuclear' has become the focal point for a seemingly endless controversy, filled with passions and ideologies that sprang originally from a rational fear of nuclear war - but grew into an emotional, and now somewhat institutionalised, standoff that plagues public discourse as to how the world's nations can best meet their energy needs in the 21st century. Along the way, the very idea of nuclear energy became a political and psychological surrogate. Scepticism about government, distrust of large corporations, worry over toxic industrial effluents, a subconscious fear of cataclysm - all these real feelings and fears are crystallized, for many people, in a vague concept called 'the nuclear industry'. The subject of this presentation is that this is an idea whose time has come: that nuclear energy, a half century after its inception, has reached a moment of truth, in no less than six important respects: first, the technology has come of age; second, on a national level, key issues affecting nuclear energy will soon demand decision; third, fossil supplies may simply be inadequate to meet world energy needs; fourth, the valuable uses of nuclear power will soon multiply; fifth, and of profound importance, a massive shift toward nuclear power is now environmentally indispensable; sixth, this moment of truth for nuclear power requires a telling of the truth. Given the urgent need for public awareness and political decision, those able to do so must now make the case for nuclear energy - forcefully, without apology or equivocation, and with persuasive effect. A great deal depends on developing the wisdom and will to exploit nuclear technology to full benefit

  7. 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

  8. An Indexing Scheme for Case-Based Manufacturing Vision Development

    DEFF Research Database (Denmark)

    Wang, Chengbo; Johansen, John; Luxhøj, James T.

    2004-01-01

    This paper focuses on one critical element, indexing – retaining and representing knowledge in an applied case-based reasoning (CBR) model for supporting strategic manufacturing vision development (CBRM). Manufacturing vision (MV) is a kind of knowledge management concept and process concerned...

  9. [Application of fuzzy reasoning to myocardial ischemia judgment based on electrocardiogram ST-T complex].

    Science.gov (United States)

    Song, Jinzhong; Yan, Hong; Liu, Guizhi; Kuang, Hong

    2012-02-01

    Electrocardiogram (ECG) is a convenient, economic, and non-invasive detecting tool in myocardial ischemia (MI). Its clinical appearance is mainly exhibited by ST-T complex change. MI events are usually instantaneous and asymptomatic in some cases, which cannot be forecasted to have a precautionary measure in time by doctors. The automatic detection of MI by computer and a cued warning of danger in real time play an important role in diagnosing heart disease. With the help of the medical staff, some quantitative approbatory indicators, such as ST-segment deviation, the amplitude of T-wave peak and the rate of ST and heart rate (HR), were combined to judge MI using fuzzy reasoning. After MIT-BIH database and the long-term ST database (LTST) verification, sensitivity and positive predictive values reached 75% and 78% respectively, and specificity and negative predictive values were 85% and 87% respectively. In addition, the proposed method was close to human way of thinking and understanding, and easy to apply in clinical detection and engineering fields. PMID:22404027

  10. 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.

  11. 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.......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....

  12. A Population-Based Investigation into the Self-Reported Reasons for Sleep Problems

    OpenAIRE

    David Armstrong; Alex Dregan

    2014-01-01

    Typologies of sleep problems have usually relied on identifying underlying causes or symptom clusters. In this study the value of using the patient's own reasons for sleep disturbance are explored. Using secondary data analysis of a nationally representative psychiatric survey the patterning of the various reasons respondents provided for self-reported sleep problems were examined. Over two thirds (69.3%) of respondents could identify a specific reason for their sleep problem with worry (37.9...

  13. 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.

  14. 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. PMID:26349445

  15. Using focused reflection and articulation to promote clinical reasoning: an evidence-based teaching strategy.

    Science.gov (United States)

    Murphy, Judy Irene

    2004-01-01

    This research explored the effects of instructing first-semester nursing students in the use of focused reflection and articulation to promote clinical reasoning. Student volunteers were randomly assigned to four clinical groups. Two groups that received instruction in the use of focused reflection and articulation scored significantly higher on the practice measure of clinical reasoning, accounting for 29 percent of the variance between groups. Once clinical reasoning scores were tabulated, the top six and bottom six scorers on clinical reasoning were interviewed to identify qualitative differences between students with different reasoning levels. Themes from the interviews revealed that those with high clinical reasoning reported a high frequency of use of focused reflection and articulation, engaged in abstract learning, and were more self-regulated in their learning than those who scored low on clinical reasoning. This study provides empirical evidence that using instructional methods that focus learners' attention on the concrete application of theory in the practicum setting helps enhance their reasoning skills. PMID:15508561

  16. A population-based investigation into the self-reported reasons for sleep problems.

    Science.gov (United States)

    Armstrong, David; Dregan, Alex

    2014-01-01

    Typologies of sleep problems have usually relied on identifying underlying causes or symptom clusters. In this study the value of using the patient's own reasons for sleep disturbance are explored. Using secondary data analysis of a nationally representative psychiatric survey the patterning of the various reasons respondents provided for self-reported sleep problems were examined. Over two thirds (69.3%) of respondents could identify a specific reason for their sleep problem with worry (37.9%) and illness (20.1%) representing the most commonly reported reasons. And while women reported more sleep problems for almost every reason compared with men, the patterning of reasons by age showed marked variability. Sleep problem symptoms such as difficulty getting to sleep or waking early also showed variability by different reasons as did the association with major correlates such as worry, depression, anxiety and poor health. While prevalence surveys of 'insomnia' or 'poor sleep' often assume the identification of an underlying homogeneous construct there may be grounds for recognising the existence of different sleep problem types particularly in the context of the patient's perceived reason for the problem. PMID:24983754

  17. A population-based investigation into the self-reported reasons for sleep problems.

    Directory of Open Access Journals (Sweden)

    David Armstrong

    Full Text Available Typologies of sleep problems have usually relied on identifying underlying causes or symptom clusters. In this study the value of using the patient's own reasons for sleep disturbance are explored. Using secondary data analysis of a nationally representative psychiatric survey the patterning of the various reasons respondents provided for self-reported sleep problems were examined. Over two thirds (69.3% of respondents could identify a specific reason for their sleep problem with worry (37.9% and illness (20.1% representing the most commonly reported reasons. And while women reported more sleep problems for almost every reason compared with men, the patterning of reasons by age showed marked variability. Sleep problem symptoms such as difficulty getting to sleep or waking early also showed variability by different reasons as did the association with major correlates such as worry, depression, anxiety and poor health. While prevalence surveys of 'insomnia' or 'poor sleep' often assume the identification of an underlying homogeneous construct there may be grounds for recognising the existence of different sleep problem types particularly in the context of the patient's perceived reason for the problem.

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

    International Nuclear Information System (INIS)

    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)

  19. 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).

  20. 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.

  1. 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.

  2. 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.

  3. Reasonable Accommodation Information Tracking System

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Reasonable Accommodation Information Tracking System (RAITS) is a case management system that allows the National Reasonable Accommodation Coordinator (NRAC)...

  4. 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.

  5. 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.

  6. 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...

  7. 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.

  8. On the analysis of set-based fuzzy quantified reasoning using classical syllogistics

    OpenAIRE

    Pereira-Fariña, Martín; Díaz-Hermida, Félix; Bugarín Diz, Alberto José

    2014-01-01

    Syllogism is a type of deductive reasoning involving quantified statements. The syllogistic reasoning scheme in the classical Aristotelian framework involves three crisp term sets and four linguistic quantifiers, for which the main support is the linguistic properties of the quantifiers. A number of fuzzy approaches for defining an approximate syllogism have been proposed for which the main support is cardinality calculus. In this paper we analyze fuzzy syllogistic models previously described...

  9. 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.

  10. Case-based approaches for knowledge application and organisational learning

    DEFF Research Database (Denmark)

    Wang, Chengbo; Johansen, John; Luxhøj, James T.;

    2005-01-01

    structured processes to execute the organisational learning and knowledge application, which intend to guide the practitioners during the process of manufacturing competence development and improvement. They are based on Case-Based Reasoning (CBR) methodology and rely on cases as the primary knowledge supply....... These practices and activity patterns are based on learning and applying the knowledge internal and external to an organisation. To ensure their smooth formulation process, there are two important techniques designed – an expert adaptation approach and an expert evaluation approach. These two approaches provide...

  11. 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.

  12. Natural representation of the deduction; applying to the temporal reasoning for expert systems based on production rules

    International Nuclear Information System (INIS)

    The expert systems development within a real time context, requires both to master the necessary reasoning about the time as well as to master the necessary response time for reasoning. Although rigorous temporal logic formalisms exist, strategies for temporal reasoning are either incomplete or else imply unacceptable response times. The first part presents the logic formalism upon which is based the production system. This formalism contains a three-valued logic system with truth-valued matrix, and a deductive system with a formal system. It does a rigorous work for this no standard logic, where the notions of consistency and completeness can be studied. Its development supports itself on the will to formalise the reasoning used at the elaboration time of the strategies to make them more explicit as the natural deduction method. The second part proposes an extension for the source logic formalism to take explicitly the time into account. The approach proposed through 'TANIS', the prototype of such an expert system shell, using a natural reasoning application is proposed. It allows, at the generation time, the implementation within the expert system, of an adapted deduction strategy to the symbolic temporal reasoning which is complete and ease the determination of the response time. (author)

  13. Hemispheric Differences in Relational Reasoning: Novel Insights based on an Old Technique

    Directory of Open Access Journals (Sweden)

    Michael S Vendetti

    2015-02-01

    Full Text Available Relational reasoning, or the ability to integrate multiple mental relations to arrive at a logical conclusion, is a critical component of higher cognition. A bilateral brain network involving lateral prefrontal and parietal cortices has been consistently implicated in relational reasoning. Some data suggest a preferential role for the left hemisphere in this form of reasoning, whereas others suggest that the two hemispheres make important contributions. To test for a hemispheric asymmetry in relational reasoning, we made use of an old technique known as visual half-field stimulus presentation to manipulate whether stimuli were presented briefly to one hemisphere or the other. Across two experiments, 54 neurologically healthy young adults performed a visuospatial transitive inference task. Pairs of colored shapes were presented rapidly in either the left or right visual hemifield as participants maintained central fixation, thereby isolating initial encoding to the contralateral hemisphere. We observed a left-hemisphere advantage for encoding a series of ordered visuospatial relations, but both hemispheres contributed equally to task performance when the relations were presented out of order. To our knowledge, this is the first study to reveal hemispheric differences in relational encoding in the intact brain. We discuss these findings in the context of a rich literature on hemispheric asymmetries in cognition.

  14. Theory of mind in the Mod game : An agent-based model of strategic reasoning

    NARCIS (Netherlands)

    de Weerd, Hermanes; Verbrugge, Rineke; Verheij, Bart; Herzig, Andreas; Lorini, Emiliano

    2014-01-01

    When people engage in social interactions, they often rely on their theory of mind, their ability to reason about unobservable mental content of others such as beliefs, goals, and intentions. This ability allows them to both understand why others behave the way they do as well as predict future beha

  15. A case-study of a socio-scientific issues curricular and pedagogical intervention in an undergraduate microbiology course: A focus on informal reasoning

    Science.gov (United States)

    Schalk, Kelly A.

    The purpose of this investigation was to measure specific ways a student interest SSI-based curricular and pedagogical affects undergraduates' ability informally reason. The delimited components of informal reasoning measured were undergraduates' Nature of Science conceptualizations and ability to evaluate scientific information. The socio-scientific issues (SSI) theoretical framework used in this case-study has been advocated as a means for improving students' functional scientific literacy. This investigation focused on the laboratory component of an undergraduate microbiology course in spring 2008. There were 26 participants. The instruments used in this study included: (1) Individual and Group research projects, (2) journals, (3) laboratory write-ups, (4) a laboratory quiz, (5) anonymous evaluations, and (6) a pre/post article exercise. All instruments yielded qualitative data, which were coded using the qualitative software NVivo7. Data analyses were subjected to instrumental triangulation, inter-rater reliability, and member-checking. It was determined that undergraduates' epistemological knowledge of scientific discovery, processes, and justification matured in response to the intervention. Specifically, students realized: (1) differences between facts, theories, and opinions; (2) testable questions are not definitively proven; (3) there is no stepwise scientific process; and (4) lack of data weakens a claim. It was determined that this knowledge influenced participants' beliefs and ability to informally reason. For instance, students exhibited more critical evaluations of scientific information. It was also found that undergraduates' prior opinions had changed over the semester. Further, the student interest aspect of this framework engaged learners by offering participants several opportunities to influentially examine microbiology issues that affected their life. The investigation provided empirically based insights into the ways undergraduates' interest

  16. Modelling Agent Attitudes in Legal Reasoning

    OpenAIRE

    Afzal Ballim; Tomas By; Yorick Wilks; Christian Lieske

    2012-01-01

    Common approaches to using artificial intelligence techniques in legal reasoning have generally been based on the logical reasoning methods developed in AI. In most cases, such systems can be considered to be expert systems applied in the legal domain. Other aspects of AI technology that rely more heavily on human psychology or behavioural patterns have rarely been used. This paper aims to show that some of these techniques have a rightful place in legal reasoning, and in particular that the ...

  17. 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…

  18. Development of Learning Management Model Based on Constructivist Theory and Reasoning Strategies for Enhancing the Critical Thinking of Secondary Students

    Science.gov (United States)

    Chaipichit, Dudduan; Jantharajit, Nirat; Chookhampaeng, Sumalee

    2015-01-01

    The objectives of this research were to study issues around the management of science learning, problems that are encountered, and to develop a learning management model to address those problems. The development of that model and the findings of its study were based on Constructivist Theory and literature on reasoning strategies for enhancing…

  19. 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.

  20. 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.

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

    OpenAIRE

    Wolf, Sebastian; Weißenberger, Barbara E.; 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...

  2. Monitoring Reasons for Encounter via an Electronic Patient Record System: the Case of a Rural Practice Initiative

    Directory of Open Access Journals (Sweden)

    Spyridon Klinis, Adelais Markaki, Dimitrios Kounalakis, Emmanouil K. Symvoulakis

    2012-01-01

    Full Text Available The objective of this brief communication was to tabulate common reasons for encounter in a Greek rural general practice, as result of a recently adopted electronic patient record (EPR application. Twenty encounter reasons accounted for 3,797 visits (61% of all patient encounters, whereas 565 other reasons accounted for the remaining 2,429 visits (39%. Number one reason for encounter was health maintenance or disease prevention seeking services, including screening examinations for malignancies, immunization and provision of medical opinion reports. Hypertension, lipid disorder and ischemic heart disease without angina were among the most common reasons for seeking care. A strengths/weaknesses/opportunities/threats (SWOT analysis on the key role of an EPR system in collecting data from rural and remote primary health care settings is also presented.

  3. Monitoring reasons for encounter via an electronic patient record system: the case of a rural practice initiative.

    Science.gov (United States)

    Klinis, Spyridon; Markaki, Adelais; Kounalakis, Dimitrios; Symvoulakis, Emmanouil K

    2012-01-01

    The objective of this brief communication was to tabulate common reasons for encounter in a Greek rural general practice, as result of a recently adopted electronic patient record (EPR) application. Twenty encounter reasons accounted for 3,797 visits (61% of all patient encounters), whereas 565 other reasons accounted for the remaining 2,429 visits (39%). Number one reason for encounter was health maintenance or disease prevention seeking services, including screening examinations for malignancies, immunization and provision of medical opinion reports. Hypertension, lipid disorder and ischemic heart disease without angina were among the most common reasons for seeking care. A strengths/weaknesses/opportunities/threats (SWOT) analysis on the key role of an EPR system in collecting data from rural and remote primary health care settings is also presented. PMID:23091407

  4. Nonstandard Reasoning

    NARCIS (Netherlands)

    J. van Benthem

    2015-01-01

    In this article, nonstandard reasoning refers to the proliferation of reasoning styles investigated in modern logic beyond its traditional agenda. After a brief statement of standard logical approaches to consequence, we describe motivations for new systems. These include not only inference patterns

  5. 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.

  6. 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...

  7. 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.

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

    International Nuclear Information System (INIS)

    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

  9. 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.

  10. 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.

  11. Construction of a Clinical Decision Support System for Undergoing Surgery Based on Domain Ontology and Rules Reasoning

    OpenAIRE

    Bau, Cho-Tsan; Chen, Rung-Ching; Huang, Chung-Yi

    2014-01-01

    Objective: To construct a clinical decision support system (CDSS) for undergoing surgery based on domain ontology and rules reasoning in the setting of hospitalized diabetic patients. Materials and Methods: The ontology was created with a modified ontology development method, including specification and conceptualization, formalization, implementation, and evaluation and maintenance. The Protégé–Web Ontology Language editor was used to implement the ontology. Embedded clinical knowle...

  12. Drawing-to-Learn: A Framework for Using Drawings to Promote Model-Based Reasoning in Biology

    OpenAIRE

    Quillin, Kim; Thomas, Stephen

    2015-01-01

    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-t...

  13. 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.

  14. 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.

  15. Coalition-based Planning of Military Operations: Adversarial Reasoning Algorithms in an Integrated Decision Aid

    OpenAIRE

    Ground, Larry; Kott, Alexander; Budd, Ray

    2016-01-01

    Use of knowledge-based planning tools can help alleviate the challenges of planning a complex operation by a coalition of diverse parties in an adversarial environment. We explore these challenges and potential contributions of knowledge-based tools using as an example the CADET system, a knowledge-based tool capable of producing automatically (or with human guidance) battle plans with realistic degree of detail and complexity. In ongoing experiments, it compared favorably with human planners...

  16. Information Quality Requirements Engineering: a Goal-based Modeling and Reasoning Approach

    OpenAIRE

    Gharib, Mohamad

    2015-01-01

    Information Quality (IQ) has been always a growing concern for most organizations, since they depend on information for managing their daily tasks, delivering their services to their costumers, making important decisions, etc., and relying on low-quality information may negatively influence their overall performance, or even disasters in the case of critical systems (e.g., air traffic management systems, healthcare systems, etc.). Although there exist several techniques for dealing with IQ r...

  17. 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…

  18. 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...

  19. 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.

  20. Reasons for Faith-Based Correctional Program Participation: An Examination of Motive Types

    Science.gov (United States)

    Kwon, Okyun; Camp, Scott D.; Daggett, Dawn M.; Klein-Saffran, Jody

    2010-01-01

    Although faith-based correctional programming has become increasingly popular in recent years, offenders' motivation to participate and the impact on prison adjustment have received little attention. Analyzing interview data of 83 participants of the Federal Bureau of Prison's faith-based correctional program, this study explored the different…

  1. The impact of egocentric vs. allocentric agency attributions on the neural bases of reasoning about social rules.

    Science.gov (United States)

    Canessa, Nicola; Pantaleo, Giuseppe; Crespi, Chiara; Gorini, Alessandra; Cappa, Stefano F

    2014-09-18

    We used the "standard" and "switched" social contract versions of the Wason Selection-task to investigate the neural bases of human reasoning about social rules. Both these versions typically elicit the deontically correct answer, i.e. the proper identification of the violations of a conditional obligation. Only in the standard version of the task, however, this response corresponds to the logically correct one. We took advantage of this differential adherence to logical vs. deontical accuracy to test the different predictions of logic rule-based vs. visuospatial accounts of inferential abilities in 14 participants who solved the standard and switched versions of the Selection-task during functional-Magnetic-Resonance-Imaging. Both versions activated the well known left fronto-parietal network of deductive reasoning. The standard version additionally recruited the medial parietal and right inferior parietal cortex, previously associated with mental imagery and with the adoption of egocentric vs. allocentric spatial reference frames. These results suggest that visuospatial processes encoding one's own subjective experience in social interactions may support and shape the interpretation of deductive arguments and/or the resulting inferences, thus contributing to elicit content effects in human reasoning. PMID:24928617

  2. 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...

  3. 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.

  4. 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.

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

    OpenAIRE

    A. S. L. Lindawati; M. J. R. Gaffikin

    2012-01-01

    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...

  6. Reasons for Student Attrition in Posgraduate Virtual Programs: Case Revision and Considerations from Educational and Relational Marketing for Retention Programs

    OpenAIRE

    Murcia Agudelo, Nubia Esther; Ramírez Angulo, Pedro Julián

    2015-01-01

    The Colombian government has focused on the education of its citizens. In line with this initiative, this paper aims at making a contribution from educational relationship marketing, to strengthen virtual methodology in the post- graduate level. A qualitative study with in- depth interviews until saturation level is used to ascertain the reasons that affect attrition and retention in the academic program. The factors with greater impact found were first, those programs related to academic ser...

  7. 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.

  8. 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...... a user inferred from user interactions with the eLeanrning systems is used to adapt o®ered learning resources and guide a learner through them. This keynote gives an overview about knowledge and rules taken into account in current adaptive eLearning prototypes when adapting learning instructions....... Adaptation is usually based on knowledge about learning esources and users. Rules are used for heuristics to match the learning resources with learners and infer adaptation decisions....

  9. 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 ...... into prescription patterns of statins. The method can be implemented for other drug categories and could be useful for studying trends in drug utilization, differential drug adherence, and cross-national comparisons......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...

  10. Reasoning About Information Flow Security of Separation Kernels with Channel-based Communication

    OpenAIRE

    Zhao, Yongwang; Sann, David; Zhang, Fuyuan; Liu, Yang

    2015-01-01

    Assurance of information flow security by formal methods is mandated in security certification of separation kernels. As an industrial standard for separation kernels, ARINC 653 has been complied with by mainstream separation kernels. Security of functionalities defined in ARINC 653 is thus very important for the development and certification of separation kernels. This paper presents the first effort to formally specify and verify separation kernels with ARINC 653 channel-based communication...

  11. Logical reasoning with diagrams

    CERN Document Server

    Allwein, Gerard

    1996-01-01

    PART A: Theoretical Issues. 1. Visual Information and Valid Reasoning, Jon Barwise and John Etchemendy. 2. Operational Constraints in Diagrammatic Reasoning, Atsushi Shimojima. 3. Diagrams and the Concept of Logical System, Jon Barwise and Eric Hammer. PART B: Case Studies. 4. Situation-Theoretic Account of Valid Reasoning with Venn Diagrams, Sun-Joo Shin. 5. Towards a Model Theory of Venn Diagrams, eric Hammer and Norman Danner. 6. Peircean Graphs for Propositional Logic, Eric Hammer. 7. A Diagrammatic Subsystem of Hilbert''s Geometry, Isabel Luengo. PART C: Heterogenous Systems. 8. Heterogenous Logic, Jon Barwise and John Etchemendy. 9. Toward the Rigorous Use of Diagrams in Reasoning about Hardware, Steven D. Johnson, Jon Barwise, and Gerard Allwein. 10. Exploiting the Potential of Diagrams in Guiding Hardware Reasoning, Kathi D. Fisler

  12. 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.

  13. 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…

  14. 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.

  15. 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.

  16. The South African Constitutional Court Experience: Reasoning Patterns Based on Foreign Law

    Directory of Open Access Journals (Sweden)

    Andrea Lollini

    2012-05-01

    Full Text Available This article aims to analyse the phenomenon of the diffusion of interpretive paradigms or argumentation models between constitutional courts. This phenomenon involves the importation of parameters - defined here as extra-systemic to a specific legal system - and the use of the comparative method in applying constitutional texts.The main subject of this study is the analysis of the first 11 years of South African constitutional jurisprudence, which is a convenient scenario since a constitutional provision enables the Constitutional Court to 'consider foreign law' when interpreting the Bill of Rights. In fact, this led to the wide use of foreign jurisprudence and legislation (from which were extracted argumentation models, patterns of balancing between principles and sometimes actual normative 'meanings': in other words, extra-systemic legal inferences. This article shows the existence of several patterns of legal argumentation based on foreign law which were developed by the South African Constitutional Court.

  17. 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.

  18. 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.

  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. 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.

  1. 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 ...

  2. High-level reasoning and base-rate use: do we need cue-competition to explain the inverse base-rate effect?

    Science.gov (United States)

    Juslin, P; Wennerholm, P; Winman, A

    2001-05-01

    Previous accounts of the inverse base-rate effect (D. L. Medin & S. M. Edelson, 1988) have revolved around the concept of cue-competition. In this article, the authors propose that high-level reasoning in the form of an eliminative inference mechanism may contribute to the effect. A quantitative implementation of this idea demonstrates that it has the power by itself to produce the pattern of base-rate effects in the Medin and Edelson (1988) design. Four predictions are derived that contradict the predictions by attention to distinctive input (ADIT; J. K. Kruschke, 1996), up to date the most successful account of the inverse base-rate effect. Results from 3 experiments disconfirm the predictions by ADIT and demonstrate the importance of high-level reasoning in designs of the Medin and Edelson kind. Implications for the interpretation of the inverse base-rate effect and the attention-shifting mechanisms presumed by ADIT are discussed. PMID:11394684

  3. 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. PMID:26522447

  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. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 基于本体的UML类图语义推理%ONTOLOGY-BASED SEMANTICS REASONING OF UML CLASS DIAGRAM

    Institute of Scientific and Technical Information of China (English)

    刘嘉; 童格明; 李明; 臧凤奎

    2011-01-01

    Unified modelling language (UML) is a semi -formal language, its semantics sector is described with natural language, which leads to the semantic inconformity in the process of modelling. The paper presents a formal method of UML class diagram based on detailed comparison of UML class diagram and ontology. Firstly we transform the UML class diagram to corresponding ontology; then we reason the transformed ontology according to the reasoning algorithm of Tableau provided by the ontology, and detect the inconformity in it so as to modify the UML class diagram, at the end we obtain the accurate UML class diagram.%统一建模语言(IJML)是一个半形式化的语言,其语义部分是采用自然语言描述的,使得它在建模过程中会产生语义不一致等问题.在详细比较UML类图与本体的基础上,提出了一种UML类图的形式化方法;首先将UML类图转换为相应的本体;然后根据本体提供的推理算法(Tableau)对转换得到的本体进行推理,检测其中的不一致性从而修改UML类图,最后达到精确UML类图.

  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. 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…

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

    OpenAIRE

    Jorge Bacca; Silvia Baldiris; Ramon Fabregat; Cecilia Avila

    2013-01-01

    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 th...

  13. Expressivity-aware tempo transformations of music performances using case based reasoning

    OpenAIRE

    Grachten, Maarten

    2006-01-01

    La recerca presentada en aquesta dissertació glossa sobre transformacions de tempo de gravacions monofòniques de saxo jazz preservant l'expressivitat musical. Es una contribució al processament d'audio basat en el contingut, un camp de recerca que ha emergit recentment com a resposta a la necessitat creixent de gestionar intel·ligentment la creixent quantitat d'informació digital multimedia disponible actualment. S'ha investigat com una execució musical, tocada a un tempo concret, es pot...

  14. Using Case-Based Reasoning to Improve the Quality of Feedback Provided by Automated Grading Systems

    Science.gov (United States)

    Kyrilov, Angelo; Noelle, David C.

    2014-01-01

    Information technology is now ubiquitous in higher education institutions worldwide. More than 85% of American universities use e-learning systems to supplement traditional classroom activities while some have started offering Massive Online Open Courses (MOOCs), which are completely online. An obvious benefit of these online tools is their…

  15. Development of a process selection method for gold ores using case-based reasoning

    OpenAIRE

    Rintala, Lotta

    2015-01-01

    The ore grade, the geometry of an orebody as well as the mineralogical properties of the ore determine process selection for gold extraction. These factors have an effect on the metallurgical response of an ore to a proposed treatment scheme. The uniqueness of each ore deposit is the main challenge in the extraction process development for any ore. The mineralogical mode of occurrence of gold, gold grain size distribution, host and gangue mineral type, mineral associations and alterations all...

  16. Using Case Based Reasoning and principled negotiation to provide decision support for dispute resolution

    OpenAIRE

    Carneiro, Davide Rua; Novais, Paulo; Andrade, Francisco Carneiro Pacheco; Zeleznikow, John; Neves, José

    2013-01-01

    The growing use of Information Technology in the commercial arena leads to an urgent need to find alternatives to traditional dispute resolution. New tools from fields such as Artificial Intelligence should be considered in the process of developing novel Online Dispute Resolution platforms, in order to make the ligation process simpler, faster and conform with the new virtual environments. In this work, we describe UMCourt, a project built around two sub-fields of Artificial Intelligence res...

  17. Enhancement of spatial-temporal reasoning after a Mozart listening condition in Alzheimer's disease: a case study.

    Science.gov (United States)

    Johnson, J K; Cotman, C W; Tasaki, C S; Shaw, G L

    1998-12-01

    Several recent studies have investigated the effectiveness of various behavioral interventions on the cognitive performance of subjects with Alzheimer's disease (AD). Simulations of Shaw's structured model of the cortex led to the predictions that music might enhance spatial-temporal reasoning. A subsequent behavioral study in college students documented an improvement in scores on a spatial-temporal task after listening to a Mozart piano sonata. In this study, we investigated the enhancement of scores on a spatial-temporal task after a Mozart listening condition in a set of twins who are discordant for AD. After listening to an excerpt from a Mozart piano sonata, the AD twin showed considerable improvement on the spatial-temporal task when compared with pretest scores. Furthermore, no enhancement of scores was seen following either of the control conditions (i.e., silence or 1930s popular tunes). This finding suggests that music may be used as a tool to investigate functional plasticity in Alzheimer's disease and to better understand the underlying pathophysiology. PMID:9864729

  18. Reasons for Smoking Among Male Teenagers in Tehran, Iran: Two Case-Control Studies Using Snowball Sampling

    OpenAIRE

    Fatemeh Rezaei; Saharnaz Nedjat; Banafsheh Golestan; Reza Majdzadeh

    2011-01-01

    Objectives: Identifying the underlying factors contributing to smoking among teenagers is important in establishing smoking control programs. The present study was designed to identify and compare factors revealed in a preceding qualitative study conducted on 13-15 year-old boys living in two different socio-economic districts in the Northern and Southern parts of Tehran. Methods: Two completely similar case-control studies, each with 200 subjects, were conducted using a snowball sampling....

  19. Software Architecture Design Reasoning

    Science.gov (United States)

    Tang, Antony; van Vliet, Hans

    Despite recent advancements in software architecture knowledge management and design rationale modeling, industrial practice is behind in adopting these methods. The lack of empirical proofs and the lack of a practical process that can be easily incorporated by practitioners are some of the hindrance for adoptions. In particular, the process to support systematic design reasoning is not available. To rectify this issue, we propose a design reasoning process to help architects cope with an architectural design environment where design concerns are cross-cutting and diversified.We use an industrial case study to validate that the design reasoning process can help improve the quality of software architecture design. The results have indicated that associating design concerns and identifying design options are important steps in design reasoning.

  20. 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.

  1. 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

  2. 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. PMID:24819664

  3. Reasons for the transition of the processing trade industry from OEM to OBM: : Case Study: Hangzhou Alpha Imp & Exp Co., Ltd

    OpenAIRE

    Chen, Jie

    2007-01-01

    The purpose of this thesis was to explore the Reasons for the transition of the processing trade indus-try from OEM to OBM. The study was commissioned by Sandy Chen who is the manager of the case company is Hangzhou Alpha Imp & Exp Co., Ltd. The theoretical part of the study consists of litera-ture on strategic marketing management, brand management and value chain; most of data, informa-tion were collected in related records, news, reports, thesis, article and webpage. The study was co...

  4. 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.…

  5. 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

  6. 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...

  7. 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.

  8. 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.

  9. Case studies in outcome-based education.

    Science.gov (United States)

    Davis, Margery H; Amin, Zubair; Grande, Joseph P; O'Neill, Angela E; Pawlina, Wojciech; Viggiano, Thomas R; Zuberi, Rukhsana

    2007-09-01

    Outcome-based education is one of the most significant global developments in medical education in recent years. This paper presents four case studies of outcome-based education from medical schools in different parts of the world; Scotland; USA; Pakistan; and Singapore. The outcome-based curricula have either been in place for some time, are evolving or are at the planning proposal stage. The outcomes, change process and implementation of the outcome-based approach are described. Variation in the extent to which each medical school has implemented outcome-based education is discussed and key points for successful implementation are highlighted. This paper is based on the pre-conference symposium "outcome-based curricula: global perspectives" presented by the authors at the 4th Asia Pacific Medical Education Conference (APMEC) in Singapore, 8-11 February, 2007. PMID:18236260

  10. 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.

  11. 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.

  12. COMBINING DECISION TREES AND K-NN FOR CASE-BASED PLANNING

    Directory of Open Access Journals (Sweden)

    Sofia Benbelkacem

    2014-11-01

    Full Text Available In everyday life, we are often faced with similar problems which we resolve with our experience. Case-based reasoning is a paradigm of problem solving based on past experience. Thus, case-based reasoning is considered as a valuable technique for the implementation of various tasks involving solving planning problem. Planning is considered as a decision support process designed to provide resources and required services to achieve specific objectives, allowing the selection of a better solution among several alternatives. However, we propose to exploit decision trees and k-NN combination to choose the most appropriate solutions. In a previous work [1], we have proposed a new planning approach guided by case-based reasoning and decision tree, called DTR, for case retrieval. In this paper, we use a classifier combination for similarity calculation in order to select the best solution to the target case. Thus, the use of the decision trees and k-NN combination allows improving the relevance of results and finding the most relevant cases.

  13. How do women who choose not to participate in population-based cervical cancer screening reason about their decision?

    Science.gov (United States)

    Blomberg, Karin; Ternestedt, Britt-Marie; Törnberg, Sven; Tishelman, Carol

    2008-06-01

    In Stockholm, Sweden, women are invited to a cost-free population-based cervical cancer screening programme (PCCSP) at regular intervals. Despite this, many women choose not to attend screening at all or to take opportunistic tests instead. This study explores how women who actively declined participation in the PCCSP reasoned about their choice. Qualitative telephone interviews and fax messages from women who actively declined participation in the PCCSP were analysed inductively. The manner in which women defined and conceptualized distinctions between, and the roles and responsibilities of, both private and public spheres were found to be central in explanations of decision making. Factors related to women's decisions not to participate in screening at all include a lack of confidence in the benefits of screening, previous negative health care and preventive experiences, a belief in one's own ability to discern health changes or a belief that one was not at risk for cervical cancer, as well as a number of unconventional standpoints on social and political issues. Women who chose not to participate in the organized PCCSP, but who did use private opportunistic screening, generally motivated this with direct or indirect criticism of the screening programme itself. Not only was the examination itself sensitive but also all facets of the PCCSP, from invitation letter on, were found to influence women's decisions. Using Jepson et al.'s ethical framework to peruse the evidence-base underlying women's 'informed decision-making' about CCS is suggested to be more constructive than discussing potential participants' knowledge versus lack of knowledge. PMID:17886262

  14. 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.

  15. 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.

  16. 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-Learning...... they are applied in workplace related and e-learning contexts. In addition to the organizers, a small number of invited presenters will attend, giving demonstrations of their work within learn-by-doing simulation and cases-based learning, but still leaving ample of time for discussion among all participants....... in the Workplace). The purpose of this paper is to describe the two online learning methodologies and to raise questions for future discussion. In the workshop, the organizers and participants work with and discuss differences and similarities within the two pedagogical methodologies, focusing on how...

  17. 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.

  18. Reasons for False-Negative and False-Positive Diagnosis in Fine Needle Aspiration Cytology of the Breast: 286 Cases with Cyto-Histopathologic Correlation

    Directory of Open Access Journals (Sweden)

    Nilüfer Onak KANDEMİR

    2010-09-01

    Full Text Available Objective: Fine needle aspiration cytology is the first step in the diagnosing breast lesions. This study evaluated factors causing falsenegative and false-positive diagnoses when evaluating breast lesions using this technique.Material and Method: In this study, we retrospectively examined 511 breast diagnoses, based on Fine needle aspiration cytology specimens, made in the Medical School of Zonguldak Karaelmas University, Department of Pathology, between 2002 and 2009. Factors affecting the reliability of fine needle aspiration cytology were evaluated by comparing the cytological and biopsy diagnoses and using the clinical parameters in the diagnosis of breast lesions.Result: In our series, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of fine needle aspiration cytology were 77%, 99%, 95%, 93%, and 95%, respectively. The falsenegative diagnosis rate was 4% and the false-positive diagnosis rate was 1%.Conclusion: Sampling errors and erroneous interpretation of cellular monomorphism are the most important reasons for false-negative diagnosis results in the evaluation of breast lesions with fine needle aspiration cytology. Increased cellularity and reactive cell atypia in benign proliferative breast lesions are the most frequent reasons for false-positive diagnosis.

  19. 525例药物流产出血过多原因分析%Analysis the reason of 525 cases of excessive bleeding caused by drug Abortion

    Institute of Scientific and Technical Information of China (English)

    金月英; 杨淑萍

    2013-01-01

    目的:探讨米非司酮配伍米索前列醇终止早期妊娠致阴道出血过多的原因及防治。方法:分析2008年9月至2011年12月46例药物流产后出血量>100ml者出血原因。结果:药物流产阴道出血过多与孕龄、胚胎组织排出时间及组织残留情况存在密切关系,与孕妇年龄无关。结论:药物流产后出血时间长及阴道出血过多是药物流产的最大缺点。预防的措施是严格掌握门诊药物流产指征,适时清宫,预防感染。%Objective To explore the reasons and Prevention and control measures of mifepristion and misoprostol to terminatc early pregnancy excessive vaginal bleeding. Methods The reason of bleeding in 46 cases whose bleeding volume were more than 100 ml caused by drug abortion from September 2008 to December 2011 was analyzed. Results Abortion drug caused excessive vaginal bleeding was related to gestational age,embryo tissue residue from time,had nothing to do with maternal age. Conclusion The most critical shortcoming of drug abortion is the long time and excessive vaginal bleeding,which comes after using drugs. The measurement is that,controling the outpatient drug abortion standard strictly,curettage timely,and preventing infection.

  20. 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.

  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...... is specifically Christian and yet maintains a universality. With a focus on Bonhoeffer’s »Ethik« as the hermeneutical key to his theology, Bonhoeffer’s notion is also discussed in the light of contemporary Christian ethics. In this part it is particularly the role of reason within a public dis-course which...

  2. 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.

  3. 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…

  4. 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.

  5. Several Forms of Fuzzy Analogical Reasoning

    OpenAIRE

    Bouchon-Meunier, B; Delechamp, J.; Marsala, C.; Rifqi, M.

    1997-01-01

    We present a general framework representing analogy, on the basis of a link between variables and measures of comparison between values of variables. This analogical scheme is proven to represent a common description of several forms of reasoning used in fuzzy control or in the management of knowledge-based systems, such as deductive reasoning, inductive reasoning or prototypical reasoning, gradual reasoning.

  6. 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......, 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...... is stored and made accessible when relevant to the reasoning context and the specific patient case. Furthermore, the information structure supports the creation of new generalized knowledge using data mining tools. The patient case is divided into an observation level and an opinion level. At the opinion...

  7. 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.…

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

    OpenAIRE

    Mohamad Mahdi Hazavehei; Samane Shirahmadi*; Ghodratollah Roshanaei; Mohamad kazem- zade; Mohamad Mahdi majzubi

    2013-01-01

    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 hund...

  9. 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.

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

    OpenAIRE

    Juan Miguel Rosa González; Miguel Eduardo Moreno Añez; Hilka Vier Machado

    2011-01-01

    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 i...

  11. 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.

  12. The Case Method: Using Case Based Instruction To Increase Ethical Understanding In Engineering Courses

    OpenAIRE

    Barry, Brock; Yadav, Aman

    2007-01-01

    The case method: Using case-based instruction to increase ethical understanding in engineering courses Introduction The paper presents a discussion of how case-based instruction is performed and the perceived benefits of its application. We begin with a brief discussion of the historical background of case- based instruction and then discuss the use of case methodologies within various educational contexts. Connections are then made to its use in general ethics instruction, as well as spec...

  13. 老年人根管治疗失败30例原因分析%Reason Analysis of 30 Cases of Root Canal Treat Ment Failure in the Edlerly

    Institute of Scientific and Technical Information of China (English)

    张颖

    2014-01-01

    Objective To improve root canal treatment for the elderly by analyzing reasons for the unsuccessful cases.Method Analyzing symptoms,physical signs and accessory examination based on 30 unsuccessful cases of root canal treatment for the elderly in the hospital from 2010~2013.Result 3 cases of loose defective teeth III°,12 cases of defective teeth with crown fractures,root fractures and restoration falling,4 cases of recurrent caries,7cases of lack of filling of root canal,1 case of vertical root fractures,1 case of root canal instrument fracture,2 cases of missed root canal.Conclusion Unsuccessful root canal treatment for the elderly is attributed to physical conditions of patients,aging changes of medullary cavity and root canals,changes in periodontal tissue and a disorder of occluding relation.%目的:探讨老年人根管治疗失败的原因,使老年人根管治疗的成功率有所提高。方法收集2010~2013年我院接诊的根管治疗失败的老年患者30例,根据患者症状、体征、X线检查分析判断导致治疗失败的原因。结果患牙III°松动3例,冠折、根折、充填物脱落12例,继发龋4例,根管欠填7例,牙根纵裂1例,根管内器械折断1例,遗漏根管2例。结论老年人根管治疗失败的主要原因为患者自身因素的影响、牙周组织的改变、髓腔及根管增龄性变化、咬合关系紊乱等。

  14. Theoretical Approach Regarding the Bases of Success and Reasons that May Lead to Failure in Project Management

    OpenAIRE

    Larisa Loredana Dragolea; Denisa Cotîrlea Denisa

    2012-01-01

    The present paper work deals with theoretical concepts regarding the reasons that may lead to a project’s failure or success. The primary aim of the work paper is to help readers to get a view of conceptualizations of project management and its phases, while providing an opportunity to see the interferences of factors that may determine project’s success. This work paper also contains some aspects regarding key-factors and elements that may assure a good management of projects. The present su...

  15. Defeasibility in Legal Reasoning

    OpenAIRE

    Sartor, Giovanni

    2009-01-01

    I shall first introduce the idea of reasoning, and of defeasible reasoning in particular. I shall then argue that cognitive agents need to engage in defeasible reasoning for coping with a complex and changing environment. Consequently, defeasibility is needed in practical reasoning, and in particular in legal reasoning

  16. Intelligent Design of Vehicle Package Using Ontology and Casebased Reasoning

    Science.gov (United States)

    Jin, Xiaoping; Mao, Enrong; Cheng, Bo

    The similarity of varied vehicle package is a critical design feature that affects method selection, optimized design and driver performance. However there is limited understanding of what constitutes similarity in package design and limited computer-based support to identify this feature in a layout model. This paper contributes a case-based framework for representing and reasoning about layout similarity that builds on domain-specific ontological modeling and case-based reasoning techniques. Validation study of the system provides evidence that the framework is general and enables a more efficient package layout design process.

  17. 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.

  18. 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…

  19. 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.

  20. 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.

  1. An Implementation of BDI Model Based on Rule Reasoning%一种基于规则推理的BDI模型实现

    Institute of Scientific and Technical Information of China (English)

    唐文彬; 朱淼良

    2003-01-01

    The common idea is to consider agents whose mental state comprises the three attitudes of belief、desire andintention. The relationships among these entities have received considerable attention. There still remains a large gapbetween theory and practice. In this paper, the authors implement a BDI agent system based on rule reasoning andshow the procedure of planning. The experiment shows the system can handle application problem.

  2. 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

    OpenAIRE

    Ali Khan-Jeihooni; Fatemeh Shahidi; Seyed Mansour Kashfi

    2014-01-01

    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...

  3. Theory of reasoned action and theory of planned behavior-based dietary interventions in adolescents and young adults: a systematic review

    OpenAIRE

    Hackman CL; Knowlden AP

    2014-01-01

    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 interven...

  4. 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。

  5. 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.

  6. 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.

  7. 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.

  8. 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

  9. 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

  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. 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

  12. Stereotypical Reasoning: Logical Properties

    OpenAIRE

    Lehmann, Daniel

    2002-01-01

    Stereotypical reasoning assumes that the situation at hand is one of a kind and that it enjoys the properties generally associated with that kind of situation. It is one of the most basic forms of nonmonotonic reasoning. A formal model for stereotypical reasoning is proposed and the logical properties of this form of reasoning are studied. Stereotypical reasoning is shown to be cumulative under weak assumptions.

  13. 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

    inhibitors incorporating NBPT suggest that these formulations represent a reasonable available control technology for use in agriculture to reduce ammonia emissions.

  14. A Method of Case Retrieval for Web-based Remote Customization Platform

    Directory of Open Access Journals (Sweden)

    Yuhuai Wang

    2014-04-01

    Full Text Available A web-based remote customization platform is developed for hardware product in this paper. To realize the rapid product customization, a case-based reasoning approach based on fuzzy set is put forward. To retrieve the most similar case from the case base, a parabola membership function is constructed based on the fuzzy set, and synthesis weights are introduced by combining subjective weights with objective weights which are calculated based on the deviation information of similarity. Then the model for solving cases' global similarity is set up based on synthesis weights. To improve the accuracy of the similarity measurement, center distance revision method based on area is presented for the Bi-interval type which is one of fuzzy numeric attribute. Implementation example applying above methods is given in the area of electric drill customization. Results show that the presented approach helps to improve the accuracy of the similarity of the case product, and reduce the time and cost of product design process

  15. 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.

  16. 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.

  17. 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.

  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. 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’.

  20. 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. PMID:23270120

  1. 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…

  2. Research on the expert system reasoning model based on Agent%基于Agent的专家系统推理模型

    Institute of Scientific and Technical Information of China (English)

    陶倩; 马刚; 史忠植

    2013-01-01

      针对传统专家系统推理模型结构在知识获取方面适应性差的现状,从系统科学的视角,运用复杂适应系统理论,对传统专家系统的结构及运行机制进行了改进。引入 Agent 来模拟人脑中的神经元,用来承载专家系统中相互作用的知识,然后,基于 Multi-Agent 之间的相互作用来构建复杂适应的专家系统推理模型。从而,将专家系统中的知识获取机制、知识库、推理机三者统一于由 Multi-Agent 进行相互作用的复杂适应系统之中。通过设计体育赛事申办决策专家系统的原型,进行了专家系统推理模型的验证。原型运行结果表明:基于 Multi-Agent 的专家系统推理模型结构能够有效地提高专家系统知识获取的适应性。这为研究更加接近人脑智能的专家系统提供了崭新的研究思路。%The traditional expert system reasoning model structure has poor adaptability in acquiring knowledge . From the viewpoint of system science, the complex adaptive system theory is used to improve the structure and oper -ation mechanism of a traditional expert system .Firstly, an Agent was introduced to simulate neurons in the human brain and load the knowledge interacting in the expert system reasoning model .Then an expert system reasoning model of complex adaptation was constructed based on the Multi -Agent interaction.Consequently, the knowledge acquiring mechanism, knowledge base and reasoning engine were unified into the Agents interaction in the complex adaptive expert system.Finally, by designing the expert system reasoning model prototype in decision -making of in-ternational sporting events bidding , the effectiveness of the expert system reasoning model based on Agent was veri -fied.The results of the prototype running show that the expert system reasoning structure based on Multi -Agent model can effectively improve the adaptability of expert system knowledge acquisition .That

  3. Reasoning with Organization Goals Based on Evidence Theory%基于证据理论的企业目标推理

    Institute of Scientific and Technical Information of China (English)

    高俊涛; 文必龙

    2012-01-01

    Evidence Theory used in calculating the uncertain metrics of the uncertain events is developed based on probability theory. And the organization goals describe the future states of an enterprise during some time so that the possibility of one goal satisfied is evaluated with some uncertainty which is accorded with the uncertain evaluating method in evidence theory. In this article, evidence theory is employed to formulate the organization goals and to define a reasoning method with goals. With goal model built reasoning is done according to the automatic reasoning algorithm in which only uncertain metric of some goals is needed.%目标建模是早期信息系统需求分析的关键技术.针对企业高层目标难以评估的问题,提出一种企业目标量化建模方法,以证据理论作为逻辑基础,对企业目标可满足性进行定量表征,借助Dempster证据合成法则,设计多目标贡献关系合算法,通过实验验证方法的有效性.

  4. Thanatophoric dysplasia: case-based bioethical analysis

    OpenAIRE

    Edgar Abarca López; Alejandra Rodríguez Torres; Donovan Casas Patiño; Esteban Espíndola Benítez

    2014-01-01

    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.

  5. 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.

  6. Behavioral and Neural Effects of Reasoning Training

    OpenAIRE

    Mackey, Allyson

    2012-01-01

    My thesis research has focused broadly on how the environment shapes the structure and function of prefrontal cortex, for better or worse. I am interested in understanding in how experience-dependent plasticity can be harnessed to boost, or in some cases, remediate prefrontal function. I focused on training reasoning, the ability to solve novel problems, for two reasons: 1) reasoning is highly predictive of academic outcomes, and 2) reasoning was originally conceptualized as a fixed trait, an...

  7. 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.

  8. Identification of ultrafast relaxation processes as a major reason for inefficient exciton diffusion in perylene-based organic semiconductors.

    Science.gov (United States)

    Settels, Volker; Schubert, Alexander; Tafipolski, Maxim; Liu, Wenlan; Stehr, Vera; Topczak, Anna K; Pflaum, Jens; Deibel, Carsten; Fink, Reinhold F; Engel, Volker; Engels, Bernd

    2014-07-01

    The exciton diffusion length (LD) is a key parameter for the efficiency of organic optoelectronic devices. Its limitation to the nm length scale causes the need of complex bulk-heterojunction solar cells incorporating difficulties in long-term stability and reproducibility. A comprehensive model providing an atomistic understanding of processes that limit exciton trasport is therefore highly desirable and will be proposed here for perylene-based materials. Our model is based on simulations with a hybrid approach which combines high-level ab initio computations for the part of the system directly involved in the described processes with a force field to include environmental effects. The adequacy of the model is shown by detailed comparison with available experimental results. The model indicates that the short exciton diffusion lengths of α-perylene tetracarboxylicdianhydride (PTCDA) are due to ultrafast relaxation processes of the optical excitation via intermolecular motions leading to a state from which further exciton diffusion is hampered. As the efficiency of this mechanism depends strongly on molecular arrangement and environment, the model explains the strong dependence of LD on the morphology of the materials, for example, the differences between α-PTCDA and diindenoperylene. Our findings indicate how relaxation processes can be diminished in perylene-based materials. This model can be generalized to other organic compounds. PMID:24909402

  9. 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.

  10. Reasons and Resentment

    OpenAIRE

    Coates, Daniel Justin

    2012-01-01

    In this dissertation I develop a theory of practical reasons as such, and then I extend that theory to specifically moral reasons. According to the theory of practical reasons that I develop in Part I, the existence and weight of an agent's reason to act in a particular way depends on an agent's motivational states--specifically those motivational states issuing from practical orientations that play some role in structuring the agent's practical identity. I then argue that this account of p...

  11. 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. PMID:25416026

  12. 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....

  13. Broome on reasoning

    OpenAIRE

    McHugh, Conor; Way, Jonathan

    2014-01-01

    Among the many important contributions of John Broome’s Rationality Through Reasoning is an account of what reasoning is and what makes reasoning correct. In this paper we raise some problems for both of these accounts and recommend an alternative approach.

  14. Causal reasoning with mental models

    OpenAIRE

    Khemlani, Sangeet S.; Barbey, Aron K.; Johnson-Laird, Philip N

    2014-01-01

    This paper outlines the model-based theory of causal reasoning. It postulates that the core meanings of causal assertions are deterministic and refer to temporally-ordered sets of possibilities: A causes B to occur means that given A, B occurs, whereas A enables B to occur means that given A, it is possible for B to occur. The paper shows how mental models represent such assertions, and how these models underlie deductive, inductive, and abductive reasoning yielding explanations. It reviews e...

  15. Uncertainty reasoning in expert systems

    Science.gov (United States)

    Kreinovich, Vladik

    1993-01-01

    Intelligent control is a very successful way to transform the expert's knowledge of the type 'if the velocity is big and the distance from the object is small, hit the brakes and decelerate as fast as possible' into an actual control. To apply this transformation, one must choose appropriate methods for reasoning with uncertainty, i.e., one must: (1) choose the representation for words like 'small', 'big'; (2) choose operations corresponding to 'and' and 'or'; (3) choose a method that transforms the resulting uncertain control recommendations into a precise control strategy. The wrong choice can drastically affect the quality of the resulting control, so the problem of choosing the right procedure is very important. From a mathematical viewpoint these choice problems correspond to non-linear optimization and are therefore extremely difficult. In this project, a new mathematical formalism (based on group theory) is developed that allows us to solve the problem of optimal choice and thus: (1) explain why the existing choices are really the best (in some situations); (2) explain a rather mysterious fact that fuzzy control (i.e., control based on the experts' knowledge) is often better than the control by these same experts; and (3) give choice recommendations for the cases when traditional choices do not work.

  16. 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…

  17. 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....

  18. 基于灰色理论的故障诊断本体建模与推理磁%Ontology Modeling and Reasoning for Fault Diagnosis Based on Grey Theory

    Institute of Scientific and Technical Information of China (English)

    孙文舟; 岳冬梅; 石晨光; 彭亮

    2015-01-01

    针对故障诊断领域知识异构和故障机理复杂的问题,提出基于灰色理论的本体模型。利用SWRL规则和推理引擎在本体模型中实现灰色关联度的表达及其联接故障现象和故障原因的作用。在基于灰色理论的故障诊断本体推理机制框架下,建立了液压系统的故障诊断灰色本体模型。实例验证,该方法诊断效果良好。%Against the main problem of semantic heterogeneity and complicated fault mechanism ,ontology model for fault diagnosis based on grey theory is mentioned .By means of SWRL rules and inference engine ,the representation of grey correlation implement the connection between fault phenomenon and fault reason in the ontology model .In the framework of ontology reasoning mechanism for fault diagnosis based on grey theory ,an ontology model for hydraulic system is built .The case study show s that result is satisfied .

  19. 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.

  20. Evolving Uses of Technology in Case-Based Teacher Education.

    Science.gov (United States)

    Smith, Janet C.; Diaz, Ricardo

    Case study-based teacher education has been advocated since the mid-1980s. The evolution of technology-facilitated, case study-based professional development for adult education professionals may be traced by examining three projects involving the National Center on Adult Literacy and the International Literacy Institute at University of…

  1. 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.

  2. 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

  3. Case Studies for Contract-based Systems

    OpenAIRE

    Jakob, Michal; Pěchouček, Michal; Chábera, Jiří; Miles, Simon; Luck, Michael; Oren, Nir; Kollingbaum, Martin; Holt, Camden; Vazquez, Javier; Storms, Patrick; Dehn, Martin

    2008-01-01

    Of the ways in which agent behaviour can be regulated in a multi-agent system, electronic contracting - based on explicit representation of different parties' responsibilities, and the agreement of all parties to them - has significant potential for modern industrial applications. Based on this assumption, the CONTRACT project aims to develop and apply electronic contracting and contract-based monitoring and verification techniques in real world applications. This paper presents results from ...

  4. 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.

  5. 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. PMID:25397942

  6. Reasoning within Fuzzy Description Logics

    CERN Document Server

    Straccia, U

    2011-01-01

    Description Logics (DLs) are suitable, well-known, logics for managing structured knowledge. They allow reasoning about individuals and well defined concepts, i.e., set of individuals with common properties. The experience in using DLs in applications has shown that in many cases we would like to extend their capabilities. In particular, their use in the context of Multimedia Information Retrieval (MIR) leads to the convincement that such DLs should allow the treatment of the inherent imprecision in multimedia object content representation and retrieval. In this paper we will present a fuzzy extension of ALC, combining Zadeh's fuzzy logic with a classical DL. In particular, concepts becomes fuzzy and, thus, reasoning about imprecise concepts is supported. We will define its syntax, its semantics, describe its properties and present a constraint propagation calculus for reasoning in it.

  7. Reasoning with conditionals

    OpenAIRE

    Politzer, Guy

    2007-01-01

    This paper reviews the psychological investigation of reasoning with conditionals, putting an emphasis on recent work. In the first part, a few methodological remarks are presented. In the second part, the main theories of deductive reasoning (mental rules, mental models, and the probabilistic approach) are considered in turn; their content is summarised and the semantics they assume for if and the way they explain formal conditional reasoning are discussed, in particular in the light of expe...

  8. 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.

  9. 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.

  10. 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.

  11. 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

  12. Research on Integrated Case-based Reasoning System%集成范例推理系统的研究

    Institute of Scientific and Technical Information of China (English)

    倪志伟; Yun Yang; 杨善林; 何建民

    2004-01-01

    首先研究了与范例推理相集成的多种技术,并着重研究了基于范例推理和规则推理的集成方法,以及基于范例推理和归纳技术的集成方法,以此来充分利用范例推理、规则推理和归纳学习技术的各自优势,提高智能系统求解问题的能力.

  13. 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。

  14. Logistics case study based research: Towards higher quality

    DEFF Research Database (Denmark)

    Pedrosa, Alex; Näslund, Dag; Jasmand, Claudia

    2012-01-01

    analysis of 134 case study based articles published in six leading logistics and supply chain management (SCM) journals between 1998 and 2010 is used to assess and evaluate the quality of the case study based research approach as documented in these publications. Findings – This research provides...... to address to ensure high quality of the case study based research approach in published articles. Research limitations/implications – This study is limited to the analysis of published articles in six logistics and SCM journals. Further research should investigate different journals in logistics and other...

  15. 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.

  16. 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.

  17. 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…

  18. 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.

  19. Prioritizing Test Cases in Regression Testing using Fault Based Analysis

    Directory of Open Access Journals (Sweden)

    Ashima Singh

    2012-11-01

    Full Text Available Testing is an integral part of any software development lifecycle. It takes considerable amount of time and capital to generate test cases and apply testing. Genetic Algorithms are proving to be great tool in optimizing software testing. This paper uses the concept of Genetic algorithms in optimizing software testing. In this paper, we have analysed genetic algorithms and studied their effectiveness to find the faults and time overhead-based criteria to -prioritize test cases. The proposed approach is providing the solution of test cases sequencing as well as reduction by using an intelligent dynamic approach. The proposed system will generate the test cases based on the priorities, which are assigned by the algorithm to test cases on the basis of some intelligent operations. A cumulative mutation probability (CMP metric is used to determine the effectiveness of the new test case orderings

  20. 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…

  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. Deductive reasoning from uncertain conditionals

    OpenAIRE

    Politzer, Guy; Bourmaud, Gaëtan

    2002-01-01

    This paper begins with a review of the literature on plausible reasoning with deductive arguments containing a conditional premise. There is concurring evidence that people presented with valid conditional arguments such as Modus Ponens and Modus Tollens generally do not endorse the conclusion, but rather find it uncertain, in case (i) the plausibility of the major conditional premise is debatable, (ii) the major conditional premise is formulated in frequentist or probabilistic terms, or (iii...

  4. 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)

  5. 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…

  6. Recognizing Students' Scientific Reasoning: A Tool for Categorizing Complexity of Reasoning During Teaching by Inquiry

    OpenAIRE

    Dolan, Erin; Grady, Julia

    2010-01-01

    Teaching by inquiry is touted for its potential to encourage students to reason scientifically. Yet, even when inquiry teaching is practiced, complexity of students' reasoning may be limited or unbalanced. We describe an analytic tool for recognizing when students are engaged in complex reasoning during inquiry teaching. Using classrooms that represented “best case scenarios” for inquiry teaching, we adapted and applied a matrix to categorize the complexity of students' reasoning. Our results...

  7. 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.

  8. Of Artificial Intelligence and Legal Reasoning

    OpenAIRE

    Sunstein, Cass Robert

    2014-01-01

    Can computers, or artificial intelligence, reason by analogy? This essay urges that they cannot, because they are unable to engage in the crucial task of identifying the normative principle that links or separates cases. Current claims, about the ability of artificial intelligence to reason analogically, rest on an inadequate picture of what legal reasoning actually is. For the most part, artificial intelligence now operates as a kind of advanced version of LEXIS, offering research assistance...

  9. 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…

  10. 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

  11. MODEL OF CASE-BASED NEURAL NETWORK%基于范例的神经网络模型

    Institute of Scientific and Technical Information of China (English)

    艾景军; 李俊生

    2004-01-01

    In order to improve generalization capability of neural networks, a model structure of Case-Based neural networks has been presented. The model blended Case-Based Reasoning method into neural networks and has the ability of incrementally learning. The results demonstrated that the model could observably improve the generalization capability of supervised neural networks. Firstly, paper summarized the advancing front of researching on generalization capability of neural networks.Secondly, the structure of CBNN and its process of working were introduced. Finally, the results of experiments were compared and discussed.

  12. CONSPIRATORIAL REASONING AND ECONOMICS

    Directory of Open Access Journals (Sweden)

    Madalina CALANCE

    2014-12-01

    Full Text Available The unintelligibility of the social and economic phenomena is due to isolation from the various backgrounds that has driven and maintained them. The conspiratorial reasoning insists over those backgrounds and focuses on identifying the intentionality in the primary cause. Throughout history, global economic relations have been ordered by private goals, which often subordinated to the desire for wealth or power; the market and the natural order had been oppressed by the state interventionism and by the will of some political powerful groups. In this context, we believe that the conspiratorial reasoning can be an instrument of the economic analysis, by pointing the specific political and economic interests that rule over the apparent hazard of interests. This paper aims to illustrate the peculiarities of the conspiratorial reasoning, as an alternative, beneficial reasoning, which can guide us to the answers we need in a world of paradoxes and coincidences.

  13. ATB基层的合理模量和厚度范围研究%Research on Reasonable Modulus and Thickness Range of ATB Base Course

    Institute of Scientific and Technical Information of China (English)

    赵晓玲

    2012-01-01

    采用Bisar3.0程序对设置ATB柔性基层的沥青路面结构进行力学响应分析,分析各结构层层底最大拉应力随ATB层厚度和模量的变化趋势。结果表明,上面层、下面层和基层的层底最大拉应力随ATB模量和厚度的增大而增大;中面层的层底最大拉应力随ATB层厚度的增大、模量的降低而增大;底基层的层底最大拉应力随ATB模量和厚度的增大而减小;根据各结构层层底最大拉应力的分析结果和2100万交通轴载作用寿命下的要求,综合推荐ATB层的合理厚度范围为6~14cm、合理模量范围为1000~1400MPa。%Mechanical response analysis is conducted on the structure of asphalt pavement with ATB flexible base course with Bisar3.0. The change trend of maximum tensile stress of each structure layer bottom along with the thickness and modulus of ATB layer is analyzed. The result shows that the maximum tensile stress of bottom of up- per surface, lower surface and base course increases with the increase of modulus and thickness of ATB ; the maxi- mum tensile stress of bottom of middle surface increases with the increase of thickness and decrease of modulus of ATB ; the maximum tensile stress of bottom of subbase course decreases with the increase of modulus and thickness of ATB ; According to the analysis result on the maximum tensile stress of bottom of each structure layer and re- quirements for service life under 21,000,000 traffic axial load, the reasonable thickness range is comprehensively recommended to be 6cm N 14cm and reasonable modulus range to be 1000MPa - 1400MPa for ATB base course.

  14. 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

  15. The psychology of moral reasoning

    Directory of Open Access Journals (Sweden)

    Monica Bucciarelli

    2008-02-01

    Full Text Available This article presents a theory of reasoning about moral propositions that is based on four fundamental principles. First, no simple criterion picks out propositions about morality from within the larger set of deontic propositions concerning what is permissible and impermissible in social relations, the law, games, and manners. Second, the mechanisms underlying emotions and deontic evaluations are independent and operate in parallel, and so some scenarios elicit emotions prior to moral evaluations, some elicit moral evaluations prior to emotions, and some elicit them at the same time. Third, deontic evaluations depend on inferences, either unconscious intuitions or conscious reasoning. Fourth, human beliefs about what is, and isn't, moral are neither complete nor consistent. The article marshals the evidence, which includes new studies, corroborating these principles, and discusses the relations between them and other current theories of moral reasoning.

  16. Reason without much language

    OpenAIRE

    Varley, R.

    2014-01-01

    Language is more than a system used for interpersonal communication. Linguistic representations can also form a part of reasoning in other cognitive domains. However, it is unclear whether the role of language in non-verbal domains is a necessary one, or whether it represents an optional resource that is recruited under demanding or highly intentional processing conditions. The possible role of language in categorisation, belief reasoning, calculation and cross-domain integration is explored,...

  17. One reason, several logics

    OpenAIRE

    Evandro Agazzi

    2011-01-01

    Humans have used arguments for defending or refuting statements long before the creation of logic as a specialized discipline. This can be interpreted as the fact that an intuitive notion of "logical consequence" or a psychic disposition to articulate reasoning according to this pattern is present in common sense, and logic simply aims at describing and codifying the features of this spontaneous capacity of human reason. It is well known, however, that several arguments easily accepted by com...

  18. 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.

  19. 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.

  20. 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....