Sample records for making inferential reasoning

  1. A Framework to Support Research on Informal Inferential Reasoning

    Zieffler, Andrew; Garfield, Joan; delMas, Robert; Reading, Chris


    Informal inferential reasoning is a relatively recent concept in the research literature. Several research studies have defined this type of cognitive process in slightly different ways. In this paper, a working definition of informal inferential reasoning based on an analysis of the key aspects of statistical inference, and on research from…

  2. The Development of Introductory Statistics Students' Informal Inferential Reasoning and Its Relationship to Formal Inferential Reasoning

    Jacob, Bridgette L.


    The difficulties introductory statistics students have with formal statistical inference are well known in the field of statistics education. "Informal" statistical inference has been studied as a means to introduce inferential reasoning well before and without the formalities of formal statistical inference. This mixed methods study…

  3. Inferential reasoning by exclusion in children (Homo sapiens).

    Hill, Andrew; Collier-Baker, Emma; Suddendorf, Thomas


    The cups task is the most widely adopted forced-choice paradigm for comparative studies of inferential reasoning by exclusion. In this task, subjects are presented with two cups, one of which has been surreptitiously baited. When the empty cup is shaken or its interior shown, it is possible to infer by exclusion that the alternative cup contains the reward. The present study extends the existing body of comparative work to include human children (Homo sapiens). Like chimpanzees (Pan troglodytes) that were tested with the same equipment and near-identical procedures, children aged three to five made apparent inferences using both visual and auditory information, although the youngest children showed the least-developed ability in the auditory modality. However, unlike chimpanzees, children of all ages used causally irrelevant information in a control test designed to examine the possibility that their apparent auditory inferences were the product of contingency learning (the duplicate cups test). Nevertheless, the children's ability to reason by exclusion was corroborated by their performance on a novel verbal disjunctive syllogism test, and we found preliminary evidence consistent with the suggestion that children used their causal-logical understanding to reason by exclusion in the cups task, but subsequently treated the duplicate cups information as symbolic or communicative, rather than causal. Implications for future comparative research are discussed. 2012 APA, all rights reserved

  4. On the use of recognition in inferential decision making: An overview of the debate

    Rudiger F. Pohl


    Full Text Available I describe and discuss the sometimes heated controversy surrounding the recognition heuristic (RH as a model of inferential decision making. After briefly recapitulating the history of the RH up to its current version, I critically evaluate several specific assumptions and predictions of the RH and its surrounding framework: recognition as a memory-based process; the RH as a cognitive process model; proper conditions of testing the RH; measures of using the RH; reasons for not using the RH; the RH as a non-compensatory strategy; evidence for a Less-is-more effect (LIME; and the RH as part of the toolbox. The collection of these controversial issues may help to better understand the debate, to further sharpen the RH theory, and to develop ideas for future research.

  5. On inferentialism

    Radford, Luis


    This article is a critical commentary on inferentialism in mathematics education. In the first part, I comment on some of the major shortcomings that inferentialists see in the theoretical underpinnings of representationalist, empiricist, and socioconstructivist mathematics education theories. I discuss in particular the criticism that inferentialism makes of the social dimension as conceptualized by socioconstructivism and the question related to the objectivity of knowledge. In the second part, I discuss some of the theoretical foundations of inferentialism in mathematics education and try to answer the question of whether or not inferentialism overcomes the individual-social divide. In the third part, I speculate on what I think inferentialism accomplishes and what I think it does not.

  6. Logical Reasoning and Decision Making

    Ong, D; Khaddaj, Souheil; Bashroush, Rabih


    Most intelligent systems have some form of \\ud decision making mechanisms built into their \\ud organisations. These normally include a logical \\ud reasoning element into their design. This paper reviews \\ud and compares the different logical reasoning strategies, \\ud and tries to address the accuracy and precision of \\ud decision making by formulating a tolerance to \\ud imprecision view which can be used in conjunction with \\ud the various reasoning strategies.

  7. An introduction to inferentialism in mathematics education

    Derry, Jan


    This paper introduces the philosophical work of Robert Brandom, termed inferentialism, which underpins this collection and argues that it offers rich theoretical resources for reconsidering many of the challenges and issues that have arisen in mathematics education. Key to inferentialism is the privileging of the inferential over the representational in an account of meaning; and of direct concern here is the theoretical relevance of this to the process by which learners gain knowledge. Inferentialism requires that the correct application of a concept is to be understood in terms of inferential articulation, simply put, understanding it as having meaning only as part of a set of related concepts. The paper explains how Brandom's account of the meaning is inextricably tied to freedom and it is our responsiveness to reasons involving norms which makes humans a distinctive life form. In an educational context norms, function to delimit the domain in which knowledge is acquired and it is here that the neglect of our responsiveness to reasons is significant, not only for Brandom but also for Vygotsky, with implications for how knowledge is understood in mathematics classrooms. The paper explains the technical terms in Brandom's account of meaning, such as deontic scorekeeping, illustrating these through examples to show how the inferential articulation of a concept, and thus its correct application, is made visible. Inferentialism fosters the possibility of overcoming some of the thorny old problems that have seen those on the side of facts and disciplines opposed to those whose primary concern is the meaning making of learners.

  8. Assessment Can Support Reasoning and Sense Making

    Suurtam, Christine


    "Reasoning and sense making should occur in every classroom every day," states "Focus in High School Mathematics: Reasoning and Sense Making" (NCTM 2009, p. 5). As this book suggests, reasoning can take many forms, including explorations and conjectures as well as explanations and justifications of student thinking. Sense making, on the other…

  9. Inferentializing Semantics

    Peregrin, Jaroslav


    Roč. 39, č. 3 (2010), s. 255-274 ISSN 0022-3611 R&D Projects: GA ČR(CZ) GA401/07/0904 Institutional research plan: CEZ:AV0Z90090514 Keywords : inference * proof theory * model theory * inferentialism * semantics Subject RIV: AA - Philosophy ; Religion

  10. Inferentialism as an alternative to socioconstructivism in mathematics education

    Noorloos, Ruben; Taylor, Samuel D.; Bakker, Arthur; Derry, Jan


    The purpose of this article is to draw the attention of mathematics education researchers to a relatively new semantic theory called inferentialism, as developed by the philosopher Robert Brandom. Inferentialism is a semantic theory which explains concept formation in terms of the inferences individuals make in the context of an intersubjective practice of acknowledging, attributing, and challenging one another's commitments. The article argues that inferentialism can help to overcome certain problems that have plagued the various forms of constructivism, and socioconstructivism in particular. Despite the range of socioconstructivist positions on offer, there is reason to think that versions of these problems will continue to haunt socioconstructivism. The problems are that socioconstructivists (i) have not come to a satisfactory resolution of the social-individual dichotomy, (ii) are still threatened by relativism, and (iii) have been vague in their characterization of what construction is. We first present these problems; then we introduce inferentialism, and finally we show how inferentialism can help to overcome the problems. We argue that inferentialism (i) contains a powerful conception of norms that can overcome the social-individual dichotomy, (ii) draws attention to the reality that constrains our inferences, and (iii) develops a clearer conception of learning in terms of the mastering of webs of reasons. Inferentialism therefore represents a powerful alternative theoretical framework to socioconstructivism.


    V. V. Nadurak


    Full Text Available Purpose of the research is the study of relationship between emotional and rational factors in moral decisions making. Methodology. The work is primarily based on the analysis and synthesis of the main empirical studies of the problem, each of which uses the methods of those sciences in which they were conducted (neurosciences. Originality. In general, the process of moral decision making cannot be described by a single simple model that would see only emotional or rational factor in foundation of this process. Moral decision making is characterized by different types of interaction between emotions and rational considerations. The influence of emotional and rational factors on moral decision is nonlinear: moral decision, which person makes, isn’t proportional to those emotions that preceded it and isn't unambiguously determined by them, because rational reasoning and contextual factors can significantly change it. Similarly, the reasoning that precede the decision is not necessarily reflected in the decision, because it can be significantly corrected by those emotions that accompany it. Conclusions. The process of moral decision making involves complex, heterogeneous interaction between emotional and rational factors. There are three main types of such interaction: first, the reasoning serves to rationalize prior emotional response; second, there are cases when reasoning precedes emotional reactions and determines it; third, interaction between these factors is characterized by cyclic causality (emotion impacts reasoning, which in turn impacts emotions. The influence of emotions or rational reasoning on moral decision is nonlinear.

  12. Making the Implicit Explicit: The Grammar of Inferential Reasoning in the Humanities and Social Sciences

    Luckett, Kathy


    This is a theoretical paper that addresses the challenge of educational access to the Humanities and Social Sciences. It plots a theoretical quest to develop an explicit pedagogy to give "disadvantaged" students in the Humanities ways of working successfully with texts. In doing so it draws on Bernstein, Moore and Maton's work to…

  13. Causal knowledge and reasoning in decision making

    Hagmayer, Y.; Witteman, C.L.M.


    Normative causal decision theories argue that people should use their causal knowledge in decision making. Based on these ideas, we argue that causal knowledge and reasoning may support and thereby potentially improve decision making based on expected outcomes, narratives, and even cues. We will

  14. An inferentialist perspective on the coordination of actions and reasons involved in making a statistical inference

    Bakker, Arthur; Ben-Zvi, Dani; Makar, Katie


    To understand how statistical and other types of reasoning are coordinated with actions to reduce uncertainty, we conducted a case study in vocational education that involved statistical hypothesis testing. We analyzed an intern's research project in a hospital laboratory in which reducing uncertainties was crucial to make a valid statistical inference. In his project, the intern, Sam, investigated whether patients' blood could be sent through pneumatic post without influencing the measurement of particular blood components. We asked, in the process of making a statistical inference, how are reasons and actions coordinated to reduce uncertainty? For the analysis, we used the semantic theory of inferentialism, specifically, the concept of webs of reasons and actions—complexes of interconnected reasons for facts and actions; these reasons include premises and conclusions, inferential relations, implications, motives for action, and utility of tools for specific purposes in a particular context. Analysis of interviews with Sam, his supervisor and teacher as well as video data of Sam in the classroom showed that many of Sam's actions aimed to reduce variability, rule out errors, and thus reduce uncertainties so as to arrive at a valid inference. Interestingly, the decisive factor was not the outcome of a t test but of the reference change value, a clinical chemical measure of analytic and biological variability. With insights from this case study, we expect that students can be better supported in connecting statistics with context and in dealing with uncertainty.

  15. Reasoning in explanation-based decision making.

    Pennington, N; Hastie, R


    A general theory of explanation-based decision making is outlined and the multiple roles of inference processes in the theory are indicated. A typology of formal and informal inference forms, originally proposed by Collins (1978a, 1978b), is introduced as an appropriate framework to represent inferences that occur in the overarching explanation-based process. Results from the analysis of verbal reports of decision processes are presented to demonstrate the centrality and systematic character of reasoning in a representative legal decision-making task.

  16. Anger and Moral Reasoning in Decision Making

    Matúš Grežo; Ľubor Pilárik


    The aim of the research was to examine the impact of anger on moral reasoning and decision making. We were interested in whether anger leads to more punitive attributions and to greater willingness to help when one perceives immoral behavior. Participants (N=61) of the experimental design were randomly divided into two groups. The results show that anger may lead to more automatic information processing and also to an intuition based judgment. Angry participants chose harsher punishments and ...

  17. Inferential Processor.


    dlutilization,o Groupe d’Intelligence Artificielle , Universite d’Aix- Marseille, Luminy, France, September 1975. 4. Clocksint W.F. and C.S. Mellish...for reasoning in higher-order logics such as the first-order predicate calculus; the latter is required for applications in artificial intelligence ...analysis and evaluation of intelligence reports, the preparation and analysis of tactical I methods and principles, the formulation and interpretation of

  18. Clues as information, the semiotic gap, and inferential investigative processes, or making a (very small) contribution to the new discipline, Forensic Semiotics

    Sørensen, Bent; Thellefsen, Torkild Leo; Thellefsen, Martin Muderspach


    In this article, we try to contribute to the new discipline Forensic Semiotics – a discipline introduced by the Canadian polymath Marcel Danesi. We focus on clues as information and criminal investigative processes as inferential. These inferential (and Peircean) processes have a certain complexity...


    V. V. Nadurak


    Purpose of the research is the study of relationship between emotional and rational factors in moral decisions making. Methodology. The work is primarily based on the analysis and synthesis of the main empirical studies of the problem, each of which uses the methods of those sciences in which they were conducted (neurosciences). Originality. In general, the process of moral decision making cannot be described by a single simple model that would see only emotional or rational factor in foundat...

  20. Reasoning and Sense Making Begins with the Teacher

    Keazer, Lindsay M.; Menon, Rahul S.


    This article argues that the practices of reasoning and sense making are critical for developing students' mathematical literacy. Seven mathematics teachers collaborated throughout a school year to discuss the ideas proposed in Reasoning and Sense Making (NCTM 2009) and put them into practice through action research. Conducting action research,…

  1. Ludics, dialogue and inferentialism

    Alain Lecomte


    Full Text Available In this paper, we try to show that Ludics, a (pre-logical framework invented by J-Y. Girard, enables us to rethink some of the relationships between Philosophy, Semantics and Pragmatics. In particular, Ludics helps to shed light on the nature of dialogue and to articulate features of Brandom's inferentialism.

  2. The use of regularization in inferential measurements

    Hines, J. Wesley; Gribok, Andrei V.; Attieh, Ibrahim; Uhrig, Robert E.


    Inferential sensing is the prediction of a plant variable through the use of correlated plant variables. A correct prediction of the variable can be used to monitor sensors for drift or other failures making periodic instrument calibrations unnecessary. This move from periodic to condition based maintenance can reduce costs and increase the reliability of the instrument. Having accurate, reliable measurements is important for signals that may impact safety or profitability. This paper investigates how collinearity adversely affects inferential sensing by making the results inconsistent and unrepeatable; and presents regularization as a potential solution (author) (ml)

  3. Reasons, methods used and decision-making for pregnancy ...

    Objective: To explore the methods, reasons and decision-making process for termination of pregnancy among adolescents and older women, in Mulago hospital, Kampala, Uganda. Design: Comparative study. Subjects: Nine hundred and forty two women seeking postabortion care, of which 333 had induced abortion (of ...

  4. Critiquing the Reasons for Making Artificial Moral Agents.

    van Wynsberghe, Aimee; Robbins, Scott


    Many industry leaders and academics from the field of machine ethics would have us believe that the inevitability of robots coming to have a larger role in our lives demands that robots be endowed with moral reasoning capabilities. Robots endowed in this way may be referred to as artificial moral agents (AMA). Reasons often given for developing AMAs are: the prevention of harm, the necessity for public trust, the prevention of immoral use, such machines are better moral reasoners than humans, and building these machines would lead to a better understanding of human morality. Although some scholars have challenged the very initiative to develop AMAs, what is currently missing from the debate is a closer examination of the reasons offered by machine ethicists to justify the development of AMAs. This closer examination is especially needed because of the amount of funding currently being allocated to the development of AMAs (from funders like Elon Musk) coupled with the amount of attention researchers and industry leaders receive in the media for their efforts in this direction. The stakes in this debate are high because moral robots would make demands on society; answers to a host of pending questions about what counts as an AMA and whether they are morally responsible for their behavior or not. This paper shifts the burden of proof back to the machine ethicists demanding that they give good reasons to build AMAs. The paper argues that until this is done, the development of commercially available AMAs should not proceed further.

  5. The role of emotions in clinical reasoning and decision making.

    Marcum, James A


    What role, if any, should emotions play in clinical reasoning and decision making? Traditionally, emotions have been excluded from clinical reasoning and decision making, but with recent advances in cognitive neuropsychology they are now considered an important component of them. Today, cognition is thought to be a set of complex processes relying on multiple types of intelligences. The role of mathematical logic (hypothetico-deductive thinking) or verbal linguistic intelligence in cognition, for example, is well documented and accepted; however, the role of emotional intelligence has received less attention-especially because its nature and function are not well understood. In this paper, I argue for the inclusion of emotions in clinical reasoning and decision making. To that end, developments in contemporary cognitive neuropsychology are initially examined and analyzed, followed by a review of the medical literature discussing the role of emotions in clinical practice. Next, a published clinical case is reconstructed and used to illustrate the recognition and regulation of emotions played during a series of clinical consultations, which resulted in a positive medical outcome. The paper's main thesis is that emotions, particularly in terms of emotional intelligence as a practical form of intelligence, afford clinical practitioners a robust cognitive resource for providing quality medical care.

  6. Assessing ethical problem solving by reasoning rather than decision making.

    Tsai, Tsuen-Chiuan; Harasym, Peter H; Coderre, Sylvain; McLaughlin, Kevin; Donnon, Tyrone


    The assessment of ethical problem solving in medicine has been controversial and challenging. The purposes of this study were: (i) to create a new instrument to measure doctors' decisions on and reasoning approach towards resolving ethical problems; (ii) to evaluate the scores generated by the new instrument for their reliability and validity, and (iii) to compare doctors' ethical reasoning abilities between countries and among medical students, residents and experts. This study used 15 clinical vignettes and the think-aloud method to identify the processes and components involved in ethical problem solving. Subjects included volunteer ethics experts, postgraduate Year 2 residents and pre-clerkship medical students. The interview data were coded using the instruments of the decision score and Ethical Reasoning Inventory (ERI). The ERI assessed the quality of ethical reasoning for a particular case (Part I) and for an individual globally across all the vignettes (Part II). There were 17 Canadian and 32 Taiwanese subjects. Based on the Canadian standard, the decision scores between Taiwanese and Canadian subjects differed significantly, but made no discrimination among the three levels of expertise. Scores on the ERI Parts I and II, which reflect doctors' reasoning quality, differed between countries and among different levels of expertise in Taiwan, providing evidence of construct validity. In addition, experts had a greater organised knowledge structure and considered more relevant variables in the process of arriving at ethical decisions than did residents or students. The reliability of ERI scores was 0.70-0.99 on Part I and 0.75-0.80 on Part II. Expertise in solving ethical problems could not be differentiated by the decisions made, but could be differentiated according to the reasoning used to make those decisions. The difference between Taiwanese and Canadian experts suggests that cultural considerations come into play in the decisions that are made in the

  7. Counterfactual reasoning in surrogate decision making -- another look.

    Johansson, Mats; Broström, Linus


    Incompetent patients need to have someone else make decisions on their behalf. According to the Substituted Judgment Standard the surrogate decision maker ought to make the decision that the patient would have made, had he or she been competent. Objections have been raised against this traditional construal of the standard on the grounds that it involves flawed counterfactual reasoning, and amendments have been suggested within the framework of possible worlds semantics. The paper shows that while this approach may circumvent the alleged problem, the way it has so far been elaborated reflects insufficient understanding of the moral underpinnings of the idea of substituted judgment. Proper recognition of these moral underpinnings has potentially far-reaching implications for our normative assumptions about accuracy and objectivity in surrogate decision making.

  8. What makes a good experiment ? reasons and roles in science

    Franklin, Allan


    What makes a good experiment? Although experimental evidence plays an essential role in science, as Franklin argues, there is no algorithm or simple set of criteria for ranking or evaluating good experiments, and therefore no definitive answer to the question. Experiments can, in fact, be good in any number of ways: conceptually good, methodologically good, technically good, and pedagogically important. And perfection is not a requirement: even experiments with incorrect results can be good, though they must, he argues, be methodologically good, providing good reasons for belief in their results. Franklin revisits the same important question he posed in his 1981 article in the British Journal for the Philosophy of Science, when it was generally believed that the only significant role of experiment in science was to test theories. But experiments can actually play a lot of different roles in science—they can, for example, investigate a subject for which a theory does not exist, help to articulate an existing ...

  9. Detecting fast, online reasoning processes in clinical decision making.

    Flores, Amanda; Cobos, Pedro L; López, Francisco J; Godoy, Antonio


    In an experiment that used the inconsistency paradigm, experienced clinical psychologists and psychology students performed a reading task using clinical reports and a diagnostic judgment task. The clinical reports provided information about the symptoms of hypothetical clients who had been previously diagnosed with a specific mental disorder. Reading times of inconsistent target sentences were slower than those of control sentences, demonstrating an inconsistency effect. The results also showed that experienced clinicians gave different weights to different symptoms according to their relevance when fluently reading the clinical reports provided, despite the fact that all the symptoms were of equal diagnostic value according to the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; American Psychiatric Association, 2000). The diagnostic judgment task yielded a similar pattern of results. In contrast to previous findings, the results of the reading task may be taken as direct evidence of the intervention of reasoning processes that occur very early, rapidly, and online. We suggest that these processes are based on the representation of mental disorders and that these representations are particularly suited to fast retrieval from memory and to making inferences. They may also be related to the clinicians' causal reasoning. The implications of these results for clinician training are also discussed.

  10. Clinical reasoning-embodied meaning-making in physiotherapy.

    Chowdhury, Anoop; Bjorbækmo, Wenche Schrøder


    This article examines physiotherapists' lived experience of practicing physiotherapy in primary care, focusing on clinical reasoning and decision-making in the case of a patient we call Eva. The material presented derives from a larger study involving two women participants, both with a protracted history of neck and shoulder pain. A total of eight sessions, all of them conducted by the first author, a professional physiotherapist, in his own practice room, were videotaped, after which the first author transcribed the sessions and added reflective notes. One session emerged as particularly stressful for both parties and is explored in detail in this article. In our analysis, we seek to be attentive to the experiences of physiotherapy displayed and to explore their meaning, significance and uniqueness from a phenomenological perspective. Our research reveals the complexity of integrating multiple theoretical perspectives of practice in clinical decision-making and suggests that a phenomenological perspective can provide insights into clinical encounters through its recognition of embodied knowledge. We argue that good physiotherapy practice demands tactfulness, sensitivity, and the desire to build a cooperative patient-therapist relationship. Informed by theoretical and practical knowledge from multiple disciplines, patient management can evolve and unfold beyond rehearsed routines and theoretical principles.

  11. Heuristic Reasoning in Chemistry: Making Decisions about Acid Strength

    McClary, Lakeisha; Talanquer, Vicente


    The characterization of students' reasoning strategies is of central importance in the development of instructional strategies that foster meaningful learning. In particular, the identification of shortcut reasoning procedures (heuristics) used by students to reduce cognitive load can help us devise strategies to facilitate the development of more…

  12. Lateral prefrontal cortex subregions make dissociable contributions during fluid reasoning.

    Hampshire, Adam; Thompson, Russell; Duncan, John; Owen, Adrian M


    Reasoning is a key component of adaptable "executive" behavior and is known to depend on a network of frontal and parietal brain regions. However, the mechanisms by which this network supports reasoning and adaptable behavior remain poorly defined. Here, we examine the relationship between reasoning, executive control, and frontoparietal function in a series of nonverbal reasoning experiments. Our results demonstrate that, in accordance with previous studies, a network of frontal and parietal brain regions is recruited during reasoning. Our results also reveal that this network can be fractionated according to how different subregions respond when distinct reasoning demands are manipulated. While increased rule complexity modulates activity within a right lateralized network including the middle frontal gyrus and the superior parietal cortex, analogical reasoning demand-or the requirement to remap rules on to novel features-recruits the left inferior rostrolateral prefrontal cortex and the lateral occipital complex. In contrast, the posterior extent of the inferior frontal gyrus, associated with simpler executive demands, is not differentially sensitive to rule complexity or analogical demand. These findings accord well with the hypothesis that different reasoning demands are supported by different frontal and parietal subregions.

  13. Lateral Prefrontal Cortex Subregions Make Dissociable Contributions during Fluid Reasoning

    Thompson, Russell; Duncan, John; Owen, Adrian M.


    Reasoning is a key component of adaptable “executive” behavior and is known to depend on a network of frontal and parietal brain regions. However, the mechanisms by which this network supports reasoning and adaptable behavior remain poorly defined. Here, we examine the relationship between reasoning, executive control, and frontoparietal function in a series of nonverbal reasoning experiments. Our results demonstrate that, in accordance with previous studies, a network of frontal and parietal brain regions is recruited during reasoning. Our results also reveal that this network can be fractionated according to how different subregions respond when distinct reasoning demands are manipulated. While increased rule complexity modulates activity within a right lateralized network including the middle frontal gyrus and the superior parietal cortex, analogical reasoning demand—or the requirement to remap rules on to novel features—recruits the left inferior rostrolateral prefrontal cortex and the lateral occipital complex. In contrast, the posterior extent of the inferior frontal gyrus, associated with simpler executive demands, is not differentially sensitive to rule complexity or analogical demand. These findings accord well with the hypothesis that different reasoning demands are supported by different frontal and parietal subregions. PMID:20483908

  14. Teaching for clinical reasoning - helping students make the conceptual links.

    McMillan, Wendy Jayne


    Dental educators complain that students struggle to apply what they have learnt theoretically in the clinical context. This paper is premised on the assumption that there is a relationship between conceptual thinking and clinical reasoning. The paper provides a theoretical framework for understanding the relationship between conceptual learning and clinical reasoning. A review of current literature is used to explain the way in which conceptual understanding influences clinical reasoning and the transfer of theoretical understandings to the clinical context. The paper argues that the connections made between concepts are what is significant about conceptual understanding. From this point of departure the paper describes teaching strategies that facilitate the kinds of learning opportunities that students need in order to develop conceptual understanding and to be able to transfer knowledge from theoretical to clinical contexts. Along with a variety of teaching strategies, the value of concept maps is discussed. The paper provides a framework for understanding the difficulties that students have in developing conceptual networks appropriate for later clinical reasoning. In explaining how students learn for clinical application, the paper provides a theoretical framework that can inform how dental educators facilitate the conceptual learning, and later clinical reasoning, of their students.

  15. Conditionals and inferential connections: A hypothetical inferential theory.

    Douven, Igor; Elqayam, Shira; Singmann, Henrik; van Wijnbergen-Huitink, Janneke


    Intuition suggests that for a conditional to be evaluated as true, there must be some kind of connection between its component clauses. In this paper, we formulate and test a new psychological theory to account for this intuition. We combined previous semantic and psychological theorizing to propose that the key to the intuition is a relevance-driven, satisficing-bounded inferential connection between antecedent and consequent. To test our theory, we created a novel experimental paradigm in which participants were presented with a soritical series of objects, notably colored patches (Experiments 1 and 4) and spheres (Experiment 2), or both (Experiment 3), and were asked to evaluate related conditionals embodying non-causal inferential connections (such as "If patch number 5 is blue, then so is patch number 4"). All four experiments displayed a unique response pattern, in which (largely determinate) responses were sensitive to parameters determining inference strength, as well as to consequent position in the series, in a way analogous to belief bias. Experiment 3 showed that this guaranteed relevance can be suppressed, with participants reverting to the defective conditional. Experiment 4 showed that this pattern can be partly explained by a measure of inference strength. This pattern supports our theory's "principle of relevant inference" and "principle of bounded inference," highlighting the dual processing characteristics of the inferential connection. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  16. Monitoring in the nearshore: A process for making reasoned decisions

    Bodkin, James L.; Dean, T.A.


    Over the past several years, a conceptual framework for the GEM nearshore monitoring program has been developed through a series of workshops. However, details of the proposed monitoring program, e.g. what to sample, where to sample, when to sample and at how many sites, have yet to be determined. In FY 03 we were funded under Project 03687 to outline a process whereby specific alternatives to monitoring are developed and presented to the EVOS Trustee Council for consideration. As part of this process, two key elements are required before reasoned decisions can be made. These are: 1) a comprehensive historical perspective of locations and types of past studies conducted in the nearshore marine communities within Gulf of Alaska, and 2) estimates of costs for each element of a proposed monitoring program. We have developed a GIS database that details available information from past studies of selected nearshore habitats and species in the Gulf of Alaska and provide a visual means of selecting sites based (in part) on the locations for which historical data of interest are available. We also provide cost estimates for specific monitoring plan alternatives and outline several alternative plans that can be accomplished within reasonable budgetary constraints. The products that we will provide are: 1) A GIS database and maps showing the location and types of information available from the nearshore in the Gulf of Alaska; 2) A list of several specific monitoring alternatives that can be conducted within reasonable budgetary constraints; and 3) Cost estimates for proposed tasks to be conducted as part of the nearshore program. Because data compilation and management will not be completed until late in FY03 we are requesting support for close-out of this project in FY 04.

  17. Adaptive inferential sensors based on evolving fuzzy models.

    Angelov, Plamen; Kordon, Arthur


    A new technique to the design and use of inferential sensors in the process industry is proposed in this paper, which is based on the recently introduced concept of evolving fuzzy models (EFMs). They address the challenge that the modern process industry faces today, namely, to develop such adaptive and self-calibrating online inferential sensors that reduce the maintenance costs while keeping the high precision and interpretability/transparency. The proposed new methodology makes possible inferential sensors to recalibrate automatically, which reduces significantly the life-cycle efforts for their maintenance. This is achieved by the adaptive and flexible open-structure EFM used. The novelty of this paper lies in the following: (1) the overall concept of inferential sensors with evolving and self-developing structure from the data streams; (2) the new methodology for online automatic selection of input variables that are most relevant for the prediction; (3) the technique to detect automatically a shift in the data pattern using the age of the clusters (and fuzzy rules); (4) the online standardization technique used by the learning procedure of the evolving model; and (5) the application of this innovative approach to several real-life industrial processes from the chemical industry (evolving inferential sensors, namely, eSensors, were used for predicting the chemical properties of different products in The Dow Chemical Company, Freeport, TX). It should be noted, however, that the methodology and conclusions of this paper are valid for the broader area of chemical and process industries in general. The results demonstrate that well-interpretable and with-simple-structure inferential sensors can automatically be designed from the data stream in real time, which predict various process variables of interest. The proposed approach can be used as a basis for the development of a new generation of adaptive and evolving inferential sensors that can address the

  18. Probability Theory Plus Noise: Descriptive Estimation and Inferential Judgment.

    Costello, Fintan; Watts, Paul


    We describe a computational model of two central aspects of people's probabilistic reasoning: descriptive probability estimation and inferential probability judgment. This model assumes that people's reasoning follows standard frequentist probability theory, but it is subject to random noise. This random noise has a regressive effect in descriptive probability estimation, moving probability estimates away from normative probabilities and toward the center of the probability scale. This random noise has an anti-regressive effect in inferential judgement, however. These regressive and anti-regressive effects explain various reliable and systematic biases seen in people's descriptive probability estimation and inferential probability judgment. This model predicts that these contrary effects will tend to cancel out in tasks that involve both descriptive estimation and inferential judgement, leading to unbiased responses in those tasks. We test this model by applying it to one such task, described by Gallistel et al. ). Participants' median responses in this task were unbiased, agreeing with normative probability theory over the full range of responses. Our model captures the pattern of unbiased responses in this task, while simultaneously explaining systematic biases away from normatively correct probabilities seen in other tasks. Copyright © 2018 Cognitive Science Society, Inc.

  19. Inferential ecosystem models, from network data to prediction

    James S. Clark; Pankaj Agarwal; David M. Bell; Paul G. Flikkema; Alan Gelfand; Xuanlong Nguyen; Eric Ward; Jun Yang


    Recent developments suggest that predictive modeling could begin to play a larger role not only for data analysis, but also for data collection. We address the example of efficient wireless sensor networks, where inferential ecosystem models can be used to weigh the value of an observation against the cost of data collection. Transmission costs make observations ‘‘...

  20. The Relationship between Ethical Decision Making and Ethical Reasoning in Information Technology Students

    Woodward, Belle; Davis, Diane C.; Hodis, Flaviu A.


    This study examined undergraduate information technology (IT) students' (N = 122) level of ethical reasoning and decision making at a Midwestern university. The purpose was to determine whether IT students' level of ethical reasoning provided information about the degree of their ethical decision making. The Defining Issues Test-2 (DIT-2) was used…

  1. Examination of Children Decision Making Using Clues during the Logical Reasoning Process

    Çelik, Meryem


    Logical reasoning is the process of thinking about a problem and finding the most effective solution. Children's decision-making skills are part of their cognitive development and are also indicative. The purpose of this study was to examine children's decision-making skills using clues in logical reasoning based on various variables. The study…

  2. Clinical reasoning and case-based decision making: the fundamental challenge to veterinary educators.

    May, Stephen A


    Confusion about the nature of human reasoning and its appropriate application to patients has hampered veterinary students' development of these skills. Expertise is associated with greater ability to deploy pattern recognition (type 1 reasoning), which is aided by progressive development of data-driven, forward reasoning (in contrast to scientific, backward reasoning), analytical approaches that lead to schema acquisition. The associative nature of type 1 reasoning makes it prone to bias, particularly in the face of "cognitive miserliness," when clues that indicate the need for triangulation with an analytical approach are ignored. However, combined reasoning approaches, from the earliest stages, are more successful than one approach alone, so it is important that those involved in curricular design and delivery promote student understanding of reasoning generally, and the situations in which reasoning goes awry, and develop students' ability to reason safely and accurately whether presented with a familiar case or with a case that they have never seen before.

  3. Teaching clinical reasoning by making thinking visible: an action research project with allied health clinical educators.

    Delany, Clare; Golding, Clinton


    Clinical reasoning is fundamental to all forms of professional health practice, however it is also difficult to teach and learn because it is complex, tacit, and effectively invisible for students. In this paper we present an approach for teaching clinical reasoning based on making expert thinking visible and accessible to students. Twenty-one experienced allied health clinical educators from three tertiary Australian hospitals attended up to seven action research discussion sessions, where they developed a tentative heuristic of their own clinical reasoning, trialled it with students, evaluated if it helped their students to reason clinically, and then refined it so the heuristic was targeted to developing each student's reasoning skills. Data included participants' written descriptions of the thinking routines they developed and trialed with their students and the transcribed action research discussion sessions. Content analysis was used to summarise this data and categorise themes about teaching and learning clinical reasoning. Two overriding themes emerged from participants' reports about using the 'making thinking visible approach'. The first was a specific focus by participating educators on students' understanding of the reasoning process and the second was heightened awareness of personal teaching styles and approaches to teaching clinical reasoning. We suggest that the making thinking visible approach has potential to assist educators to become more reflective about their clinical reasoning teaching and acts as a scaffold to assist them to articulate their own expert reasoning and for students to access and use.

  4. Students' Reasoning and Decision Making about a Socioscientific Issue: A Cross-Context Comparison

    Lee, Yeung Chung; Grace, Marcus


    It has been argued that decision making about socioscientific issue (SSIs) necessitates informal reasoning, which involves multiperspective thinking and moral judgment. This study extends the scope of the literature concerning students' reasoning on SSIs to a cross-contextual study by comparing decisions made on avian flu by 12-13-year-old Chinese…

  5. Deepening the quality of clinical reasoning and decision-making in rural hospital nursing practice.

    Sedgwick, M G; Grigg, L; Dersch, S


    Rural acute care nursing requires an extensive breadth and depth of knowledge as well as the ability to quickly reason through problems in order to make sound clinical decisions. This reasoning often occurs within an environment that has minimal medical or ancillary support. Registered nurses (RN) new to rural nursing, and employers, have raised concerns about patient safety while new nurses make the transition into rural practice. In addition, feeling unprepared for the rigors of rural hospital nursing practice is a central issue influencing RN recruitment and retention. Understanding how rural RNs reason is a key element for identifying professional development needs and may support recruitment and retention of skilled rural nurses. The purpose of this study was to explore how rural RNs reason through clinical problems as well as to assess the quality of such reasoning. This study used a non-traditional approach for data collection. Fifteen rural acute care nurses with varying years of experience working in southern Alberta, Canada, were observed while they provided care to patients of varying acuity within a simulated rural setting. Following the simulation, semi-structured interviews were conducted using a substantive approach to critical thinking. Findings revealed that the ability to engage in deep clinical reasoning varied considerably among participants despite being given the same information under the same circumstances. Furthermore, the number of years of experience did not seem to be directly linked to the ability to engage in sound clinical reasoning. Novice nurses, however, did rely heavily on others in their decision making in order to ensure they were making the right decision. Hence, their relationships with other staff members influenced their ability to engage in clinical reasoning and decision making. In situations where the patient's condition was deteriorating quickly, regardless of years of experience, all of the participants depended on

  6. Inferential Style, School Teachers, and Depressive Symptoms in College Students

    Caroline M. Pittard,


    Full Text Available Depressive symptoms affect around half of students at some point during college. According to the hopelessness theory of depression, making negative inferences about stressful events is a vulnerability for developing depression. Negative and socioemotional teaching behavior can be stressors that are associated with depression in school students. First-time college freshmen completed the Cognitive Style Questionnaire (CSQ, Teaching Behavior Questionnaire (TBQ, and Center for Epidemiological Studies Depression Scale (CES-D. While completing the TBQ, participants reported on a teacher from prior education to college. Multiple regression analysis found significant effects of the independent variables (four teaching behavior types, inferential style, and interactions between the four teaching behavior types and inferential style on the dependent variable (depressive symptoms. More specifically, negative and socio-emotional teaching behavior were positively associated with depressive symptoms and instructional and organizational teaching behavior were negatively associated with depressive symptoms. Both organizational and negative teaching behavior interacted significantly with inferential style. Organizational and negative teaching behavior shared different relationships with depressive symptoms depending upon an individual‟s level of inferential style. Promotion of instructional and organizational teaching behavior in school as well as the reduction of negative teaching behavior may be useful in reducing students‟ depressive symptoms.

  7. Examining Moral Reasoning and Ethical Decision Making among Mississippi's Community College Administrators

    Wilson, Vernesia Bracey


    As ethical dilemmas arise in community colleges, administrators make decisions that require sensitivity to the organizational, political, and environmental factors surrounding their particular institutional climates and locales. The moral reasoning and ethical decision-making of community college administrators were examined in this study. In…

  8. One-reason decision making in risky choice? A closer look at the priority heuristic

    Benjamin E. Hilbig


    Full Text Available Although many models for risky choices between gambles assume that information is somehow integrated, the recently proposed priority heuristic (PH claims that choices are based on one piece of information only. That is, although the current reason for a choice according to the PH can vary, all other reasons are claimed to be ignored. However, the choices predicted by the PH and other pieces of information are often confounded, thus rendering critical tests of whether decisions are actually based on one reason only, impossible. The current study aims to remedy this problem by manipulating the number of reasons additionally in line with the choice implied by the PH. The results show that participants' choices and decision times depend heavily on the number of reasons in line with the PH --- thus contradicting the notion of non-compensatory, one-reason decision making.

  9. A Statistical Primer: Understanding Descriptive and Inferential Statistics

    Gillian Byrne


    As libraries and librarians move more towards evidence‐based decision making, the data being generated in libraries is growing. Understanding the basics of statistical analysis is crucial for evidence‐based practice (EBP), in order to correctly design and analyze researchas well as to evaluate the research of others. This article covers the fundamentals of descriptive and inferential statistics, from hypothesis construction to sampling to common statistical techniques including chi‐square, co...

  10. Reasons for family involvement in elective surgical decision-making in Taiwan: a qualitative study.

    Lin, Mei-Ling; Huang, Chuen-Teng; Chen, Ching-Huey


    To inquire into the reasons for family involvement in adult patients' surgical decision-making processes from the point of view of the patients' family. Making a patient the centre of medical decision-making is essential for respecting individual's autonomy. However, in a Chinese society, family members are often deeply involved in a patient's medical decision-making. Although family involvement has long been viewed as an aspect of the Chinese culture, empirical evidence of the reasons for family involvement in medical decision-making has been lacking. A qualitative study. In order to record and examine reasons for family involvement in adult patients' surgical decision-making, 12 different family members of 12 elective surgery patients were interviewed for collecting and analysing data. Three major reasons for family involvement emerged from the data analyses: (1) to share responsibility; (2) to ensure the correctness of medical information; and (3) to safeguard the patient's well-being. These findings also reveal that culture is not the only reason for family involvement. Making decision to undergo a surgery is a tough and stressful process for a patient. Family may provide the patient with timely psychological support to assist the patient to communicate with his or her physician(s) and other medical personnel to ensure their rights. It is also found that due to the imbalanced doctor-patient power relationship, a patient may be unable, unwilling to, or even dare not, tell the whole truth about his or her illness or feelings to the medical personnel. Thus, a patient would expect his or her family to undertake such a mission during the informed consent and decision-making processes. The results of this study may provide medical professionals with relevant insights into family involvement in adult patients' surgical decision-making. © 2016 John Wiley & Sons Ltd.

  11. Disgust and biological descriptions bias logical reasoning during legal decision-making.

    Capestany, Beatrice H; Harris, Lasana T


    Legal decisions often require logical reasoning about the mental states of people who perform gruesome behaviors. We use functional magnetic resonance imaging (fMRI) to examine how brain regions implicated in logical reasoning are modulated by emotion and social cognition during legal decision-making. Participants read vignettes describing crimes that elicit strong or weak disgust matched on punishment severity using the US Federal Sentencing Guidelines. An extraneous sentence at the end of each vignette described the perpetrator's personality using traits or biological language, mimicking the increased use of scientific evidence presented in courts. Behavioral results indicate that crimes weak in disgust receive significantly less punishment than the guidelines recommend. Neuroimaging results indicate that brain regions active during logical reasoning respond less to crimes weak in disgust and biological descriptions of personality, demonstrating the impact of emotion and social cognition on logical reasoning mechanisms necessary for legal decision-making.

  12. The 4C framework for making reasonable adjustments for people with learning disabilities.

    Marsden, Daniel; Giles, Rachel


    Background People with learning disabilities experience significant inequalities in accessing healthcare. Legal frameworks, such as the Equality Act 2010, are intended to reduce such disparities in care, and require organisations to make 'reasonable adjustments' for people with disabilities, including learning disabilities. However, reasonable adjustments are often not clearly defined or adequately implemented in clinical practice. Aim To examine and synthesise the challenges in caring for people with learning disabilities to develop a framework for making reasonable adjustments for people with learning disabilities in hospital. This framework would assist ward staff in identifying and managing the challenges of delivering person-centred, safe and effective healthcare to people with learning disabilities in this setting. Method Fourth-generation evaluation, collaborative thematic analysis, reflection and a secondary analysis were used to develop a framework for making reasonable adjustments in the hospital setting. The authors attended ward manager and matron group meetings to collect their claims, concerns and issues, then conducted a collaborative thematic analysis with the group members to identify the main themes. Findings Four main themes were identified from the ward manager and matron group meetings: communication, choice-making, collaboration and coordination. These were used to develop the 4C framework for making reasonable adjustments for people with learning disabilities in hospital. Discussion The 4C framework has provided a basis for delivering person-centred care for people with learning disabilities. It has been used to inform training needs analyses, develop audit tools to review delivery of care that is adjusted appropriately to the individual patient; and to develop competencies for learning disability champions. The most significant benefit of the 4C framework has been in helping to evaluate and resolve practice-based scenarios. Conclusion Use of


    Roman Cristina Teodora


    In this paper the conclusions related to the reasons and direction that can make users to increase the usage of smartphone services are coming both, from multiple factor regression analysis, as well as from the analysis of the sample research profile.

  14. Focus in High School Mathematics: Reasoning and Sense Making in Geometry

    National Council of Teachers of Mathematics, 2010


    Classically, geometry has been the subject in which students encounter mathematical proof based on formal deduction. Attention to proof in the geometry curriculum is strengthened by a focus on reasoning and sense making. This book examines the four key elements (conjecturing about geometric objects, construction and evaluation of geometric…

  15. Patterns of reasoning and decision making about condom use by urban college students.

    Patel, V L; Gutnik, L A; Yoskowitz, N A; O'sullivan, L F; Kaufman, D R


    HIV infection rates are rapidly increasing among young heterosexuals, making it increasingly important to understand how these individuals make decisions regarding risk in sexual encounters. Our objective in this study was to characterize young adults' safer sex behaviour and associate this behaviour with patterns of reasoning, using cognitive, information processing methods to understand the process of sexual risk taking. Sixty urban college students from NYC maintained diaries for two weeks and then were interviewed regarding lifetime condom use and sexual history. Using cognitive analysis, we characterized four patterns of condom use behaviour: consistent condom use (35.0%), inconsistent condom use (16.7%), shifting from consistent to inconsistent condom use (35.0%), and shifting from inconsistent to consistent condom use (13.3%). Directionality of reasoning (i.e. data-driven and hypothesis-driven reasoning) was analysed in the explanations provided for condom use decisions. The consistent and inconsistent patterns of condom use were associated with data-driven heuristic reasoning, where behaviour becomes automated and is associated with a high level of confidence in one's judgment. In the other two patterns, the shift in behaviour was due to a significant event that caused a change in type of reasoning to explanation-based reasoning, reflecting feelings of uncertainty and willingness to evaluate their decisions. We discuss these results within the framework of identifying potentially high-risk groups (e.g. heterosexual young adults) as well as intervention strategies for risk reduction. Further, our findings not only identify different patterns of condom use behaviour, but our investigation of the cognitive process of decision-making characterizes the conditions under which such behaviour and reasoning change.

  16. The relationship between magical thinking, inferential confusion and obsessive-compulsive symptoms.

    Goods, N A R; Rees, C S; Egan, S J; Kane, R T


    Inferential confusion is an under-researched faulty reasoning process in obsessive-compulsive disorder (OCD). Based on an overreliance on imagined possibilities, it shares similarities with the extensively researched construct of thought-action fusion (TAF). While TAF has been proposed as a specific subset of the broader construct of magical thinking, the relationship between inferential confusion and magical thinking is unexplored. The present study investigated this relationship, and hypothesised that magical thinking would partially mediate the relationship between inferential confusion and obsessive-compulsive symptoms. A non-clinical sample of 201 participants (M = 34.94, SD = 15.88) were recruited via convenience sampling. Regression analyses found the hypothesised mediating relationship was supported, as magical thinking did partially mediate the relationship between inferential confusion and OC symptoms. Interestingly, inferential confusion had the stronger relationship with OC symptoms in comparison to the other predictor variables. Results suggest that inferential confusion can both directly and indirectly (via magical thinking) impact on OC symptoms. Future studies with clinical samples should further investigate these constructs to determine whether similar patterns emerge, as this may eventually inform which cognitive errors to target in treatment of OCD.

  17. An Analysis of the Associations among Cognitive Impulsiveness, Reasoning Process, and Rational Decision Making

    Jelihovschi, Ana P. G.; Cardoso, Ricardo L.; Linhares, Alexandre


    Impulsivity may lead to several unfortunate consequences and maladaptive behaviors for both clinical and nonclinical people. It has a key role in many forms of psychopathology. Although literature has discussed the negative impact of impulsivity, few have emphasized the relationship between cognitive impulsiveness and decision making. The aim of this study is to investigate the effects of cognitive impulsiveness on decision making and explore the strategies used by participants to solve problems. For this purpose, we apply two measures of impulsivity: the self-report Barratt Impulsiveness Scale (BIS-11) and the performance based Cognitive Reflection Test (CRT). Moreover, we evaluate participants' reasoning processes employed to answer CRT questions based on the calculation expressions, data organization, and erasures they made while answering the CRT (note that we utilized the instruments using pen and paper). These reasoning processes are related to the role of executive functions in decision making, and its relationship with impulsiveness. The sample consists of 191 adults, who were either professionals or undergraduate students from the fields of business, management, or accounting. The results show that cognitive impulsiveness may negatively affect decision making, and that those who presented the calculation to answer the CRT questions made better decisions. Moreover, there was no difference in the strategies used by impulsive vs. nonimpulsive participants during decision making. Finally, people who inhibited their immediate answers to CRT questions performed better during decision making. PMID:29375440

  18. An Analysis of the Associations among Cognitive Impulsiveness, Reasoning Process, and Rational Decision Making.

    Jelihovschi, Ana P G; Cardoso, Ricardo L; Linhares, Alexandre


    Impulsivity may lead to several unfortunate consequences and maladaptive behaviors for both clinical and nonclinical people. It has a key role in many forms of psychopathology. Although literature has discussed the negative impact of impulsivity, few have emphasized the relationship between cognitive impulsiveness and decision making. The aim of this study is to investigate the effects of cognitive impulsiveness on decision making and explore the strategies used by participants to solve problems. For this purpose, we apply two measures of impulsivity: the self-report Barratt Impulsiveness Scale (BIS-11) and the performance based Cognitive Reflection Test (CRT). Moreover, we evaluate participants' reasoning processes employed to answer CRT questions based on the calculation expressions, data organization, and erasures they made while answering the CRT (note that we utilized the instruments using pen and paper). These reasoning processes are related to the role of executive functions in decision making, and its relationship with impulsiveness. The sample consists of 191 adults, who were either professionals or undergraduate students from the fields of business, management, or accounting. The results show that cognitive impulsiveness may negatively affect decision making, and that those who presented the calculation to answer the CRT questions made better decisions. Moreover, there was no difference in the strategies used by impulsive vs. nonimpulsive participants during decision making. Finally, people who inhibited their immediate answers to CRT questions performed better during decision making.

  19. An Analysis of the Associations among Cognitive Impulsiveness, Reasoning Process, and Rational Decision Making

    Ana P. G. Jelihovschi


    Full Text Available Impulsivity may lead to several unfortunate consequences and maladaptive behaviors for both clinical and nonclinical people. It has a key role in many forms of psychopathology. Although literature has discussed the negative impact of impulsivity, few have emphasized the relationship between cognitive impulsiveness and decision making. The aim of this study is to investigate the effects of cognitive impulsiveness on decision making and explore the strategies used by participants to solve problems. For this purpose, we apply two measures of impulsivity: the self-report Barratt Impulsiveness Scale (BIS-11 and the performance based Cognitive Reflection Test (CRT. Moreover, we evaluate participants' reasoning processes employed to answer CRT questions based on the calculation expressions, data organization, and erasures they made while answering the CRT (note that we utilized the instruments using pen and paper. These reasoning processes are related to the role of executive functions in decision making, and its relationship with impulsiveness. The sample consists of 191 adults, who were either professionals or undergraduate students from the fields of business, management, or accounting. The results show that cognitive impulsiveness may negatively affect decision making, and that those who presented the calculation to answer the CRT questions made better decisions. Moreover, there was no difference in the strategies used by impulsive vs. nonimpulsive participants during decision making. Finally, people who inhibited their immediate answers to CRT questions performed better during decision making.

  20. A Serious Game for Teaching Nursing Students Clinical Reasoning and Decision-Making Skills.

    Johnsen, Hege Mari; Fossum, Mariann; Vivekananda-Schmidt, Pirashanthie; Fruhling, Ann; Slettebø, Åshild


    The aim of this study was to design and pilot-test a serious game for teaching nursing students clinical reasoning and decision-making skills in caring for patients with chronic obstructive pulmonary disease. A video-based serious game prototype was developed. A purposeful sample of six participants tested and evaluated the prototype. Usability issues were identified regarding functionality and user-computer interface. However, overall the serious game was perceived to be useful, usable and likable to use.

  1. Foundations for Reasoning in Cognition-Based Computational Representations of Human Decision Making; TOPICAL



    In exploring the question of how humans reason in ambiguous situations or in the absence of complete information, we stumbled onto a body of knowledge that addresses issues beyond the original scope of our effort. We have begun to understand the importance that philosophy, in particular the work of C. S. Peirce, plays in developing models of human cognition and of information theory in general. We have a foundation that can serve as a basis for further studies in cognition and decision making. Peircean philosophy provides a foundation for understanding human reasoning and capturing behavioral characteristics of decision makers due to cultural, physiological, and psychological effects. The present paper describes this philosophical approach to understanding the underpinnings of human reasoning. We present the work of C. S. Peirce, and define sets of fundamental reasoning behavior that would be captured in the mathematical constructs of these newer technologies and would be able to interact in an agent type framework. Further, we propose the adoption of a hybrid reasoning model based on his work for future computational representations or emulations of human cognition

  2. Performing Inferential Statistics Prior to Data Collection

    Trafimow, David; MacDonald, Justin A.


    Typically, in education and psychology research, the investigator collects data and subsequently performs descriptive and inferential statistics. For example, a researcher might compute group means and use the null hypothesis significance testing procedure to draw conclusions about the populations from which the groups were drawn. We propose an…

  3. Inferentialism and the Compositionality of Meaning

    Peregrin, Jaroslav


    Roč. 1, č. 1 (2009), s. 154-181 ISSN 1877-3095 R&D Projects: GA ČR(CZ) GA401/07/0904 Institutional research plan: CEZ:AV0Z90090514 Keywords : inferentialism * compositionality * semantics Subject RIV: AA - Philosophy ; Religion

  4. The Emergence of Probabilistic Reasoning in Very Young Infants: Evidence from 4.5- and 6-Month-Olds

    Denison, Stephanie; Reed, Christie; Xu, Fei


    How do people make rich inferences from such sparse data? Recent research has explored this inferential ability by investigating probabilistic reasoning in infancy. For example, 8- and 11-month-old infants can make inferences from samples to populations and vice versa (Denison & Xu, 2010a; Xu & Denison, 2009; Xu & Garcia, 2008a). The…

  5. Inferential misconceptions and replication crisis

    Norbert Hirschauer


    Full Text Available Misinterpretations of the p value and the introduction of bias through arbitrary analytical choices have been discussed in the literature for decades. Nonetheless, they seem to have persisted in empirical research, and criticisms of p value misuses have increased in the recent past due to the non-replicability of many studies. Unfortunately, the critical concerns that have been raised in the literature are scattered over many disciplines, often linguistically confusing, and differing in their main reasons for criticisms. Misuses and misinterpretations of the p value are currently being discussed intensely under the label “replication crisis” in many academic disciplines and journals, ranging from specialized scientific journals to Nature and Science. In a drastic response to the crisis, the editors of the journal Basic and Applied Social Psychology even decided to ban the use of p values from future publications at the beginning of 2015, a fact that has certainly added fuel to the discussions in the relevant scientific forums. Finally, in early March, the American Statistical Association released a brief formal statement on p values that explicitly addresses misuses and misinterpretations. In this context, we systematize the most serious flaws related to the p value and discuss suggestions of how to prevent them and reduce the rate of false discoveries in the future.

  6. Participatory research, people with intellectual disabilities and ethical approval: making reasonable adjustments to enable participation.

    Northway, Ruth; Howarth, Joyce; Evans, Lynne


    The aim of this paper is to explore how making reasonable adjustments to the process of securing ethical approval for research can facilitate the meaningful involvement of people with intellectual disabilities as members of a research team. This is achieved through critical reflection upon the approach taken within one participatory research study whose objective was to explore how people with intellectual disabilities understand abuse. Internationally participatory research studies (in which active involvement of community members in all stages of the research process is sought) are becoming increasingly common in the context of health care and, more specifically, within research involving people with intellectual disabilities. However, whilst it is acknowledged that participatory research gives rise to specific ethical challenges, how (or if) involvement in securing ethical approval is facilitated, is not discussed in most research reports. The significance of this paper is that it seeks to address this gap by exploring how meaningful participation can be promoted by making reasonable adjustments. Within the study, the research team worked in collaboration with the ethics committee to identify potential barriers that could prevent the participation of members of the research team who had intellectual disabilities. Reasonable adjustments (such as redesigning forms) were made to the processes involved in securing ethical approval. This study demonstrated that it is possible to ensure that ethical standards are upheld and the requirements of ethics committees met whilst also facilitating the meaningful involvement of people with intellectual disabilities. The reasonable adjustments approach explored within this paper can be translated into the context of clinical practice: making changes to the way that services are delivered can promote greater involvement of people with intellectual disabilities in their own health care. © 2014 John Wiley & Sons Ltd.

  7. Community ambulation: influences on therapists and clients reasoning and decision making.

    Corrigan, Rosemary; McBurney, Helen


    Community ambulation is an important element of a rehabilitation training programme and its achievement is a goal shared by rehabilitation professionals and clients. The factors that influence a physiotherapist's or health professionals decision making around the preparation of a client for community ambulation and the factors that influence a client's decision to return to walking in their community are unclear. To review the available literature about the factors that have influenced the reasoning and decision making of rehabilitation therapists and clients around the topic of ambulation in the community. Three separate searches of the available literature were undertaken using Ovid, Cinahl, ProQuest, Medline and Ebscohost databases. Databases were searched from 1966 to October 2006.The first search explored the literature for factors that influence the clinical reasoning of rehabilitation therapists. The second search explored the literature for factors that influence client's decision to ambulate in the community. A third search was undertaken to explore the literature for the demands of community ambulation in rural communities. Very few studies were found that explored community ambulation in the context of clinical reasoning and decision making, the facilitators and barriers to a clients return to ambulation in their community or the demands of ambulation in a rural community. Consideration of the environment is key to the successful return to walking in the community of clients with mobility problems yet little literature has been found to guide physiotherapist's decision making about preparing a clients to return to walking in the community. An individual's participation in their society is also a result of the interaction between their personal characteristics and his or her environment. The influence of these characteristics may vary from one individual to another yet the factors that influence a person's decision to return to walking in their community

  8. Clinical reasoning and population health: decision making for an emerging paradigm of health care.

    Edwards, Ian; Richardson, Barbara


    Chronic conditions now provide the major disease and disability burden facing humanity. This development has necessitated a reorientation in the practice skills of health care professions away from hospital-based inpatient and outpatient care toward community-based management of patients with chronic conditions. Part of this reorientation toward community-based management of chronic conditions involves practitioners' understanding and adoption of a concept of population health management based on appropriate theoretical models of health care. Drawing on recent studies of expertise in physiotherapy, this article proposes a clinical reasoning and decision-making framework to meet these challenges. The challenge of population and community-based management of chronic conditions also provides an opportunity for physiotherapists to further clarify a professional epistemology of practice that embraces the kinds of knowledge and clinical reasoning processes used in physiotherapy practice. Three case studies related to the management of chronic musculoskeletal pain in different populations are used to exemplify the range of epistemological perspectives that underpin community-based practice. They illustrate the link between conceptualizations of practice problems and knowledge sources that are used as a basis for clinical reasoning and decision making as practitioners are increasingly required to move between the clinic and the community.


    Zydziunaite, V; Suominen, T


    Abstract Background: Understanding the reasons and consequences of leadership styles in ethical dilemmas is fundamental to exploring nurse managers' abilities to influence outcomes for patients and nursing personnel. Purpose: To explain the associations between different leadership styles, reasons for their application and its consequences when nurse managers make decisions in ethical dilemmas. Methods: The data were collected between 15 October 2011 and 30 April 2012 by statistically validated questionnaire. The respondents (n=278) were nurse managers. The data were analyzed using SPSS 20.0, calculating Spearman's correlations, the Stepwise Regression and ANOVA. Results: The reasons for applying different leadership styles in ethical dilemmas include personal characteristics, years in work position, institutional factors, and the professional authority of nurse managers. The applied leadership styles in ethical dilemmas are associated with the consequences regarding the satisfaction of patients', relatives' and nurse managers' needs. Conclusions: Nurse managers exhibited leadership styles oriented to maintenance, focusing more on the "doing the job" than on managing the decision-making in ethical dilemmas.

  10. Analytic and heuristic processing influences on adolescent reasoning and decision-making.

    Klaczynski, P A


    The normative/descriptive gap is the discrepancy between actual reasoning and traditional standards for reasoning. The relationship between age and the normative/descriptive gap was examined by presenting adolescents with a battery of reasoning and decision-making tasks. Middle adolescents (N = 76) performed closer to normative ideals than early adolescents (N = 66), although the normative/descriptive gap was large for both groups. Correlational analyses revealed that (1) normative responses correlated positively with each other, (2) nonnormative responses were positively interrelated, and (3) normative and nonnormative responses were largely independent. Factor analyses suggested that performance was based on two processing systems. The "analytic" system operates on "decontextualized" task representations and underlies conscious, computational reasoning. The "heuristic" system operates on "contextualized," content-laden representations and produces "cognitively cheap" responses that sometimes conflict with traditional norms. Analytic processing was more clearly linked to age and to intelligence than heuristic processing. Implications for cognitive development, the competence/performance issue, and rationality are discussed.

  11. Chinese Adolescents' Reasoning about Democratic and Authority-Based Decision Making in Peer, Family, and School Contexts.

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


    This study explored judgments and reasoning of Chinese 13- to 18-year-olds regarding making decisions involving children in peer, family, and school contexts. Findings indicated that judgments and reasoning about decision-making varied by social context and by the decision under consideration. Evaluations of procedures became more differentiated…

  12. The Generality of Adult Development Stages and Transformations: Comparing Meaning-making and Logical Reasoning

    Tom Hagström


    Full Text Available Human development theories differ in “context sensitivity,” covering those stressing development stages and those stressing continuously progressing changes. The former theories differ in whether, how and why the stages are regarded as being generalized across domains, i.e. their generality claims. Piaget’s developmental stage theory of logical complexity of children and adolescents fulfill “strong” such claims, including fixed stage sequentiality of increasing complexity levels and higher stage structures integrating earlier ones. His theory has inspired a number of adult development stage theories with varying generality claims. These provide suggestions of stages and stage transitions reaching beyond “pure” cognition, integrating more of e.g. emotional, value and moral dimensions. From a neo-Piagetian perspective, core generality aspects seem to concern on the one hand logical reasoning and on the other hand meaning-making. This raises questions of how these aspects are related to each other in terms of stage structures and transformations. The aim of the article is to discern general features in adult development stage structures and transitions, in terms of logical reasoning and meaning making. This is carried out by a “thought experiment” interrelating two theories that differ in these respects but that are both based on Piaget’s theory, namely Robert Kegan’s constructive developmental Subject-Object Theory (SOT and Michael Common´s behaviouristic Model of Hierarchical Complexity (MHC. This comparing approach concerns the 3rd, 4th and 5th order of consciousness as well as transitions between these according to SOT, and order 9 to 12 and corresponding transitions according to MHC. The thought experiment indicates that the generality claims of both models can be argued for without one of them necessarily being subordinated to the other one. Both theories are interpreted as differing but partly overlapping structures of

  13. Reasoning, learning, and creativity: frontal lobe function and human decision-making.

    Anne Collins

    Full Text Available The frontal lobes subserve decision-making and executive control--that is, the selection and coordination of goal-directed behaviors. Current models of frontal executive function, however, do not explain human decision-making in everyday environments featuring uncertain, changing, and especially open-ended situations. Here, we propose a computational model of human executive function that clarifies this issue. Using behavioral experiments, we show that unlike others, the proposed model predicts human decisions and their variations across individuals in naturalistic situations. The model reveals that for driving action, the human frontal function monitors up to three/four concurrent behavioral strategies and infers online their ability to predict action outcomes: whenever one appears more reliable than unreliable, this strategy is chosen to guide the selection and learning of actions that maximize rewards. Otherwise, a new behavioral strategy is tentatively formed, partly from those stored in long-term memory, then probed, and if competitive confirmed to subsequently drive action. Thus, the human executive function has a monitoring capacity limited to three or four behavioral strategies. This limitation is compensated by the binary structure of executive control that in ambiguous and unknown situations promotes the exploration and creation of new behavioral strategies. The results support a model of human frontal function that integrates reasoning, learning, and creative abilities in the service of decision-making and adaptive behavior.

  14. Reasoning, learning, and creativity: frontal lobe function and human decision-making.

    Collins, Anne; Koechlin, Etienne


    The frontal lobes subserve decision-making and executive control--that is, the selection and coordination of goal-directed behaviors. Current models of frontal executive function, however, do not explain human decision-making in everyday environments featuring uncertain, changing, and especially open-ended situations. Here, we propose a computational model of human executive function that clarifies this issue. Using behavioral experiments, we show that unlike others, the proposed model predicts human decisions and their variations across individuals in naturalistic situations. The model reveals that for driving action, the human frontal function monitors up to three/four concurrent behavioral strategies and infers online their ability to predict action outcomes: whenever one appears more reliable than unreliable, this strategy is chosen to guide the selection and learning of actions that maximize rewards. Otherwise, a new behavioral strategy is tentatively formed, partly from those stored in long-term memory, then probed, and if competitive confirmed to subsequently drive action. Thus, the human executive function has a monitoring capacity limited to three or four behavioral strategies. This limitation is compensated by the binary structure of executive control that in ambiguous and unknown situations promotes the exploration and creation of new behavioral strategies. The results support a model of human frontal function that integrates reasoning, learning, and creative abilities in the service of decision-making and adaptive behavior.

  15. Heuristic reasoning and cognitive biases: Are they hindrances to judgments and decision making in orthodontics?

    Hicks, E Preston; Kluemper, G Thomas


    Studies show that our brains use 2 modes of reasoning: heuristic (intuitive, automatic, implicit processing) and analytic (deliberate, rule-based, explicit processing). The use of intuition often dominates problem solving when innovative, creative thinking is required. Under conditions of uncertainty, we default to an even greater reliance on the heuristic processing. In health care settings and other such environments of increased importance, this mode becomes problematic. Since choice heuristics are quickly constructed from fragments of memory, they are often biased by prior evaluations of and preferences for the alternatives being considered. Therefore, a rigorous and systematic decision process notwithstanding, clinical judgments under uncertainty are often flawed by a number of unwitting biases. Clinical orthodontics is as vulnerable to this fundamental failing in the decision-making process as any other health care discipline. Several of the more common cognitive biases relevant to clinical orthodontics are discussed in this article. By raising awareness of these sources of cognitive errors in our clinical decision making, our intent was to equip the clinician to take corrective action to avoid them. Our secondary goal was to expose this important area of empirical research and encourage those with expertise in the cognitive sciences to explore, through further research, the possible relevance and impact of cognitive heuristics and biases on the accuracy of orthodontic judgments and decision making. Copyright © 2011 American Association of Orthodontists. Published by Mosby, Inc. All rights reserved.

  16. Reasoning and Action: Implementation of a Decision-Making Program in Sport.

    Gil-Arias, Alexander; Moreno, M Perla; García-Mas, Alex; Moreno, Alberto; García-González, Luíz; Del Villar, Fernando


    The objective of this study was to apply a decision training programme, based on the use of video-feedback and questioning, in real game time, in order to improve decision-making in volleyball attack actions. A three-phase quasi-experimental design was implemented: Phase A (pre-test), Phase B (Intervention) and Phase C (Retention). The sample was made up of 8 female Under-16 volleyball players, who were divided into two groups: experimental group (n = 4) and control group (n = 4). The independent variable was the decision training program, which was applied for 11 weeks in a training context, more specifically in a 6x6 game situation. The player had to analyze the reasons and causes of the decision taken. The dependent variable was decision-making, which was assessed based on systematic observation, using the "Game Performance Assessment Instrument" (GPAI) (Oslin, Mitchell, & Griffin, 1998). Results showed that, after applying the decision training program, the experimental group showed a significantly higher average percentage of successful decisions than the control group F(1, 6) = 11.26; p = .015; η2 p = .652; 95% CI [056, 360]. These results highlight the need to complement the training process with cognitive tools such as video-feedback and questioning in order to improve athletes' decision-making.

  17. Methodology for making environmental as low as reasonably achievable (ALARA) determinations

    Brown, R.C.; Speer, D.R.


    An overall evaluation concept for use in making differential cost-benefit analyses in environmental as low as reasonably achievable (ALARA) determinations is being implemented by Rockwell Hanford Operations. This evaluation includes consideration of seven categories: (1) capital costs; (2) operating costs; (3) state of the art; (4) safety; (5) accident or upset consequences; (6) reliability, operability, and maintainability; and (7) decommissionability. Appropriate weighting factors for each of these categories are under development so that ALARA determinations can be made by comparing scores of alternative proposals for facility design, operations, and upgrade. This method of evaluation circumvents the traditional basis of a stated monetary sum per person-rem of dose commitment. This alternative was generated by advice from legal counsel who advised against formally pursuing this avenue of approach to ALARA for environmental and occupational dose commitments

  18. Reasoning, evidence, and clinical decision-making: The great debate moves forward.

    Loughlin, Michael; Bluhm, Robyn; Buetow, Stephen; Borgerson, Kirstin; Fuller, Jonathan


    When the editorial to the first philosophy thematic edition of this journal was published in 2010, critical questioning of underlying assumptions, regarding such crucial issues as clinical decision making, practical reasoning, and the nature of evidence in health care, was still derided by some prominent contributors to the literature on medical practice. Things have changed dramatically. Far from being derided or dismissed as a distraction from practical concerns, the discussion of such fundamental questions, and their implications for matters of practical import, is currently the preoccupation of some of the most influential and insightful contributors to the on-going evidence-based medicine debate. Discussions focus on practical wisdom, evidence, and value and the relationship between rationality and context. In the debate about clinical practice, we are going to have to be more explicit and rigorous in future in developing and defending our views about what is valuable in human life. © 2017 John Wiley & Sons, Ltd.

  19. Visual analytics in medical education: impacting analytical reasoning and decision making for quality improvement.

    Vaitsis, Christos; Nilsson, Gunnar; Zary, Nabil


    The medical curriculum is the main tool representing the entire undergraduate medical education. Due to its complexity and multilayered structure it is of limited use to teachers in medical education for quality improvement purposes. In this study we evaluated three visualizations of curriculum data from a pilot course, using teachers from an undergraduate medical program and applying visual analytics methods. We found that visual analytics can be used to positively impacting analytical reasoning and decision making in medical education through the realization of variables capable to enhance human perception and cognition on complex curriculum data. The positive results derived from our evaluation of a medical curriculum and in a small scale, signify the need to expand this method to an entire medical curriculum. As our approach sustains low levels of complexity it opens a new promising direction in medical education informatics research.

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

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


    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.

  1. Methods of legitimation: how ethics committees decide which reasons count in public policy decision-making.

    Edwards, Kyle T


    In recent years, liberal democratic societies have struggled with the question of how best to balance expertise and democratic participation in the regulation of emerging technologies. This study aims to explain how national deliberative ethics committees handle the practical tension between scientific expertise, ethical expertise, expert patient input, and lay public input by explaining two institutions' processes for determining the legitimacy or illegitimacy of reasons in public policy decision-making: that of the United Kingdom's Human Fertilisation and Embryology Authority (HFEA) and the United States' American Society for Reproductive Medicine (ASRM). The articulation of these 'methods of legitimation' draws on 13 in-depth interviews with HFEA and ASRM members and staff conducted in January and February 2012 in London and over Skype, as well as observation of an HFEA deliberation. This study finds that these two institutions employ different methods in rendering certain arguments legitimate and others illegitimate: while the HFEA attempts to 'balance' competing reasons but ultimately legitimizes arguments based on health and welfare concerns, the ASRM seeks to 'filter' out arguments that challenge reproductive autonomy. The notably different structures and missions of each institution may explain these divergent approaches, as may what Sheila Jasanoff (2005) terms the distinctive 'civic epistemologies' of the US and the UK. Significantly for policy makers designing such deliberative committees, each method differs substantially from that explicitly or implicitly endorsed by the institution. Copyright © 2014 Elsevier Ltd. All rights reserved.

  2. An Intuitionistic Fuzzy Stochastic Decision-Making Method Based on Case-Based Reasoning and Prospect Theory

    Peng Li


    Full Text Available According to the case-based reasoning method and prospect theory, this paper mainly focuses on finding a way to obtain decision-makers’ preferences and the criterion weights for stochastic multicriteria decision-making problems and classify alternatives. Firstly, we construct a new score function for an intuitionistic fuzzy number (IFN considering the decision-making environment. Then, we aggregate the decision-making information in different natural states according to the prospect theory and test decision-making matrices. A mathematical programming model based on a case-based reasoning method is presented to obtain the criterion weights. Moreover, in the original decision-making problem, we integrate all the intuitionistic fuzzy decision-making matrices into an expectation matrix using the expected utility theory and classify or rank the alternatives by the case-based reasoning method. Finally, two illustrative examples are provided to illustrate the implementation process and applicability of the developed method.


    N. Novianawati


    Full Text Available This study aims to determine students’ decision making strategy to answer TIMSS science reasoning test in cognitive reasoning domain. This research is quantitative descriptive research. The result shows that students tend to use compensatory strategy for decision making in solving multiple-choice questions and use rational category to answer essay questions. The result shows that more than half of students have been able to answer the questions TIMSS science tests correctly.

  4. Embodied Feeling and Reason in Decision-Making: Assessing the Somatic-Marker Hypothesis

    Warren TenHouten


    Full Text Available Whether or not reason and affect are complementary depends on the task at hand. In ordinary circumstances, problemsolving and decision-making involve both somatic feelings and limbic-structure-based emotions. Feelings, experienced as states of the body, can contribute to decision-making by triggering heuristic cues and rapidly eliminating negative behavioral alternatives, in part by providing what Damasio call somatic markers (Damasio, Tranel and Damasio, 1991; Damasio, 1994, 1999, 2003. However, if task-performance is motivated by potentially large rewards, with high demands on short-term memory and on concentration, the dorsolateral prefrontal cortexcan inhibit affects manifested in the medial prefrontal cortex in order to carry out the necessary cognitive operations. We interpret these two different mental task situations using dual process models. Although experimental evidence from studies of normal subjects and frontal-lobe-damaged patients performing the Iowa Gambling Task has been interpreted as supportive of the somatic-marker hypothesis (SMH, we show that this evidence has been called into question due to faulty study designs. However, studies of normal and psychopathic subjects playing the ultimatum game show that pulse-rate deceleration occurring during the brief period preceding decision-making constitutes a somatic marker. Compared to normal controls, psychopaths show less somatic (electro dermal activity and act with cool, economic rationality, accepting unfair (<50/50 offers that normal subjects reject on the basis of non-economic values of fairness. The somatic-marker hypothesis is discussed and criticized, and various theories based on this hypothesis are identified.

  5. The Role of Moral Reasoning and Order Effects on Ethical Decision Making Ability: Novice vs. Experienced Accounting Students

    Pillalamarri, Sudarshan Kumar; Holm, Claus

    that novice accounting students cannot differentiate between these two types of reasoning, but would exhibit order effects while making ethical decisions. One hundred forty graduate accounting students from universities in Denmark respond to an audit-specific DIT instrument, measuring prescriptive...... investigates the order effects of presentation of dilemmas on ethical decision making ability of novice and experienced accounting students. Rest (1979, 1983, 1991) categorizes moral reasoning into prescriptive reasoning i.e. consideration of what should ideally be done to resolve a particular ethical dilemma...... and deliberative reasoning i.e. consideration of what would actually be done in resolving ethical dilemmas. Because of lack of work experience, novice accounting students often do not face scenarios where there is a difference between their prescriptive and deliberative reasoning. This study hypothesizes...

  6. The use of emotional intelligence capabilities in clinical reasoning and decision-making: A qualitative, exploratory study.

    Hutchinson, Marie; Hurley, John; Kozlowski, Desirée; Whitehair, Leeann


    To explore clinical nurses' experiences of using emotional intelligence capabilities during clinical reasoning and decision-making. There has been little research exploring whether, or how, nurses employ emotional intelligence (EI) in clinical reasoning and decision-making. Qualitative phase of a larger mixed-methods study. Semistructured qualitative interviews with a purposive sample of registered nurses (n = 12) following EI training and coaching. Constructivist thematic analysis was employed to analyse the narrative transcripts. Three themes emerged: the sensibility to engage EI capabilities in clinical contexts, motivation to actively engage with emotions in clinical decision-making and incorporating emotional and technical perspectives in decision-making. Continuing to separate cognition and emotion in research, theorising and scholarship on clinical reasoning is counterproductive. Understanding more about nurses' use of EI has the potential to improve the calibre of decisions, and the safety and quality of care delivered. © 2017 John Wiley & Sons Ltd.

  7. Patterns of informal reasoning in the context of socioscientific decision making

    Sadler, Troy D.; Zeidler, Dana L.


    The purpose of this study is to contribute to a theoretical knowledge base through research by examining factors salient to science education reform and practice in the context of socioscientific issues. The study explores how individuals negotiate and resolve genetic engineering dilemmas. A qualitative approach was used to examine patterns of informal reasoning and the role of morality in these processes. Thirty college students participated individually in two semistructured interviews designed to explore their informal reasoning in response to six genetic engineering scenarios. Students demonstrated evidence of rationalistic, emotive, and intuitive forms of informal reasoning. Rationalistic informal reasoning described reason-based considerations; emotive informal reasoning described care-based considerations; and intuitive reasoning described considerations based on immediate reactions to the context of a scenario. Participants frequently relied on combinations of these reasoning patterns as they worked to resolve individual socioscientific scenarios. Most of the participants appreciated at least some of the moral implications of their decisions, and these considerations were typically interwoven within an overall pattern of informal reasoning. These results highlight the need to ensure that science classrooms are environments in which intuition and emotion in addition to reason are valued. Implications and recommendations for future research are discussed.

  8. Situated meaning-making of the human body: a study of elementary school children's reasons in two different activities

    Lundin, Mattias; Jakobson, Britt


    In this text we compare children's expressions in drawings to their statements during interviews, for the purpose of understanding how different situations afford children to make meaning. In specific we study how two different activities interact and afford children to make meaning differently about the human body. The analytic attention is drawn to the meaning-making the children made as they in pairs were asked to explain the body drawings that they did prior to the interviews. Meaning-making was studied by using a practical epistemology analysis, an analysis facilitating understanding of how relations are established in a developing conversation, and more generally providing understanding from a child perspective. The results indicate that several reasons are at hand for children in the two different situations; namely, social, artistic, practical, empirical and memory reasons are identified. Social reasons refer to statements belonging to the social context and items that were described as inappropriate to express. Artistic reasons were interpreted from aesthetic judgements, referring to the artistic quality of the drawing. Practical reasons were given in situations where children expressed, for example, that the space limited their opportunities to draw. Empirical reasons are built on children's statements referring to picture items that are identified by pointing or touching their own body. Memory reasons are involved in all the situations where children explained items were previously omitted, because the body part had been temporarily forgotten. Furthermore, we suggest that children interpret situational aspects and make judgements concerning the relevance of their different reasons. By these means we hope to facilitate children's understanding of interview questions and also to improve researchers' understanding of children's ability to grasp relevant details prior to their response (or participation).

  9. Natural-Born Arguers: Teaching How to Make the Best of Our Reasoning Abilities

    Mercier, Hugo; Boudry, Maarten; Paglieri, Fabio; Trouche, Emmanuel


    We summarize the argumentative theory of reasoning, which claims that the main function of reasoning is to argue. In this theory, argumentation is seen as being essentially cooperative (people have to listen to others' arguments and be ready to change their mind) but with an adversarial dimension (their goal as argument producers is to convince).…

  10. Race and Ethical Reasoning: The Importance of Race to Journalistic Decision Making.

    Coleman, Renita


    Investigates the effects of race of news subjects on student journalists' ethical reasoning. Explains that journalism students were presented with four ethical dilemmas that working journalists might encounter. Concludes that the race of the people in the ethical dilemmas presented had a significant impact on ethical reasoning. (PM)

  11. Analytic and Heuristic Processing Influences on Adolescent Reasoning and Decision-Making.

    Klaczynski, Paul A.


    Examined the relationship between age and the normative/descriptive gap--the discrepancy between actual reasoning and traditional standards for reasoning. Found that middle adolescents performed closer to normative ideals than early adolescents. Factor analyses suggested that performance was based on two processing systems, analytic and heuristic…

  12. Teaching Statistics in Middle School Mathematics Classrooms: Making Links with Mathematics but Avoiding Statistical Reasoning

    Savard, Annie; Manuel, Dominic


    Statistics is a domain that is taught in Mathematics in all school levels. We suggest a potential in using an interdisciplinary approach with this concept. Thus the development of the understanding of a situation might mean to use both mathematical and statistical reasoning. In this paper, we present two case studies where two middle school…

  13. Mapping Students' Modes of Reasoning When Thinking about Chemical Reactions Used to Make a Desired Product

    Weinrich, M. L.; Talanquer, V.


    The central goal of this study was to analyze the complexity of students' explanations about how and why chemical reactions happen in terms of the types of causal connections students built between expressed concepts and ideas. We were particularly interested in characterizing differences in the types of reasoning applied by students with…

  14. Reasoning and mathematical skills contribute to normatively superior decision making under risk: evidence from the game of dice task.

    Pertl, Marie-Theres; Zamarian, Laura; Delazer, Margarete


    In this study, we assessed to what extent reasoning improves performance in decision making under risk in a laboratory gambling task (Game of Dice Task-Double, GDT-D). We also investigated to what degree individuals with above average mathematical competence decide better than those with average mathematical competence. Eighty-five participants performed the GDT-D and several numerical tasks. Forty-two individuals were asked to calculate the probabilities and the outcomes associated with the different options of the GDT-D before performing it. The other 43 individuals performed the GDT-D at the beginning of the test session. Both reasoning and mathematical competence had a positive effect on decision making. Different measures of mathematical competence correlated with advantageous performance in decision making. Results suggest that decision making under explicit risk conditions improves when individuals are encouraged to reflect about the contingencies of a decision situation. Interventions based on numerical reasoning may also be useful for patients with difficulties in decision making.

  15. The role of working memory in inferential sentence comprehension.

    Pérez, Ana Isabel; Paolieri, Daniela; Macizo, Pedro; Bajo, Teresa


    Existing literature on inference making is large and varied. Trabasso and Magliano (Discourse Process 21(3):255-287, 1996) proposed the existence of three types of inferences: explicative, associative and predictive. In addition, the authors suggested that these inferences were related to working memory (WM). In the present experiment, we investigated whether WM capacity plays a role in our ability to answer comprehension sentences that require text information based on these types of inferences. Participants with high and low WM span read two narratives with four paragraphs each. After each paragraph was read, they were presented with four true/false comprehension sentences. One required verbatim information and the other three implied explicative, associative and predictive inferential information. Results demonstrated that only the explicative and predictive comprehension sentences required WM: participants with high verbal WM were more accurate in giving explanations and also faster at making predictions relative to participants with low verbal WM span; in contrast, no WM differences were found in the associative comprehension sentences. These results are interpreted in terms of the causal nature underlying these types of inferences.

  16. Spatio-Temporal Neural Networks for Vision, Reasoning and Rapid Decision Making


    sports, art, and music trivia ; and our models of social and strengths and weaknesses. Typically, a node in a connec- civic interactions. tionist...connectionist interface that allows two phase-based modules, each with its own phase structure, 10.3. Now are phase recycle ? to exchange binding...interlinked chains of reasoning are required. In such cases, the set of entities in "focus’ must keep changing dynamically, recycling the available

  17. Inferential Role and the Ideal of Deductive Logic

    Thomas Hofweber


    Full Text Available Although there is a prima facie strong case for a close connection between the meaning and inferential role of certain expressions, this connection seems seriously threatened by the semantic and logical paradoxes which rely on these inferential roles. Some philosophers have drawn radical conclusions from the paradoxes for the theory of meaning in general, and for which sentences in our language are true. I criticize these overreactions, and instead propose to distinguish two conceptions of inferential role. This distinction is closely tied to two conceptions of deductive logic, and it is the key, I argue, for understanding first the connection between meaning and inferential role, and second what the paradoxes show more generally.

  18. Beyond the Story Map: Inferential Comprehension via Character Perspective

    McTigue, Erin; Douglass, April; Wright, Katherine L.; Hodges, Tracey S.; Franks, Amanda D.


    Inferential comprehension requires both emotional intelligence and cognitive skills, however instructional comprehension strategies typically underemphasize the emotional contribution. This article documents an intervention used by diverse third grade students which centers on teaching story comprehension through character perspective-taking…

  19. Toward a Unified Theory of Human Reasoning.

    Sternberg, Robert J.


    The goal of this unified theory of human reasoning is to specify what constitutes reasoning and to characterize the psychological distinction between inductive and deductive reasoning. The theory views reasoning as the controlled and mediated application of three processes (encoding, comparison and selective combination) to inferential rules. (JAZ)

  20. Reason, emotion and decision-making: risk and reward computation with feeling

    Quartz, Steven R.


    Many models of judgment and decision-making posit distinct cognitive and emotional contributions to decision-making under uncertainty. Cognitive processes typically involve exact computations according to a cost-benefit calculus, whereas emotional processes typically involve approximate, heuristic processes that deliver rapid evaluations without mental effort. However, it remains largely unknown what specific parameters of uncertain decision the brain encodes, the extent to which these parame...

  1. An Analysis of the Associations among Cognitive Impulsiveness, Reasoning Process, and Rational Decision Making

    Jelihovschi, Ana P. G.; Cardoso, Ricardo L.; Linhares, Alexandre


    Impulsivity may lead to several unfortunate consequences and maladaptive behaviors for both clinical and nonclinical people. It has a key role in many forms of psychopathology. Although literature has discussed the negative impact of impulsivity, few have emphasized the relationship between cognitive impulsiveness and decision making. The aim of this study is to investigate the effects of cognitive impulsiveness on decision making and explore the strategies used by participants to solve probl...

  2. Reason, emotion and decision-making: risk and reward computation with feeling.

    Quartz, Steven R


    Many models of judgment and decision-making posit distinct cognitive and emotional contributions to decision-making under uncertainty. Cognitive processes typically involve exact computations according to a cost-benefit calculus, whereas emotional processes typically involve approximate, heuristic processes that deliver rapid evaluations without mental effort. However, it remains largely unknown what specific parameters of uncertain decision the brain encodes, the extent to which these parameters correspond to various decision-making frameworks, and their correspondence to emotional and rational processes. Here, I review research suggesting that emotional processes encode in a precise quantitative manner the basic parameters of financial decision theory, indicating a reorientation of emotional and cognitive contributions to risky choice.


    Parfit, Derek


    Sidgwick believed that, when impartial reasons conflict with self-interested reasons, there are no truths about their relative strength. There are such truths, I claim, but these truths are imprecise. Many self-interested reasons are decisively outweighed by conflicting impar-tial moral reasons. But we often have sufficient self-interested reasons to do what would make things go worse, and we sometimes have sufficient self-interested reasons to act wrongly. If we reject Act Consequentialism, ...

  4. Overriding Moral Intuitions – Does It Make Us Immoral? Dual-Process Theory of Higher Cognition Account for Moral Reasoning

    Michał Białek; Simon J. Handley


    Moral decisions are considered as an intuitive process, while conscious reasoning is mostly used only to justify those intuitions. This problem is described in few different dual-process theories of mind, that are being developed e.g. by Frederick and Kahneman, Stanovich and Evans. Those theories recently evolved into tri-process theories with a proposed process that makes ultimate decision or allows to paraformal processing with focal bias.. Presented experiment compares...

  5. Do Cross-Sectional Student Assessment Data Make a Reasonable Proxy for Longitudinal Data?

    Yorke, Mantz; Zaitseva, Elena


    Student performance data from a post-92 university in the United Kingdom showed that, for a substantial minority of programmes, there was a general dip in marks between Years 1 and 2. Longitudinal and cross-sectional data were analysed in order to ascertain whether the latter (with its advantage of a more rapid production of results) would make an…

  6. Optimization as a Reasoning Strategy for Dealing with Socioscientific Decision-Making Situations

    Papadouris, Nicos


    This paper reports on an attempt to help 12-year-old students develop a specific optimization strategy for selecting among possible solutions in socioscientific decision-making situations. We have developed teaching and learning materials for elaborating this strategy, and we have implemented them in two intact classes (N = 48). Prior to and after…

  7. Students' Reasoning Processes in Making Decisions about an Authentic, Local Socio-Scientific Issue: Bat Conservation

    Lee, Yeung Chung; Grace, Marcus


    Education for scientific literacy entails the development of scientific knowledge and the ability to apply this knowledge and value judgments to decisions about real-life issues. This paper reports an attempt to involve secondary level biology students in making decisions about an authentic socio-scientific issue--that of bat conservation--through…

  8. Inferential smart sensing for feedwater flowrate in PWRs

    Na, M. G.; Hwang, I. J.; Lee, Y. J.


    The feedwater flowrate that is measured by Venturi flow meters in most pressurized water reactors can be over-measured because of the fouling phenomena that make corrosion products accumulate in the Venturi meters. Therefore, in this work, two kinds of methods, a support vector regression method and a fuzzy modeling method, combined with a sequential probability ratio test, are used in order to accurately estimate online the feedwater flowrate, and also to monitor the status of the existing hardware sensors. Also, the data for training the support vector machines and the fuzzy model are selected by using a subtractive clustering scheme to use informative data from among all acquired data. The proposed inferential sensing and monitoring algorithm is verified by using the acquired real plant data of Yonggwang Nuclear Power Plant Unit 3. In the simulations, it was known that the root mean squared error and the relative maximum error are so small and the proposed method early detects the degradation of an existing hardware sensor. (authors)

  9. Making College Count: An Examination of Quantitative Reasoning Activities in Higher Education

    Louis M. Rocconi


    Full Text Available Findings from national studies along with more frequent calls from those who employ college graduates suggest an urgent need for colleges and universities to increase opportunities for students to develop quantitative reasoning (QR skills. To address this issue, the current study examines the relationship between the frequency of QR activities during college and student and institutional characteristics, as well as whether students at institutions with an emphasis on QR (at least one QR course requirement for all students report more QR activity. Results show that gender, race-ethnicity, major, full-time status, first-generation status, age, institutional enrollment size, and institutional control are related to the frequency of QR activities. Findings also suggest that such activities are indeed more common among institutions that emphasize QR.

  10. Defining reasonable patient standard and preference for shared decision making among patients undergoing anaesthesia in Singapore.

    Yek, J L J; Lee, A K Y; Tan, J A D; Lin, G Y; Thamotharampillai, T; Abdullah, H R


    A cross-sectional study to ascertain what the Singapore population would regard as material risk in the anaesthesia consent-taking process and identify demographic factors that predict patient preferences in medical decision-making to tailor a more patient-centered informed consent. A survey was performed involving patients 21 years old and above who attended the pre-operative evaluation clinic over a 1-month period in Singapore General Hospital. Questionnaires were administered to assess patients' perception of material risks, by trained interviewers. Patients' demographics were obtained. Mann-Whitney U test and Kruskal-Wallis one-way analysis of variance was used. Statistical significance was taken at p participate and 24 were excluded due to language barrier. 364 patients were recruited. A higher level of education (p participation in medical decisions. Gender, marital status, type of surgery, and previous surgical history did not affect their level of participation. The complications most patients knew about were Nausea (64.8%), Drowsiness (62.4%) and Surgical Wound Pain (58.8%). Patients ranked Heart Attack (59.3%), Death (53.8%) and Stroke (52.7%) as the most significant risks that they wanted to be informed about in greater detail. Most patients wanted to make a joint decision with the anaesthetist (52.2%), instead of letting the doctor decide (37.1%) or deciding for themselves (10.7%). Discussion with the anaesthetist (61.3%) is the preferred medium of communication compared to reading a pamphlet (23.4%) or watching a video (15.4%). Age and educational level can influence medical decision-making. Despite the digital age, most patients still prefer a clinic consult instead of audio-visual multimedia for pre-operative anaesthetic counselling. The local population appears to place greater importance on rare but serious complications compared to common complications. This illustrates the need to contextualize information provided during informed consent to

  11. Ethical issues in sports medicine: a review and justification for ethical decision making and reasoning.

    Greenfield, Bruce H; West, Charles Robert


    Ethical issues present a challenge for health care professionals working with athletes of sports teams. Health care professionals-including the team physician, the physical therapist, and the athletic trainer-are faced with the challenge of returning an athlete to competition as quickly as possible but as safely as possible. Conflicts of interest arise due to conflicting obligations of the team physician to the athlete and other members of the sports organization, including coaches and the team owner. The multiple stakeholders involved in sports teams challenge the traditional notion of confidentiality and autonomy. The aims of this article are to explicate the ethics of sports medicine, highlight the ethical issues, and provide some strategies and suggestions for ethical decision making.

  12. A Response to White and Gorard: Against Inferential Statistics: How and Why Current Statistics Teaching Gets It Wrong

    Nicholson, James; Ridgway, Jim


    White and Gorard make important and relevant criticisms of some of the methods commonly used in social science research, but go further by criticising the logical basis for inferential statistical tests. This paper comments briefly on matters we broadly agree on with them and more fully on matters where we disagree. We agree that too little…

  13. [Inferential evaluation of intimacy based on observation of interpersonal communication].

    Kimura, Masanori


    How do people inferentially evaluate others' levels of intimacy with friends? We examined the inferential evaluation of intimacy based on the observation of interpersonal communication. In Experiment 1, participants (N = 41) responded to questions after observing conversations between friends. Results indicated that participants inferentially evaluated not only goodness of communication, but also intimacy between friends, using an expressivity heuristic approach. In Experiment 2, we investigated how inferential evaluation of intimacy was affected by prior information about relationships and by individual differences in face-to-face interactional ability. Participants (N = 64) were divided into prior- and no-prior-information groups and all performed the same task as in Experiment 1. Additionally, their interactional ability was assessed. In the prior-information group, individual differences had no effect on inferential evaluation of intimacy. On the other hand, in the no-prior-information group, face-to-face interactional ability partially influenced evaluations of intimacy. Finally, we discuss the fact that to understand one's social environment, it is important to observe others' interpersonal communications.

  14. The tale of hearts and reason: the influence of mood on decision making.

    Laborde, Sylvain; Raab, Markus


    In decision-making research, one important aspect of real-life decisions has so far been neglected: the mood of the decision maker when generating options. The authors tested the use of the take-the-first (TTF) heuristic and extended the TTF model to understand how mood influences the option-generation process of individuals in two studies, the first using a between-subjects design (30 nonexperts, 30 near-experts, and 30 experts) and the second conceptually replicating the first using a within-subject design (30 nonexperts). Participants took part in an experimental option-generation task, with 31 three-dimensional videos of choices in team handball. Three moods were elicited: positive, neutral, and negative. The findings (a) replicate previous results concerning TTF and (b) show that the option-generation process was associated with the physiological component of mood, supporting the neurovisceral integration model. The extension of TTF to processing emotional factors is an important step forward in explaining fast choices in real-life situations.

  15. The Effects of Emotive Reasoning on Secondary School Students' Decision-Making in the Context of Socioscientific Issues

    Powell, Wardell A.

    The discrepancy between what students are being taught within K-12 science classrooms and what they experience in the real world has been well documented. This study sought to explore the ways a high school biology curriculum, which integrates socioscientific issues, impacts students' emotive reasoning and their ability to evaluate evidence, make informed decisions on contemporary scientific dilemmas, and integrate scientific content knowledge in their reasoning on SSI. Both quantitative and qualitative methods were used to examine differences within and between an SSI treatment group and a comparison group as well as individual differences among students' responses over a semester of high school biology. Results indicated students used emotions largely to evaluate evidence and make decisions on contentious scientific dilemmas. In addition, the results showed students used newly gained scientific content knowledge to make logical predictions on contentious scientific issues. Statistical significance was found between groups of students in regard to their interest in the use of embryonic stem cell treatments to restore rats' vision, as well as students' abilities to evaluate evidence. Theoretical implications regarding the use of SSI in the classroom are presented.

  16. Making Inferences: Comprehension of Physical Causality, Intentionality, and Emotions in Discourse by High-Functioning Older Children, Adolescents, and Adults with Autism

    Bodner, Kimberly E.; Engelhardt, Christopher R.; Minshew, Nancy J.; Williams, Diane L.


    Studies investigating inferential reasoning in autism spectrum disorder (ASD) have focused on the ability to make socially-related inferences or inferences more generally. Important variables for intervention planning such as whether inferences depend on physical experiences or the nature of social information have received less consideration. A…

  17. Inferentialism in mathematics education : introduction to a special issue

    Bakker, Arthur; Hußmann, Stephan


    Inferentialism, as developed by the philosopher Robert Brandom (1994, 2000), is a theory of meaning. The theory has wide-ranging implications in various fields but this special issue concentrates on the use and content of concepts. The key idea, relevant to mathematics education research, is that

  18. Logical reasoning versus information processing in the dual-strategy model of reasoning.

    Markovits, Henry; Brisson, Janie; de Chantal, Pier-Luc


    One of the major debates concerning the nature of inferential reasoning is between counterexample-based strategies such as mental model theory and statistical strategies underlying probabilistic models. The dual-strategy model, proposed by Verschueren, Schaeken, & d'Ydewalle (2005a, 2005b), which suggests that people might have access to both kinds of strategy has been supported by several recent studies. These have shown that statistical reasoners make inferences based on using information about premises in order to generate a likelihood estimate of conclusion probability. However, while results concerning counterexample reasoners are consistent with a counterexample detection model, these results could equally be interpreted as indicating a greater sensitivity to logical form. In order to distinguish these 2 interpretations, in Studies 1 and 2, we presented reasoners with Modus ponens (MP) inferences with statistical information about premise strength and in Studies 3 and 4, naturalistic MP inferences with premises having many disabling conditions. Statistical reasoners accepted the MP inference more often than counterexample reasoners in Studies 1 and 2, while the opposite pattern was observed in Studies 3 and 4. Results show that these strategies must be defined in terms of information processing, with no clear relations to "logical" reasoning. These results have additional implications for the underlying debate about the nature of human reasoning. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  19. Teaching clinical reasoning and decision-making skills to nursing students: Design, development, and usability evaluation of a serious game.

    Johnsen, Hege Mari; Fossum, Mariann; Vivekananda-Schmidt, Pirashanthie; Fruhling, Ann; Slettebø, Åshild


    Serious games (SGs) are a type of simulation technology that may provide nursing students with the opportunity to practice their clinical reasoning and decision-making skills in a safe and authentic environment. Despite the growing number of SGs developed for healthcare professionals, few SGs are video based or address the domain of home health care. This paper aims to describe the design, development, and usability evaluation of a video based SG for teaching clinical reasoning and decision-making skills to nursing students who care for patients with chronic obstructive pulmonary disease (COPD) in home healthcare settings. A prototype SG was developed. A unified framework of usability called TURF (Task, User, Representation, and Function) and SG theory were employed to ensure a user-centered design. The educational content was based on the clinical decision-making model, Bloom's taxonomy, and a Bachelor of Nursing curriculum. A purposeful sample of six participants evaluated the SG prototype in a usability laboratory. Cognitive walkthrough evaluations, a questionnaire, and individual interviews were used for the usability evaluation. The data were analyzed using qualitative deductive content analysis based on the TURF framework elements and related usability heuristics. The SG was perceived as being realistic, clinically relevant, and at an adequate level of complexity for the intended users. Usability issues regarding functionality and the user-computer interface design were identified. However, the SG was perceived as being easy to learn, and participants suggested that the SG could serve as a supplement to traditional training in laboratory and clinical settings. Using video based scenarios with an authentic COPD patient and a home healthcare registered nurse as actors contributed to increased realism. Using different theoretical approaches in the SG design was considered an advantage of the design process. The SG was perceived as being useful, usable, and

  20. Inferential processes in readers with Down syndrome

    Rosende-Vázquez, Marta


    Full Text Available The aim of this work is to know if the source of the difficulty in making inferences, readers with Down syndrome, is in access to prior knowledge or constructing ideas from purely textual knowledge (based on Saldaña and Frith, 2002 for autism. Involved a sample of 20 students with Down syndrome and mild mental retardation (mean IQ = 60 and a control group of 20 children without cognitive deficits. They were matched as to their extent read metal age via Prueba de Evaluación del Retraso Lector (average 8 years. We created two experimental situations: a subjects had to generate inferences based on physical knowledge, b social inferences about knowledge. The ability to check and reaction times in the activation of inferences about physical and social knowledge. We also analyzed the influence that the effect "priming". Results showed: a a rate of correct inferences similar verification tasks between the two groups, b Down subjects take longer to access knowledge that the previous text, c reaction times used by subjects Down were higher in activating physical inferences, d there were no significant differences in the population without reaction times gap between physical and social inferences e subjects without deficits benefited effect "priming" in both types of inferences f Down subjects only improve reaction time in the inferences of social nature. El presente estudio pretende conocer si el origen de la dificultad para realizar inferencias, en lectores con Síndrome de Down, se encuentra en el acceso al conocimiento previo o en la construcción de ideas a partir del conocimiento puramente textual (basándonos en Saldaña y Frith, 2002 para autismo. Participó una muestra de 20 alumnos con Síndrome de Down y discapacidad mental leve (media de C.I.= 60 y un grupo control de 20 alumnos sin déficit cognitivo. Ambos fueron igualados en cuanto a su edad mental lectora medida a través de la Prueba de Evaluación del Retraso Lector (media 8 a

  1. Brain Evolution and Human Neuropsychology: The Inferential Brain Hypothesis

    Koscik, Timothy R.; Tranel, Daniel


    Collaboration between human neuropsychology and comparative neuroscience has generated invaluable contributions to our understanding of human brain evolution and function. Further cross-talk between these disciplines has the potential to continue to revolutionize these fields. Modern neuroimaging methods could be applied in a comparative context, yielding exciting new data with the potential of providing insight into brain evolution. Conversely, incorporating an evolutionary base into the theoretical perspectives from which we approach human neuropsychology could lead to novel hypotheses and testable predictions. In the spirit of these objectives, we present here a new theoretical proposal, the Inferential Brain Hypothesis, whereby the human brain is thought to be characterized by a shift from perceptual processing to inferential computation, particularly within the social realm. This shift is believed to be a driving force for the evolution of the large human cortex. PMID:22459075

  2. Regularization methods for inferential sensing in nuclear power plants

    Hines, J.W.; Gribok, A.V.; Attieh, I.; Uhrig, R.E.


    Inferential sensing is the use of information related to a plant parameter to infer its actual value. The most common method of inferential sensing uses a mathematical model to infer a parameter value from correlated sensor values. Collinearity in the predictor variables leads to an ill-posed problem that causes inconsistent results when data based models such as linear regression and neural networks are used. This chapter presents several linear and non-linear inferential sensing methods including linear regression and neural networks. Both of these methods can be modified from their original form to solve ill-posed problems and produce more consistent results. We will compare these techniques using data from Florida Power Corporation's Crystal River Nuclear Power Plant to predict the drift in a feedwater flow sensor. According to a report entitled 'Feedwater Flow Measurement in U.S. Nuclear Power Generation Stations' that was commissioned by the Electric Power Research Institute, venturi meter fouling is 'the single most frequent cause' for derating in Pressurized Water Reactors. This chapter presents several viable solutions to this problem. (orig.)

  3. A mediation model to explain decision making under conditions of risk among adolescents: the role of fluid intelligence and probabilistic reasoning.

    Donati, Maria Anna; Panno, Angelo; Chiesi, Francesca; Primi, Caterina


    This study tested the mediating role of probabilistic reasoning ability in the relationship between fluid intelligence and advantageous decision making among adolescents in explicit situations of risk--that is, in contexts in which information on the choice options (gains, losses, and probabilities) were explicitly presented at the beginning of the task. Participants were 282 adolescents attending high school (77% males, mean age = 17.3 years). We first measured fluid intelligence and probabilistic reasoning ability. Then, to measure decision making under explicit conditions of risk, participants performed the Game of Dice Task, in which they have to decide among different alternatives that are explicitly linked to a specific amount of gain or loss and have obvious winning probabilities that are stable over time. Analyses showed a significant positive indirect effect of fluid intelligence on advantageous decision making through probabilistic reasoning ability that acted as a mediator. Specifically, fluid intelligence may enhance ability to reason in probabilistic terms, which in turn increases the likelihood of advantageous choices when adolescents are confronted with an explicit decisional context. Findings show that in experimental paradigm settings, adolescents are able to make advantageous decisions using cognitive abilities when faced with decisions under explicit risky conditions. This study suggests that interventions designed to promote probabilistic reasoning, for example by incrementing the mathematical prerequisites necessary to reason in probabilistic terms, may have a positive effect on adolescents' decision-making abilities.

  4. Statistical limitations in functional neuroimaging. I. Non-inferential methods and statistical models.

    Petersson, K M; Nichols, T E; Poline, J B; Holmes, A P


    Functional neuroimaging (FNI) provides experimental access to the intact living brain making it possible to study higher cognitive functions in humans. In this review and in a companion paper in this issue, we discuss some common methods used to analyse FNI data. The emphasis in both papers is on assumptions and limitations of the methods reviewed. There are several methods available to analyse FNI data indicating that none is optimal for all purposes. In order to make optimal use of the methods available it is important to know the limits of applicability. For the interpretation of FNI results it is also important to take into account the assumptions, approximations and inherent limitations of the methods used. This paper gives a brief overview over some non-inferential descriptive methods and common statistical models used in FNI. Issues relating to the complex problem of model selection are discussed. In general, proper model selection is a necessary prerequisite for the validity of the subsequent statistical inference. The non-inferential section describes methods that, combined with inspection of parameter estimates and other simple measures, can aid in the process of model selection and verification of assumptions. The section on statistical models covers approaches to global normalization and some aspects of univariate, multivariate, and Bayesian models. Finally, approaches to functional connectivity and effective connectivity are discussed. In the companion paper we review issues related to signal detection and statistical inference. PMID:10466149

  5. Translator’s inferential excursions, with imagination in the background

    Bożena Tokarz


    Full Text Available In a literary work, signals that trigger reader’s inferential excursions allow the reader’s imagination to identify with and control the represented world. They constitute an important element of sense-generating mechanism. Thanks to imagination, the translator imitates the inferential mechanism of the original on various level’s of the text’s structure, activating the imagination of the reader. The translator’s imagination is bi- or multivalent in having the linguistic-semiotic, literary, and cultural quality. Although it manifests itself in language, it goes beyond the boundaries of language. Imagination is a form of consciousness which has no object of its own, and a medium connecting a specific non-imaginary knowledge with representations. It constitutes a mind faculty shaped on the basis of sensory and mental perception. It is derived from individual principles of perception and cognition data processing. It usually requires a stymulus to activate the capabilities of the imagining subject. As a mind faculty, imagination is based on the mental capability common to all people, which is the ability to create chains of associations.Translator’s respect for inferential excursions in the original text is necessary for retaining the original meaning, regardless of whether they occur on the phonetic-phonological level (as in Ionesco’s The Chairs, or on the level of image-semantic and syntactic relations (as in translation of Apollinaire’s Zone, or on the level of syntax (as in translation of Mrożek’s short stories into Slovenian, or on the level of cultural communication (as in Slovenian translation of Gombrowicz’s Trans-Atlantic.

  6. Descriptive and inferential statistical methods used in burns research.

    Al-Benna, Sammy; Al-Ajam, Yazan; Way, Benjamin; Steinstraesser, Lars


    Burns research articles utilise a variety of descriptive and inferential methods to present and analyse data. The aim of this study was to determine the descriptive methods (e.g. mean, median, SD, range, etc.) and survey the use of inferential methods (statistical tests) used in articles in the journal Burns. This study defined its population as all original articles published in the journal Burns in 2007. Letters to the editor, brief reports, reviews, and case reports were excluded. Study characteristics, use of descriptive statistics and the number and types of statistical methods employed were evaluated. Of the 51 articles analysed, 11(22%) were randomised controlled trials, 18(35%) were cohort studies, 11(22%) were case control studies and 11(22%) were case series. The study design and objectives were defined in all articles. All articles made use of continuous and descriptive data. Inferential statistics were used in 49(96%) articles. Data dispersion was calculated by standard deviation in 30(59%). Standard error of the mean was quoted in 19(37%). The statistical software product was named in 33(65%). Of the 49 articles that used inferential statistics, the tests were named in 47(96%). The 6 most common tests used (Student's t-test (53%), analysis of variance/co-variance (33%), chi(2) test (27%), Wilcoxon & Mann-Whitney tests (22%), Fisher's exact test (12%)) accounted for the majority (72%) of statistical methods employed. A specified significance level was named in 43(88%) and the exact significance levels were reported in 28(57%). Descriptive analysis and basic statistical techniques account for most of the statistical tests reported. This information should prove useful in deciding which tests should be emphasised in educating burn care professionals. These results highlight the need for burn care professionals to have a sound understanding of basic statistics, which is crucial in interpreting and reporting data. Advice should be sought from professionals

  7. An ERP investigation of conditional reasoning with emotional and neutral contents.

    Blanchette, Isabelle; El-Deredy, Wael


    In two experiments we investigate conditional reasoning using event-related potentials (ERPs). Our goal was to examine the time course of inference making in two conditional forms, one logically valid (Modus Ponens, MP) and one logically invalid (Affirming the Consequent, AC). We focus particularly on the involvement of semantically-based inferential processes potentially marked by modulations of the N400. We also compared reasoning about emotional and neutral contents with separate sets of stimuli of differing linguistic complexity across the two experiments. Both MP and AC modulated the N400 component, suggesting the involvement of a semantically-based inferential mechanism common across different logical forms, content types, and linguistic features of the problems. Emotion did not have an effect on early components, and did not interact with components related to inference making. There was a main effect of emotion in the 800-1050 ms time window, consistent with an effect on sustained attention. The results suggest that conditional reasoning is not a purely formal process but that it importantly implicates semantic processing, and that the effect of emotion on reasoning does not primarily operate through a modulation of early automatic stages of information processing. Copyright © 2014 Elsevier Inc. All rights reserved.

  8. Good fences make for good neighbors but bad science: a review of what improves Bayesian reasoning and why.

    Brase, Gary L; Hill, W Trey


    Bayesian reasoning, defined here as the updating of a posterior probability following new information, has historically been problematic for humans. Classic psychology experiments have tested human Bayesian reasoning through the use of word problems and have evaluated each participant's performance against the normatively correct answer provided by Bayes' theorem. The standard finding is of generally poor performance. Over the past two decades, though, progress has been made on how to improve Bayesian reasoning. Most notably, research has demonstrated that the use of frequencies in a natural sampling framework-as opposed to single-event probabilities-can improve participants' Bayesian estimates. Furthermore, pictorial aids and certain individual difference factors also can play significant roles in Bayesian reasoning success. The mechanics of how to build tasks which show these improvements is not under much debate. The explanations for why naturally sampled frequencies and pictures help Bayesian reasoning remain hotly contested, however, with many researchers falling into ingrained "camps" organized around two dominant theoretical perspectives. The present paper evaluates the merits of these theoretical perspectives, including the weight of empirical evidence, theoretical coherence, and predictive power. By these criteria, the ecological rationality approach is clearly better than the heuristics and biases view. Progress in the study of Bayesian reasoning will depend on continued research that honestly, vigorously, and consistently engages across these different theoretical accounts rather than staying "siloed" within one particular perspective. The process of science requires an understanding of competing points of view, with the ultimate goal being integration.

  9. An introduction to inferential statistics: A review and practical guide

    Marshall, Gill, E-mail: [Faculty of Health, Medical Sciences and Social Care, University of Cumbria, Lancaster LA1 3JD (United Kingdom); Jonker, Leon [Faculty of Health, Medical Sciences and Social Care, University of Cumbria, Lancaster LA1 3JD (United Kingdom)


    Building on the first part of this series regarding descriptive statistics, this paper demonstrates why it is advantageous for radiographers to understand the role of inferential statistics in deducing conclusions from a sample and their application to a wider population. This is necessary so radiographers can understand the work of others, can undertake their own research and evidence base their practice. This article explains p values and confidence intervals. It introduces the common statistical tests that comprise inferential statistics, and explains the use of parametric and non-parametric statistics. To do this, the paper reviews relevant literature, and provides a checklist of points to consider before and after applying statistical tests to a data set. The paper provides a glossary of relevant terms and the reader is advised to refer to this when any unfamiliar terms are used in the text. Together with the information provided on descriptive statistics in an earlier article, it can be used as a starting point for applying statistics in radiography practice and research.

  10. An introduction to inferential statistics: A review and practical guide

    Marshall, Gill; Jonker, Leon


    Building on the first part of this series regarding descriptive statistics, this paper demonstrates why it is advantageous for radiographers to understand the role of inferential statistics in deducing conclusions from a sample and their application to a wider population. This is necessary so radiographers can understand the work of others, can undertake their own research and evidence base their practice. This article explains p values and confidence intervals. It introduces the common statistical tests that comprise inferential statistics, and explains the use of parametric and non-parametric statistics. To do this, the paper reviews relevant literature, and provides a checklist of points to consider before and after applying statistical tests to a data set. The paper provides a glossary of relevant terms and the reader is advised to refer to this when any unfamiliar terms are used in the text. Together with the information provided on descriptive statistics in an earlier article, it can be used as a starting point for applying statistics in radiography practice and research.

  11. Artificial Intelligence for Inferential Control of Crude Oil Stripping Process

    Mehdi Ebnali


    Full Text Available Stripper columns are used for sweetening crude oil, and they must hold product hydrogen sulfide content as near the set points as possible in the faces of upsets. Since product    quality cannot be measured easily and economically online, the control of product quality is often achieved by maintaining a suitable tray temperature near its set point. Tray temperature control method, however, is not a proper option for a multi-component stripping column because the tray temperature does not correspond exactly to the product composition. To overcome this problem, secondary measurements can be used to infer the product quality and adjust the values of the manipulated variables. In this paper, we have used a novel inferential control approach base on adaptive network fuzzy inference system (ANFIS for stripping process. ANFIS with different learning algorithms is used for modeling the process and building a composition estimator to estimate the composition of the bottom product. The developed estimator is tested, and the results show that the predictions made by ANFIS structure are in good agreement with the results of simulation by ASPEN HYSYS process simulation package. In addition, inferential control by the implementation of ANFIS-based online composition estimator in a cascade control scheme is superior to traditional tray temperature control method based on less integral time absolute error and low duty consumption in reboiler.

  12. Using inferential sensors for quality control of Everglades Depth Estimation Network water-level data

    Petkewich, Matthew D.; Daamen, Ruby C.; Roehl, Edwin A.; Conrads, Paul


    The Everglades Depth Estimation Network (EDEN), with over 240 real-time gaging stations, provides hydrologic data for freshwater and tidal areas of the Everglades. These data are used to generate daily water-level and water-depth maps of the Everglades that are used to assess biotic responses to hydrologic change resulting from the U.S. Army Corps of Engineers Comprehensive Everglades Restoration Plan. The generation of EDEN daily water-level and water-depth maps is dependent on high quality real-time data from water-level stations. Real-time data are automatically checked for outliers by assigning minimum and maximum thresholds for each station. Small errors in the real-time data, such as gradual drift of malfunctioning pressure transducers, are more difficult to immediately identify with visual inspection of time-series plots and may only be identified during on-site inspections of the stations. Correcting these small errors in the data often is time consuming and water-level data may not be finalized for several months. To provide daily water-level and water-depth maps on a near real-time basis, EDEN needed an automated process to identify errors in water-level data and to provide estimates for missing or erroneous water-level data.The Automated Data Assurance and Management (ADAM) software uses inferential sensor technology often used in industrial applications. Rather than installing a redundant sensor to measure a process, such as an additional water-level station, inferential sensors, or virtual sensors, were developed for each station that make accurate estimates of the process measured by the hard sensor (water-level gaging station). The inferential sensors in the ADAM software are empirical models that use inputs from one or more proximal stations. The advantage of ADAM is that it provides a redundant signal to the sensor in the field without the environmental threats associated with field conditions at stations (flood or hurricane, for example). In the

  13. [The research protocol VI: How to choose the appropriate statistical test. Inferential statistics].

    Flores-Ruiz, Eric; Miranda-Novales, María Guadalupe; Villasís-Keever, Miguel Ángel


    The statistical analysis can be divided in two main components: descriptive analysis and inferential analysis. An inference is to elaborate conclusions from the tests performed with the data obtained from a sample of a population. Statistical tests are used in order to establish the probability that a conclusion obtained from a sample is applicable to the population from which it was obtained. However, choosing the appropriate statistical test in general poses a challenge for novice researchers. To choose the statistical test it is necessary to take into account three aspects: the research design, the number of measurements and the scale of measurement of the variables. Statistical tests are divided into two sets, parametric and nonparametric. Parametric tests can only be used if the data show a normal distribution. Choosing the right statistical test will make it easier for readers to understand and apply the results.

  14. The research protocol VI: How to choose the appropriate statistical test. Inferential statistics

    Eric Flores-Ruiz


    Full Text Available The statistical analysis can be divided in two main components: descriptive analysis and inferential analysis. An inference is to elaborate conclusions from the tests performed with the data obtained from a sample of a population. Statistical tests are used in order to establish the probability that a conclusion obtained from a sample is applicable to the population from which it was obtained. However, choosing the appropriate statistical test in general poses a challenge for novice researchers. To choose the statistical test it is necessary to take into account three aspects: the research design, the number of measurements and the scale of measurement of the variables. Statistical tests are divided into two sets, parametric and nonparametric. Parametric tests can only be used if the data show a normal distribution. Choosing the right statistical test will make it easier for readers to understand and apply the results.

  15. Supportive decision making at the point of care: refinement of a case-based reasoning application for use in nursing practice.

    DI Pietro, Tammie L; Doran, Diane M; McArthur, Gregory


    Variations in nursing care have been observed, affecting patient outcomes and quality of care. Case-based reasoners that benchmark for patient indicators can reduce variation through decision support. This study evaluated and validated a case-based reasoning application to establish benchmarks for nursing-sensitive patient outcomes of pain, fatigue, and toilet use, using patient characteristic variables for generating similar cases. Three graduate nursing students participated. Each ranked 25 patient cases using demographics of age, sex, diagnosis, and comorbidities against 10 patients from a database. Participant judgments of case similarity were compared with the case-based reasoning system. Feature weights for each indicator were adjusted to make the case-based reasoning system's similarity ranking correspond more closely to participant judgment. Small differences were noted between initial weights and weights generated from participants. For example, initial weight for comorbidities was 0.35, whereas weights generated by participants for pain, fatigue, and toilet use were 0.49, 0.42, and 0.48, respectively. For the same outcomes, the initial weight for sex was 0.15, but weights generated by the participants were 0.025, 0.002, and 0.000, respectively. Refinement of the case-based reasoning tool established valid benchmarks for patient outcomes in relation to participants and assisted in point-of-care decision making.

  16. Spacecraft control center automation using the generic inferential executor (GENIE)

    Hartley, Jonathan; Luczak, Ed; Stump, Doug


    The increasing requirement to dramatically reduce the cost of mission operations led to increased emphasis on automation technology. The expert system technology used at the Goddard Space Flight Center (MD) is currently being applied to the automation of spacecraft control center activities. The generic inferential executor (GENIE) is a tool which allows pass automation applications to be constructed. The pass script templates constructed encode the tasks necessary to mimic flight operations team interactions with the spacecraft during a pass. These templates can be configured with data specific to a particular pass. Animated graphical displays illustrate the progress during the pass. The first GENIE application automates passes of the solar, anomalous and magnetospheric particle explorer (SAMPEX) spacecraft.

  17. A hierarchical inferential method for indoor scene classification

    Jiang Jingzhe


    Full Text Available Indoor scene classification forms a basis for scene interaction for service robots. The task is challenging because the layout and decoration of a scene vary considerably. Previous studies on knowledge-based methods commonly ignore the importance of visual attributes when constructing the knowledge base. These shortcomings restrict the performance of classification. The structure of a semantic hierarchy was proposed to describe similarities of different parts of scenes in a fine-grained way. Besides the commonly used semantic features, visual attributes were also introduced to construct the knowledge base. Inspired by the processes of human cognition and the characteristics of indoor scenes, we proposed an inferential framework based on the Markov logic network. The framework is evaluated on a popular indoor scene dataset, and the experimental results demonstrate its effectiveness.

  18. Fault detection in IRIS reactor secondary loop using inferential models

    Perillo, Sergio R.P.; Upadhyaya, Belle R.; Hines, J. Wesley


    The development of fault detection algorithms is well-suited for remote deployment of small and medium reactors, such as the IRIS, and the development of new small modular reactors (SMR). However, an extensive number of tests are still to be performed for new engineering aspects and components that are not yet proven technology in the current PWRs, and present some technological challenges for its deployment since many of its features cannot be proven until a prototype plant is built. In this work, an IRIS plant simulation platform was developed using a Simulink® model. The dynamic simulation was utilized in obtaining inferential models that were used to detect faults artificially added to the secondary system simulations. The implementation of data-driven models and the results are discussed. (author)

  19. Making reasonable decisions: a qualitative study of medical decision making in the care of patients with a clinically significant haemoglobin disorder.

    Crowther, Helen J; Kerridge, Ian


    Therapies utilized in patients with clinically significant haemoglobin disorders appear to vary between clinicians and units. This study aimed to investigate the processes of evidence implementation and medical decision making in the care of such patients in NSW, Australia. Using semi-structured interviews, 11 haematologists discussed their medical decision-making processes with particular attention paid to the use of published evidence. Transcripts were thematically analysed by a single investigator on a line-by-line basis. Decision making surrounding the care of patients with significant haemoglobin disorders varied and was deeply contextual. Three main determinants of clinical decision making were identified - factors relating to the patient and to their illness, factors specific to the clinician and the institution in which they were practising and factors related to the notion of evidence and to utility and role of evidence-based medicine in clinical practice. Clinicians pay considerable attention to medical decision making and evidence incorporation and attempt to tailor these to particular patient contexts. However, the patient context is often inferred and when discordant with the clinician's own contexture can lead to discomfort with decision recommendations. Clinicians strive to improve comfort through the use of experience and trustworthy evidence. © 2015 John Wiley & Sons, Ltd.

  20. Psychometric Evaluation of the Italian Adaptation of the Test of Inferential and Creative Thinking

    Faraci, Palmira; Hell, Benedikt; Schuler, Heinz


    This article describes the psychometric properties of the Italian adaptation of the "Analyse des Schlussfolgernden und Kreativen Denkens" (ASK; Test of Inferential and Creative Thinking) for measuring inferential and creative thinking. The study aimed to (a) supply evidence for the factorial structure of the instrument, (b) describe its…

  1. Negative inferential style, emotional clarity, and life stress: integrating vulnerabilities to depression in adolescence.

    Stange, Jonathan P; Alloy, Lauren B; Flynn, Megan; Abramson, Lyn Y


    Negative inferential style and deficits in emotional clarity have been identified as vulnerability factors for depression in adolescence, particularly when individuals experience high levels of life stress. However, previous research has not integrated these characteristics when evaluating vulnerability to depression. In the present study, a racially diverse community sample of 256 early adolescents (ages 12 and 13) completed a baseline visit and a follow-up visit 9 months later. Inferential style, emotional clarity, and depressive symptoms were assessed at baseline, and intervening life events and depressive symptoms were assessed at follow-up. Hierarchical linear regressions indicated that there was a significant three-way interaction between adolescents' weakest-link negative inferential style, emotional clarity, and intervening life stress predicting depressive symptoms at follow-up, controlling for initial depressive symptoms. Adolescents with low emotional clarity and high negative inferential styles experienced the greatest increases in depressive symptoms following life stress. Emotional clarity buffered against the impact of life stress on depressive symptoms among adolescents with negative inferential styles. Similarly, negative inferential styles exacerbated the impact of life stress on depressive symptoms among adolescents with low emotional clarity. These results provide evidence of the utility of integrating inferential style and emotional clarity as constructs of vulnerability in combination with life stress in the identification of adolescents at risk for depression. They also suggest the enhancement of emotional clarity as a potential intervention technique to protect against the effects of negative inferential styles and life stress on depression in early adolescence.

  2. Effects of Stress and Working Memory Capacity on Foreign Language Readers' Inferential Processing during Comprehension

    Rai, Manpreet K.; Loschky, Lester C.; Harris, Richard Jackson; Peck, Nicole R.; Cook, Lindsay G.


    Although stress is frequently claimed to impede foreign language (FL) reading comprehension, it is usually not explained how. We investigated the effects of stress, working memory (WM) capacity, and inferential complexity on Spanish FL readers' inferential processing during comprehension. Inferences, although necessary for reading comprehension,…

  3. How Reasoning, Judgment, and Decision Making are Colored by Gist-based Intuition: A Fuzzy-Trace Theory Approach.

    Corbin, Jonathan C; Reyna, Valerie F; Weldon, Rebecca B; Brainerd, Charles J


    Fuzzy-trace theory distinguishes verbatim (literal, exact) from gist (meaningful) representations, predicting that reliance on gist increases with experience and expertise. Thus, many judgment-and-decision-making biases increase with development, such that cognition is colored by context in ways that violate logical coherence and probability theories. Nevertheless, this increase in gist-based intuition is adaptive: Gist is stable, less sensitive to interference, and easier to manipulate. Moreover, gist captures the functionally significant essence of information, supporting healthier and more robust decision processes. We describe how fuzzy-trace theory accounts for judgment-and-decision making phenomena, predicting the paradoxical arc of these processes with the development of experience and expertise. We present data linking gist memory processes to gist processing in decision making and provide illustrations of gist reliance in medicine, public health, and intelligence analysis.

  4. The role and position of passive intervertebral motion assessment within clinical reasoning and decision-making in manual physical therapy: a qualitative interview study.

    van Trijffel, Emiel; Plochg, Thomas; van Hartingsveld, Frank; Lucas, Cees; Oostendorp, Rob A B


    Passive intervertebral motion (PIVM) assessment is a characterizing skill of manual physical therapists (MPTs) and is important for judgments about impairments in spinal joint function. It is unknown as to why and how MPTs use this mobility testing of spinal motion segments within their clinical reasoning and decision-making. This qualitative study aimed to explore and understand the role and position of PIVM assessment within the manual diagnostic process. Eight semistructured individual interviews with expert MPTs and three subsequent group interviews using manual physical therapy consultation platforms were conducted. Line-by-line coding was performed on the transcribed data, and final main themes were identified from subcategories. Three researchers were involved in the analysis process. Four themes emerged from the data: contextuality, consistency, impairment orientedness, and subjectivity. These themes were interrelated and linked to concepts of professionalism and clinical reasoning. MPTs used PIVM assessment within a multidimensional, biopsychosocial framework incorporating clinical data relating to mechanical dysfunction as well as to personal factors while applying various clinical reasoning strategies. Interpretation of PIVM assessment and subsequent decisions on manipulative treatment were strongly rooted within practitioners' practical knowledge. This study has identified the specific role and position of PIVM assessment as related to other clinical findings within clinical reasoning and decision-making in manual physical therapy in The Netherlands. We recommend future research in manual diagnostics to account for the multivariable character of physical examination of the spine.

  5. Why do we do as we do? Factors influencing clinical reasoning and decision-making among physiotherapists in an acute setting.

    Holdar, Ulrika; Wallin, Lars; Heiwe, Susanne


    Despite the current movement for health-care to become more informed by evidence, knowledge on effective implementation of evidence-based practice is scarce. To improve research application among physiotherapists, the process of implementation and clinical reasoning needs to be scrutinized. The aim of this study was to identify various experiences of factors that influence the physiotherapist's clinical reasoning in specialist care. A phenomenographic approach was chosen. Eleven physiotherapists at two acute care hospitals in nn. Data was obtained by observations and interviews. Phenomenographic data analysis identified various experiences of clinical decision-making. The Ethical Review Board of the nn approved the study. The observations and the interviews enabled identification of various experiences that influenced clinical decision-making. The physiotherapists' clinical reasoning was perceived to be constrained by contextual factors. The physiotherapists collected current information on the patient by using written and verbal information exchange and used this to generate an inner picture of the patient. By creating hypotheses that were accepted or rejected, they made decisions in advance of their interventions. The decisions were influenced by the individual characteristics of the physiotherapist, his/her knowledge and patient perceptions. Clinical reasoning is a complex and constantly evolving process. Contextual factors such as economy and politics are not easily changed, but factors such as the patient and the physiotherapist as a person are more tangible. Copyright © 2013 John Wiley & Sons, Ltd.

  6. "Only you can play with me!" Children's inclusive decision making, reasoning, and emotions based on peers' gender and behavior problems.

    Peplak, Joanna; Song, Ju-Hyun; Colasante, Tyler; Malti, Tina


    This study examined the development of children's decisions, reasoning, and emotions in contexts of peer inclusion/exclusion. We asked an ethnically diverse sample of 117 children aged 4years (n=59; 60% girls) and 8years (n=58; 49% girls) to choose between including hypothetical peers of the same or opposite gender and with or without attention deficit/hyperactivity problems and aggressive behavior. Children also provided justifications for, and emotions associated with, their inclusion decisions. Both 4- and 8-year-olds predominantly chose to include the in-group peer (i.e., the same-gender peer and peers without behavior problems), thereby demonstrating a normative in-group inclusive bias. Nevertheless, children included the out-group peer more in the gender context than in the behavior problem contexts. The majority of children reported group functioning-related, group identity-related, and stereotype-related reasoning after their in-group inclusion decisions, and they associated happy feelings with such decisions. Although most children attributed sadness to the excluded out-group peer, they attributed more anger to the excluded out-group peer in the aggression context compared with other contexts. We discuss the implications of our findings for current theorizing about children's social-cognitive and emotional development in contexts of peer inclusion and exclusion. Copyright © 2017 Elsevier Inc. All rights reserved.

  7. The Characteristics of Older People Who Engage in Community Music Making, Their Reasons for Participation and the Barriers They Face

    Hallam, Susan; Creech, Andrea; Varvarigou, Maria; McQueen, Hilary


    There is now an accepted need for initiatives that support older people's health and well-being. There is increasing evidence that active engagement with music has the potential to contribute to this. This research aimed to explore the characteristics of older people who participated in active music making with a view to identifying the groups…

  8. Making reasonable and achievable adjustments: the contributions of learning disability liaison nurses in 'Getting it right' for people with learning disabilities receiving general hospitals care.

    MacArthur, Juliet; Brown, Michael; McKechanie, Andrew; Mack, Siobhan; Hayes, Matthew; Fletcher, Joan


    To examine the role of learning disability liaison nurses in facilitating reasonable and achievable adjustments to support access to general hospital services for people with learning disabilities. Mixed methods study involving four health boards in Scotland with established Learning Disability Liaison Nurses (LDLN) Services. Quantitative data of all liaison nursing referrals over 18 months and qualitative data collected from stakeholders with experience of using the liaison services within the previous 3-6 months. Six liaison nurses collected quantitative data of 323 referrals and activity between September 2008-March 2010. Interviews and focus groups were held with 85 participants included adults with learning disabilities (n = 5), carers (n = 16), primary care (n = 39), general hospital (n = 19) and liaison nurses (n = 6). Facilitating reasonable and achievable adjustments was an important element of the LDLNs' role and focussed on access to information; adjustments to care; appropriate environment of care; ensuring equitable care; identifying patient need; meeting patient needs; and specialist tools/resources. Ensuring that reasonable adjustments are made in the general hospital setting promotes person-centred care and equal health outcomes for people with a learning disability. This view accords with 'Getting it right' charter produced by the UK Charity Mencap which argues that healthcare professionals need support, encouragement and guidance to make reasonable adjustments for this group. LDLNs have an important and increasing role to play in advising on and establishing adjustments that are both reasonable and achievable. © 2015 John Wiley & Sons Ltd.

  9. Developmental changes in decision making under risk: The role of executive functions and reasoning abilities in 8- to 19-year-old decision makers.

    Schiebener, Johannes; García-Arias, María; García-Villamisar, Domingo; Cabanyes-Truffino, Javier; Brand, Matthias


    Previous studies have shown that children and adolescents often tend toward risky decisions despite explicit knowledge about the potential negative consequences. This phenomenon has been suggested to be associated with the immaturity of brain areas involved in cognitive control functions. Particularly, "frontal lobe functions," such as executive functions and reasoning, mature until young adulthood and are thought to be involved in age-related changes in decision making under explicit risk conditions. We investigated 112 participants, aged 8-19 years, with a frequently used task assessing decisions under risk, the Game of Dice Task (GDT). Additionally, we administered the Modified Card Sorting Test assessing executive functioning (categorization, cognitive flexibility, and strategy maintenance) as well as the Ravens Progressive Matrices assessing reasoning. The results showed that risk taking in the GDT decreased with increasing age and this effect was not moderated by reasoning but by executive functions: Particularly, young persons with weak executive functioning showed very risky decision making. Thus, the individual maturation of executive functions, associated with areas in the prefrontal cortex, seems to be an important factor in young peoples' behavior in risky decision-making situations.

  10. Logical Reasoning versus Information Processing in the Dual-Strategy Model of Reasoning

    Markovits, Henry; Brisson, Janie; de Chantal, Pier-Luc


    One of the major debates concerning the nature of inferential reasoning is between counterexample-based strategies such as mental model theory and statistical strategies underlying probabilistic models. The dual-strategy model, proposed by Verschueren, Schaeken, & d'Ydewalle (2005a, 2005b), which suggests that people might have access to both…

  11. Inferential revision in narrative texts: An ERP study.

    Pérez, Ana; Cain, Kate; Castellanos, María C; Bajo, Teresa


    We evaluated the process of inferential revision during text comprehension in adults. Participants with high or low working memory read short texts, in which the introduction supported two plausible concepts (e.g., 'guitar/violin'), although one was more probable ('guitar'). There were three possible continuations: a neutral sentence, which did not refer back to either concept; a no-revise sentence, which referred to a general property consistent with either concept (e.g., '…beautiful curved body'); and a revise sentence, which referred to a property that was consistent with only the less likely concept (e.g., '…matching bow'). Readers took longer to read the sentence in the revise condition, indicating that they were able to evaluate their comprehension and detect a mismatch. In a final sentence, a target noun referred to the alternative concept supported in the revise condition (e.g., 'violin'). ERPs indicated that both working memory groups were able to evaluate their comprehension of the text (P3a), but only high working memory readers were able to revise their initial incorrect interpretation (P3b) and integrate the new information (N400) when reading the revise sentence. Low working memory readers had difficulties inhibiting the no-longer-relevant interpretation and thus failed to revise their situation model, and they experienced problems integrating semantically related information into an accurate memory representation.

  12. The Importance of Conditional Probability in Diagnostic Reasoning and Clinical Decision Making: A Primer for the Eye Care Practitioner.

    Sanfilippo, Paul G; Hewitt, Alex W; Mackey, David A


    To outline and detail the importance of conditional probability in clinical decision making and discuss the various diagnostic measures eye care practitioners should be aware of in order to improve the scope of their clinical practice. We conducted a review of the importance of conditional probability in diagnostic testing for the eye care practitioner. Eye care practitioners use diagnostic tests on a daily basis to assist in clinical decision making and optimizing patient care and management. These tests provide probabilistic information that can enable the clinician to increase (or decrease) their level of certainty about the presence of a particular condition. While an understanding of the characteristics of diagnostic tests are essential to facilitate proper interpretation of test results and disease risk, many practitioners either confuse or misinterpret these measures. In the interests of their patients, practitioners should be aware of the basic concepts associated with diagnostic testing and the simple mathematical rule that underpins them. Importantly, the practitioner needs to recognize that the prevalence of a disease in the population greatly determines the clinical value of a diagnostic test.

  13. The IDEA Assessment Tool: Assessing the Reporting, Diagnostic Reasoning, and Decision-Making Skills Demonstrated in Medical Students' Hospital Admission Notes.

    Baker, Elizabeth A; Ledford, Cynthia H; Fogg, Louis; Way, David P; Park, Yoon Soo


    Construct: Clinical skills are used in the care of patients, including reporting, diagnostic reasoning, and decision-making skills. Written comprehensive new patient admission notes (H&Ps) are a ubiquitous part of student education but are underutilized in the assessment of clinical skills. The interpretive summary, differential diagnosis, explanation of reasoning, and alternatives (IDEA) assessment tool was developed to assess students' clinical skills using written comprehensive new patient admission notes. The validity evidence for assessment of clinical skills using clinical documentation following authentic patient encounters has not been well documented. Diagnostic justification tools and postencounter notes are described in the literature (1,2) but are based on standardized patient encounters. To our knowledge, the IDEA assessment tool is the first published tool that uses medical students' H&Ps to rate students' clinical skills. The IDEA assessment tool is a 15-item instrument that asks evaluators to rate students' reporting, diagnostic reasoning, and decision-making skills based on medical students' new patient admission notes. This study presents validity evidence in support of the IDEA assessment tool using Messick's unified framework, including content (theoretical framework), response process (interrater reliability), internal structure (factor analysis and internal-consistency reliability), and relationship to other variables. Validity evidence is based on results from four studies conducted between 2010 and 2013. First, the factor analysis (2010, n = 216) yielded a three-factor solution, measuring patient story, IDEA, and completeness, with reliabilities of .79, .88, and .79, respectively. Second, an initial interrater reliability study (2010) involving two raters demonstrated fair to moderate consensus (κ = .21-.56, ρ =.42-.79). Third, a second interrater reliability study (2011) with 22 trained raters also demonstrated fair to moderate agreement

  14. Applying contemporary philosophy in mathematics and statistics education : The perspective of inferentialism

    Schindler, Maike; Mackrell, Kate; Pratt, Dave; Bakker, A.


    Schindler, M., Mackrell, K., Pratt, D., & Bakker, A. (2017). Applying contemporary philosophy in mathematics and statistics education: The perspective of inferentialism. In G. Kaiser (Ed.). Proceedings of the 13th International Congress on Mathematical Education, ICME-13

  15. Age-related variance in decisions under ambiguity is explained by changes in reasoning, executive functions, and decision-making under risk.

    Schiebener, Johannes; Brand, Matthias


    Previous literature has explained older individuals' disadvantageous decision-making under ambiguity in the Iowa Gambling Task (IGT) by reduced emotional warning signals preceding decisions. We argue that age-related reductions in IGT performance may also be explained by reductions in certain cognitive abilities (reasoning, executive functions). In 210 participants (18-86 years), we found that the age-related variance on IGT performance occurred only in the last 60 trials. The effect was mediated by cognitive abilities and their relation with decision-making performance under risk with explicit rules (Game of Dice Task). Thus, reductions in cognitive functions in older age may be associated with both a reduced ability to gain explicit insight into the rules of the ambiguous decision situation and with failure to choose the less risky options consequently after the rules have been understood explicitly. Previous literature may have underestimated the relevance of cognitive functions for age-related decline in decision-making performance under ambiguity.

  16. An investigation into drug products withdrawn from the EU market between 2002 and 2011 for safety reasons and the evidence used to support the decision-making.

    McNaughton, Rhian; Huet, Gwenaël; Shakir, Saad


    The objective of this study was to determine the nature of evidence used to support the withdrawal of marketing authorisations of drug products for safety reasons throughout the European Union (EU) between 2002 and 2011. Products withdrawn, either by a medicines agency or a marketing authorisation holder, during the period 2002-2011 were identified by conducting detailed searches of the WHO, the European Medicines Agency (EMA) and national medicines agency websites throughout the EU plus Norway, Iceland and Liechtenstein. The scientific evidence used to support the decision was identified from a search within PubMed, the EMA and national medicines agencies websites. Information about spontaneous case reports entered into EudraVigilance and unavailable on the EMA website was received by email from the EMA. 19 drugs were withdrawn from the market, throughout the EU, for safety reasons from 2002 to 2011. Case reports were cited in 95% of withdrawals (18/19) and case-control studies (4/19), cohort studies (4/19), randomised controlled trials (RCTs) (12/19) or meta-analysis (5/19) were cited in 63% of withdrawals (12/19). Cardiovascular events or disorders were the main reason for withdrawal (9/19), followed by hepatic disorders (4/19) and neurological or psychiatric disorders (4/19). This study has shown that the level of evidence used to support drug withdrawal has improved during the past 10 years, with an increased use of case-control studies, cohort studies, RCTs and meta-analyses. This research has demonstrated that such studies have contributed to decision-making in almost two-thirds of cases.

  17. Make

    Frauenfelder, Mark


    The first magazine devoted entirely to do-it-yourself technology projects presents its 29th quarterly edition for people who like to tweak, disassemble, recreate, and invent cool new uses for technology. MAKE Volume 29 takes bio-hacking to a new level. Get introduced to DIY tracking devices before they hit the consumer electronics marketplace. Learn how to build an EKG machine to study your heartbeat, and put together a DIY bio lab to study athletic motion using consumer grade hardware.

  18. Two degree of freedom PID based inferential control of continuous bioreactor for ethanol production.

    Pachauri, Nikhil; Singh, Vijander; Rani, Asha


    This article presents the development of inferential control scheme based on Adaptive linear neural network (ADALINE) soft sensor for the control of fermentation process. The ethanol concentration of bioreactor is estimated from temperature profile of the process using soft sensor. The prediction accuracy of ADALINE is enhanced by retraining it with immediate past measurements. The ADALINE and retrained ADALINE are used along with PID and 2-DOF-PID leading to APID, A2PID, RAPID and RA2PID inferential controllers. Further the parameters of 2-DOF-PID are optimized using Non-dominated sorted genetic algorithm-II and used with retrained ADALINE soft sensor which leads to RAN2PID inferential controller. Simulation results demonstrate that performance of proposed RAN2PID controller is better in comparison to other designed controllers in terms of qualitative and quantitative performance indices. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

  19. Heuristic reasoning


    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.

  20. Inductive reasoning.

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


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

  1. 'Informed and uninformed decision making'--women's reasoning, experiences and perceptions with regard to advanced maternal age and delayed childbearing: a meta-synthesis.

    Cooke, Alison; Mills, Tracey A; Lavender, Tina


    To identify what factors affect women's decisions to delay childbearing, and to explore women's experiences and their perceptions of associated risks. Systematic procedures were used for search strategy, study selection, data extraction and analysis. Findings were synthesised using an approach developed from meta-ethnography. We included qualitative papers, not confined to geographical area (1980-2009). Databases included CINAHL, MEDLINE, EMBASE, PsycInfo, ASSIA, MIDIRS, British Nursing Index and the National Research Register. We selected qualitative empirical studies exploring the views and experiences of women of advanced maternal age who were childless or primigravidae with a singleton pregnancy or primiparous. Twelve papers fulfilled the selection criteria and were included for synthesis. Women appear to face an issue of 'informed and uninformed decision making'; those who believe they are informed but may not be, those who are not informed and find out they are at risk once pregnant, and those who are well informed but choose to delay pregnancy anyway. Maternity services could provide information to enable informed choice regarding timing of childbearing. Health professionals need to be mindful of the fact that women delay childbearing for various reasons. A strategy of pre-conception education may be beneficial in informing childbearing decisions. Obstetricians and midwives should be sensitive to the fact that women may not be aware of all the risks associated with delayed childbearing. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

  2. Statistical analysis and interpretation of prenatal diagnostic imaging studies, Part 2: descriptive and inferential statistical methods.

    Tuuli, Methodius G; Odibo, Anthony O


    The objective of this article is to discuss the rationale for common statistical tests used for the analysis and interpretation of prenatal diagnostic imaging studies. Examples from the literature are used to illustrate descriptive and inferential statistics. The uses and limitations of linear and logistic regression analyses are discussed in detail.

  3. On optimal feedforward and ILC : the role of feedback for optimal performance and inferential control

    van Zundert, J.C.D.; Oomen, T.A.E


    The combination of feedback control with inverse model feedforward control or iterative learning control is known to yield high performance. The aim of this paper is to clarify the role of feedback in the design of feedforward controllers, with specific attention to the inferential situation. Recent

  4. Teachers' Literal and Inferential Talk in Early Childhood and Special Education Classrooms

    Sembiante, Sabrina F.; Dynia, Jaclyn M.; Kaderavek, Joan N.; Justice, Laura M.


    Research Findings: This study examined preschool teachers' literal talk (LT) and inferential talk (IT) during shared book readings in early childhood education (ECE) and early childhood special education (ECSE) classrooms. We aimed to characterize and compare teachers' LT and IT in these 2 classroom contexts and determine whether differences in LT…

  5. Foundation Year 2 doctors' reasons for leaving UK medicine: an in-depth analysis of decision-making using semistructured interviews.

    Smith, Samantha E; Tallentire, Victoria R; Pope, Lindsey M; Laidlaw, Anita H; Morrison, Jill


    To explore the reasons that doctors choose to leave UK medicine after their foundation year two posts. All four regions of Scotland. Foundation year two doctors (F2s) working throughout Scotland who were considering leaving UK medicine after foundation training were recruited on a volunteer basis. Maximum variation between participants was sought. Semistructured interviews were coded using template analysis. Six perspectives, described by Feldman and Ng, were used as the initial coding template. The codes were then configured to form a framework that explores the interplay of factors influencing Foundation Year 2 (F2) doctors' decisions to leave UK medicine. Seventeen participants were interviewed. Six perspectives were explored. Structural influences (countrywide and worldwide issues) included visas, economic and political considerations, structure of healthcare systems and availability of junior doctor jobs worldwide. Organisational influences (the National Health Service (NHS) and other healthcare providers) included staffing and compensation policies, the working environment and the learning environment. Occupational influences (specific to being a junior doctor) comprised the junior doctor contract, role and workload, pursuit of career interests and the structure of training. Work group influences (relationships with colleagues) included support at work, task interdependence and use of locums. Personal life influences consisted of work-life balance, and support in resolving work-life conflict. The underlying theme of 'taking a break' recurred through multiple narratives. F2s give reasons similar to those given by any professional considering a change in their job. However, working within the NHS as an F2 doctor brought specific challenges, such as a need to make a choice of specialty within the F2 year, exposure to workplace bullying and difficulties in raising concerns. Despite these challenges, most F2s did not view their decision to leave as a permanent job

  6. Précis of bayesian rationality: The probabilistic approach to human reasoning.

    Oaksford, Mike; Chater, Nick


    According to Aristotle, humans are the rational animal. The borderline between rationality and irrationality is fundamental to many aspects of human life including the law, mental health, and language interpretation. But what is it to be rational? One answer, deeply embedded in the Western intellectual tradition since ancient Greece, is that rationality concerns reasoning according to the rules of logic--the formal theory that specifies the inferential connections that hold with certainty between propositions. Piaget viewed logical reasoning as defining the end-point of cognitive development; and contemporary psychology of reasoning has focussed on comparing human reasoning against logical standards. Bayesian Rationality argues that rationality is defined instead by the ability to reason about uncertainty. Although people are typically poor at numerical reasoning about probability, human thought is sensitive to subtle patterns of qualitative Bayesian, probabilistic reasoning. In Chapters 1-4 of Bayesian Rationality (Oaksford & Chater 2007), the case is made that cognition in general, and human everyday reasoning in particular, is best viewed as solving probabilistic, rather than logical, inference problems. In Chapters 5-7 the psychology of "deductive" reasoning is tackled head-on: It is argued that purportedly "logical" reasoning problems, revealing apparently irrational behaviour, are better understood from a probabilistic point of view. Data from conditional reasoning, Wason's selection task, and syllogistic inference are captured by recasting these problems probabilistically. The probabilistic approach makes a variety of novel predictions which have been experimentally confirmed. The book considers the implications of this work, and the wider "probabilistic turn" in cognitive science and artificial intelligence, for understanding human rationality.

  7. Inferential comprehension of 3-6 year olds within the context of story grammar: a scoping review.

    Filiatrault-Veilleux, Paméla; Bouchard, Caroline; Trudeau, Natacha; Desmarais, Chantal


    The ability to make inferences plays a crucial role in reading comprehension and the educational success of school-aged children. However, it starts to unfold much earlier than school entry and literacy. Given that it is likely to be targeted in speech language therapy, it would be useful for clinicians to have access to information about a developmental sequence of inferential comprehension. Yet, at this time, there is no clear proposition of the way in which this ability develops in young children prior to school entry. To reduce the knowledge gap with regards to inferential comprehension in young children by conducting a scoping review of the literature. The two objectives of this research are: (1) to describe typically developing children's comprehension of causal inferences targeting elements of story grammar, with the goal of proposing milestones in the development of this ability; and (2) to highlight key elements of the methodology used to gather this information in a paediatric population. A total of 16 studies from six databases that met the inclusion criteria were qualitatively analysed in the context of a scoping review. This methodological approach was used to identify common themes and gaps in the knowledge base to achieve the intended objectives. Results permit the description of key elements in the development of six types of causal inference targeting elements of story grammar in children between 3 and 6 years old. Results also demonstrate the various methods used to assess this ability in young children and highlight particularly interesting procedures for use with this younger population. These findings point to the need for additional studies to understand this ability better and to develop strategies to stimulate an evidence-based developmental sequence in children from an early age. © 2015 The Authors. International Journal of Language & Communication Disorders published by John Wiley & Sons Ltd on behalf of Royal College of Speech and

  8. Dynamic systems and inferential information processing in human communication.

    Grammer, Karl; Fink, Bernhard; Renninger, LeeAnn


    Research in human communication on an ethological basis is almost obsolete. The reasons for this are manifold and lie partially in methodological problems connected to the observation and description of behavior, as well as the nature of human behavior itself. In this chapter, we present a new, non-intrusive, technical approach to the analysis of human non-verbal behavior, which could help to solve the problem of categorization that plagues the traditional approaches. We utilize evolutionary theory to propose a new theory-driven methodological approach to the 'multi-unit multi-channel modulation' problem of human nonverbal communication. Within this concept, communication is seen as context-dependent (the meaning of a signal is adapted to the situation), as a multi-channel and a multi-unit process (a string of many events interrelated in 'communicative' space and time), and as related to the function it serves. Such an approach can be utilized to successfully bridge the gap between evolutionary psychological research, which focuses on social cognition adaptations, and human ethology, which describes every day behavior in an objective, systematic way.

  9. The role of cognitive reasoning and decision making and user testing in the enhancement of communication of legislative messages in a digital age

    Andrew Nkunika


    Full Text Available Legislative drafting is an essential means devised for the facilitation of the implementation of government policies by governments in various jurisdictions. The drafting of legislation has to take into account the various users of the legislation and balance their various interests while maintaining the policy objectives for which the legislation is enacted.  The changing needs of the users of legislation have necessitated the revision of the manner in which regulatory messages are communicated to users more effectively.  The changing needs of users consequently require constant analysis in order to ensure that the legislation developed is increasingly capable of more effective implementation. Legislation has traditionally been viewed as a complex and technical myriad of words that are beyond the attainment of an ordinary user despite it being designed to regulate the very fabric of the user’s existence in a civilised society. Further, legislation has in some instances been criticised from being too detached from the aspiration of the people that it regulates. This challenge is further exacerbated by the fact that compliance with increasingly complex legislation is becoming more and more essential as society continues to evolve and be influenced by technology and other factors that require a revision of the traditional view and utility of legislation. The changing uses of legislation and the increasing diversity of its users has given rise to the increased need to test the usability of legislation in order to ensure that the regulatory messages that it presents are usable by the various audiences at which it is targeted, on a cognitive level, in order to ensure its universal application to the greatest extent possible. This discussion aims to examine the role of cognitive reasoning and decision making as well as user testing in the legislative drafting process and how this can be used to ensure more effective communication of regulatory

  10. Metacognition and reasoning

    Fletcher, Logan; Carruthers, Peter


    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. PMID:22492753

  11. Neural Networks. Diagnostic and inferential measurements; Reti neurali. Diagnostica e misure inferenziali

    Bonavita, N. [Apc Group Leader, Abb Industria, Genua (Italy); Parisini, T. [Milan Politecnico, Milan (Italy). Dipt. di Elettronica e Informazione


    In this work, the use of neural approximating networks is described in the context of fault diagnosis of industrial plants with a particular emphasis to the technique of inferential measurements. The proposed methodology is related to the current literature emphasizing advantages and disadvantages of the analytical redundancy concept. The use of neural approximators for the generation of inferential measurement is described in the context of industrial distributed control systems. [Italian] In questo articolo viene descritta l'utilizzazione degli approssimatori neurali in problemi di diagnostica d'impianto con particolare riferimento alla tecnica delle misure inferenziali. Viene fornito un inquadramento della metodologia rispetto alla letteratura attuale mettendo in risalto vantaggi e svantaggi del concetto di ridondanza analitica. L'uso degli approssimatori neurali per la generazione di misure inferenziali e' illustrato in un contesto di sistemi di controllo distribuito di tipo industriale.

  12. Inferential statistics, power estimates, and study design formalities continue to suppress biomedical innovation

    Kern, Scott E.


    Innovation is the direct intended product of certain styles in research, but not of others. Fundamental conflicts between descriptive vs inferential statistics, deductive vs inductive hypothesis testing, and exploratory vs pre-planned confirmatory research designs have been played out over decades, with winners and losers and consequences. Longstanding warnings from both academics and research-funding interests have failed to influence effectively the course of these battles. The NIH publicly...

  13. Pertinent reasoning

    Britz, K


    Full Text Available In this paper the authors venture beyond one of the fundamental assumptions in the non-monotonic reasoning community, namely that non-monotonic entailment is supra-classical. They investigate reasoning which uses an infra-classical entailment...

  14. Cognitive stimulation of pupils with Down syndrome: A study of inferential talk during book-sharing.

    Engevik, Liv Inger; Næss, Kari-Anne B; Hagtvet, Bente E


    In the education of pupils with Down syndrome, "simplifying" literal talk and concrete stimulation have typically played a dominant role. This explorative study investigated the extent to which teachers stimulated abstract cognitive functions via inferential talk during book-sharing and how pupils with Down syndrome responded. Dyadic interactions (N=7) were videotaped, transcribed and coded to identify levels of abstraction in teacher utterances and to evaluate the adequacy of pupil responses. One-third of the teachers' utterances contained high levels of abstraction and promoted inferential talk. Six of the seven children predominantly responded in ways which revealed inferential thinking. Dialog excerpts highlighted individual, contextual and interactional factors contributing to variations in the findings. Contrary to previous claims, the children with Down syndrome in the current sample appear able to draw inferences beyond the "here-and-now" with teacher support. This finding highlights the educational relevance and importance of higher-order cognitive stimulation of pupils with intellectual disabilities, to foster independent metacognitive skills. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links

    Glückstad, Fumiko Kano; Herlau, Tue; Schmidt, Mikkel Nørgaard


    This work contrasts Giovanni Sartor’s view of inferential semantics of legal concepts (Sartor in Artif Intell Law 17:217–251, 2009) with a probabilistic model of theory formation (Kemp et al. in Cognition 114:165–196, 2010). The work further explores possibilities of implementing Kemp’s probabili......This work contrasts Giovanni Sartor’s view of inferential semantics of legal concepts (Sartor in Artif Intell Law 17:217–251, 2009) with a probabilistic model of theory formation (Kemp et al. in Cognition 114:165–196, 2010). The work further explores possibilities of implementing Kemp...... and Griffiths in Behav Brain Sci 4:629–640, 2001), the probabilistic model of theory formation, i.e., the Infinite Relational Model (IRM) first introduced by Kemp et al. (The twenty-first national conference on artificial intelligence, 2006, Cognition 114:165–196, 2010) and its extended model, i.e., the normal...... to the International Standard Classification of Education. The main contribution of this work is the proposal of a conceptual framework of the cross-categorization approach that, inspired by Sartor (Artif Intell Law 17:217–251, 2009), attempts to explain reasoner’s inferential mechanisms....

  16. A Quasi-Experimental Study of Moral Reasoning of Undergraduate Business Students Using an Ethical Decision-Making Framework in a Basic Accounting Course

    Wilhelm, William J.; Czyzewski, Alan B.


    This study was designed to identify classroom interventions that can be used by core business course instructors (as opposed to trained business ethicists) to positively affect levels of moral reasoning in undergraduate business students. The quasi-experimental study conducted at a Midwestern university, focused on determining if the utilization…

  17. Learning clinical reasoning.

    Pinnock, Ralph; Welch, Paul


    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. © 2013 The Authors. Journal of Paediatrics and Child Health © 2013 Paediatrics and Child Health Division (Royal Australasian College of Physicians).

  18. Properties of inductive reasoning.

    Heit, E


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

  19. Situated Meaning-Making of the Human Body: A Study of Elementary School Children's Reasons in Two Different Activities

    Lundin, Mattias; Jakobson, Britt


    In this text we compare children's expressions in drawings to their statements during interviews, for the purpose of understanding how different situations afford children to make meaning. In specific we study how two different activities interact and afford children to make meaning differently about the human body. The analytic attention is…

  20. Inferential monitoring of global change impact on biodiversity through remote sensing and species distribution modeling

    Sangermano, Florencia


    The world is suffering from rapid changes in both climate and land cover which are the main factors affecting global biodiversity. These changes may affect ecosystems by altering species distributions, population sizes, and community compositions, which emphasizes the need for a rapid assessment of biodiversity status for conservation and management purposes. Current approaches on monitoring biodiversity rely mainly on long term observations of predetermined sites, which require large amounts of time, money and personnel to be executed. In order to overcome problems associated with current field monitoring methods, the main objective of this dissertation is the development of framework for inferential monitoring of the impact of global change on biodiversity based on remotely sensed data coupled with species distribution modeling techniques. Several research pieces were performed independently in order to fulfill this goal. First, species distribution modeling was used to identify the ranges of 6362 birds, mammals and amphibians in South America. Chapter 1 compares the power of different presence-only species distribution methods for modeling distributions of species with different response curves to environmental gradients and sample sizes. It was found that there is large variability in the power of the methods for modeling habitat suitability and species ranges, showing the importance of performing, when possible, a preliminary gradient analysis of the species distribution before selecting the method to be used. Chapter 2 presents a new methodology for the redefinition of species range polygons. Using a method capable of establishing the uncertainty in the definition of existing range polygons, the automated procedure identifies the relative importance of bioclimatic variables for the species, predicts their ranges and generates a quality assessment report to explore prediction errors. Analysis using independent validation data shows the power of this

  1. Foundation Year 2 doctors’ reasons for leaving UK medicine: an in-depth analysis of decision-making using semistructured interviews

    Smith, Samantha E.; Tallentire, Victoria R.; Pope, Lindsey M.; Laidlaw, Anita H.; Morrison, Jill


    This work was funded by a Scottish Medical Education Research Consortium grant. Objectives:  To explore the reasons that doctors choose to leave UK medicine after their foundation year two posts. Setting : All four regions of Scotland. Participants:  Foundation year two doctors (F2s) working throughout Scotland who were considering leaving UK medicine after foundation training were recruited on a volunteer basis. Maximum variation between participants was sought. Primary and secondary outc...

  2. Reasoning About Cultural and Genetic Transmission: Developmental and Cross-Cultural Evidence From Peru, Fiji, and the United States on How People Make Inferences About Trait Transmission.

    Moya, Cristina; Boyd, Robert; Henrich, Joseph


    Using samples from three diverse populations, we test evolutionary hypotheses regarding how people reason about the inheritance of various traits. First, we provide a framework for differentiat-ing the outputs of mechanisms that evolved for reasoning about variation within and between (a) biological taxa and (b) culturally evolved ethnic categories from (c) a broader set of beliefs and categories that are the outputs of structured learning mechanisms. Second, we describe the results of a modified "switched-at-birth" vignette study that we administered among children and adults in Puno (Peru), Yasawa (Fiji), and adults in the United States. This protocol permits us to study perceptions of prenatal and social transmission pathways for various traits and to differentiate the latter into vertical (i.e., parental) versus horizontal (i.e., peer) cultural influence. These lines of evidence suggest that people use all three mechanisms to reason about the distribution of traits in the population. Participants at all three sites develop expectations that morphological traits are under prenatal influence, and that belief traits are more culturally influenced. On the other hand, each population holds culturally specific beliefs about the degree of social influence on non-morphological traits and about the degree of vertical transmission-with only participants in the United States expecting parents to have much social influence over their children. We reinterpret people's differentiation of trait transmission pathways in light of humans' evolutionary history as a cultural species. Copyright © 2015 Cognitive Science Society, Inc.

  3. Clinical reasoning: concept analysis.

    Simmons, Barbara


    This paper is a report of a concept analysis of clinical reasoning in nursing. Clinical reasoning is an ambiguous term that is often used synonymously with decision-making and clinical judgment. Clinical reasoning has not been clearly defined in the literature. Healthcare settings are increasingly filled with uncertainty, risk and complexity due to increased patient acuity, multiple comorbidities, and enhanced use of technology, all of which require clinical reasoning. Data sources. Literature for this concept analysis was retrieved from several databases, including CINAHL, PubMed, PsycINFO, ERIC and OvidMEDLINE, for the years 1980 to 2008. Rodgers's evolutionary method of concept analysis was used because of its applicability to concepts that are still evolving. Multiple terms have been used synonymously to describe the thinking skills that nurses use. Research in the past 20 years has elucidated differences among these terms and identified the cognitive processes that precede judgment and decision-making. Our concept analysis defines one of these terms, 'clinical reasoning,' as a complex process that uses cognition, metacognition, and discipline-specific knowledge to gather and analyse patient information, evaluate its significance, and weigh alternative actions. This concept analysis provides a middle-range descriptive theory of clinical reasoning in nursing that helps clarify meaning and gives direction for future research. Appropriate instruments to operationalize the concept need to be developed. Research is needed to identify additional variables that have an impact on clinical reasoning and what are the consequences of clinical reasoning in specific situations.

  4. Proportional reasoning

    Dole, Shelley; Hilton, Annette; Hilton, Geoff


    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...

  5. Verbal Reasoning


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

  6. Diagrammatic Reasoning

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


    of representational artifacts for purposes of thinking and communicating is discussed in relation to C.S. Peirce’s notion of diagrammatical reasoning. We propose to extend Peirce’s original ideas and sketch a conceptual framework that delineates different kinds of diagram manipulation: Sometimes diagrams...

  7. CAN'T MISS--conquer any number task by making important statistics simple. Part 2. Probability, populations, samples, and normal distributions.

    Hansen, John P


    Healthcare quality improvement professionals need to understand and use inferential statistics to interpret sample data from their organizations. In quality improvement and healthcare research studies all the data from a population often are not available, so investigators take samples and make inferences about the population by using inferential statistics. This three-part series will give readers an understanding of the concepts of inferential statistics as well as the specific tools for calculating confidence intervals for samples of data. This article, Part 2, describes probability, populations, and samples. The uses of descriptive and inferential statistics are outlined. The article also discusses the properties and probability of normal distributions, including the standard normal distribution.

  8. Inverse reasoning processes in obsessive-compulsive disorder.

    Wong, Shiu F; Grisham, Jessica R


    The inference-based approach (IBA) is one cognitive model that aims to explain the aetiology and maintenance of obsessive-compulsive disorder (OCD). The model proposes that certain reasoning processes lead an individual with OCD to confuse an imagined possibility with an actual probability, a state termed inferential confusion. One such reasoning process is inverse reasoning, in which hypothetical causes form the basis of conclusions about reality. Although previous research has found associations between a self-report measure of inferential confusion and OCD symptoms, evidence of a specific association between inverse reasoning and OCD symptoms is lacking. In the present study, we developed a task-based measure of inverse reasoning in order to investigate whether performance on this task is associated with OCD symptoms in an online sample. The results provide some evidence for the IBA assertion: greater endorsement of inverse reasoning was significantly associated with OCD symptoms, even when controlling for general distress and OCD-related beliefs. Future research is needed to replicate this result in a clinical sample and to investigate a potential causal role for inverse reasoning in OCD. Copyright © 2016 Elsevier Ltd. All rights reserved.

  9. Reasons for delay in decision making and reaching health facility among obstetric fistula and pelvic organ prolapse patients in Gondar University hospital, Northwest Ethiopia.

    Adefris, Mulat; Abebe, Solomon Mekonnen; Terefe, Kiros; Gelagay, Abebaw Addis; Adigo, Azmeraw; Amare, Selamawit; Lazaro, Dorothy; Berhe, Aster; Baye, Chernet


    Obstetric fistula and pelvic organ prolapse remain highly prevalent in sub-Saharan Africa, where women have poor access to modern health care. Women having these problems tend to stay at home for years before getting treatment. However, information regarding the reasons contributing to late presentation to treatment is scarce, especially at the study area. The objective of this study was to assess the reasons whywomen with obstetric fistula and pelvic organ prolapse at Gondar University Hospital delay treatment. A hospital based cross-sectional study was conducted among 384 women. Delay was evaluated by calculating symptom onset and time of arrival to get treatment at Gondar University Hospital. Regression analysis was conducted to elicit predictors of delay for treatment. Of the total 384 participants, 311 (80.9%) had pelvic organ prolapse and 73(19.1%) obstetric fistula. The proportion of women who delayed treatment of pelvic organ prolapse was 82.9% and that of obstetric fistula 60.9%. Fear of disclosing illness due to social stigma (AOR = 2; 1.03, 3.9) and lack of money (AOR = 1.97; 1.01, 3.86) were associated with the delay of treatment for pelvic organ prolapse,while increasing age (AOR =1.12; 1.01, 1.24) and divorce (AOR = 16.9; 1.75, 165.5) were were responsible for delaying treatment forobstetric fistula. A large numberof women with pelvic organ prolapse and obstetric fistula delayed treatment. Fear of disclosure due to social stigma and lack of moneywere the major factors that contributed to thedelay to seek treatment for pelvic organ prolapse,while increasing age and divorce were the predictors for delaying treatment for obstetric fistula.

  10. Why do people show minimal knowledge updating with task experience: inferential deficit or experimental artifact?

    Hertzog, Christopher; Price, Jodi; Burpee, Ailis; Frentzel, William J; Feldstein, Simeon; Dunlosky, John


    Students generally do not have highly accurate knowledge about strategy effectiveness for learning, such as that imagery is superior to rote repetition. During multiple study-test trials using both strategies, participants' predictions about performance on List 2 do not markedly differ for the two strategies, even though List 1 recall is substantially greater for imagery. Two experiments evaluated whether such deficits in knowledge updating about the strategy effects were due to an experimental artifact or to inaccurate inferences about the effects the strategies had on recall. Participants studied paired associates on two study-test trials--they were instructed to study half using imagery and half using rote repetition. Metacognitive judgements tapped the quality of inferential processes about the strategy effects during the List 1 test and tapped gains in knowledge about the strategies across lists. One artifactual explanation--noncompliance with strategy instructions--was ruled out, whereas manipulations aimed at supporting the data available to inferential processes improved but did not fully repair knowledge updating.

  11. The necessary guidance on the application of JUSTIFICATION and ALARA by the nuclear authorities, using 'Accountability for Reasonableness' as a decision making process

    Veuchelen, Ludo


    Full text: In all branches of law, but foremost in international nuclear law, the global economic system brings along a vast record of Soft Law covering General Principles and Standards. For a part we can find these Soft Law Principles and Standards back in the clothing of hard law, or in the licensing procedures, at the national level. The larger part however is never 'transposed' into national laws and especially the harmonization, the implementation and control of such Principles and Standards remain doubtful. In this paper the focus lies on JUSTIFICATION and ALARA, as the main nuclear safety principles, accepted world-wide. The regulatory guidance and demonstration of these Principles, indicating which (numerical) safety levels or safety objectives are mandatory and which are only guidance should be undertaken by the international regulators and authorities, but are often lacking. It is the aim of this paper to come up with a better procedural framework for a priority setting process by nuclear authorities. Establishing a fair process for priority setting is easier than agreeing on principles. We use the idea of 'Accountability for Reasonableness', developed in the field of Health Care Management. An ideal model of priority setting within the JUSTIFICATION/ALARA approach will need to specify what should be done (i.e. justified ethically) and how it can be done (i.e. based in empirical reality and on benchmarking), to reach optimal levels of nuclear safety. (author)

  12. Diagnostic reasoning in action

    Rasmussen, Jens


    of system failures; and in medicine, diagnosis is the basis for any patient treatment. The paper presents a discussion of the basic nature of causal reasoning as applied for diagnosis and the mental strategies applied when diagnosis is viewed as an integrated part of ''natural decision making...

  13. Observing Reasonable Consumers.

    Silber, Norman I.


    Although courts and legislators usually set legal standards that correspond to empirical knowledge of human behavior, recent developments in behavioral psychology have led courts to appreciate the limits and errors in consumer decision making. "Reasonable consumer" standards that are congruent with cognitive reality should be developed.…

  14. Gas energy meter for inferential determination of thermophysical properties of a gas mixture at multiple states of the gas

    Morrow, Thomas B [San Antonio, TX; Kelner, Eric [San Antonio, TX; Owen, Thomas E [Helotes, TX


    A gas energy meter that acquires the data and performs the processing for an inferential determination of one or more gas properties, such as heating value, molecular weight, or density. The meter has a sensor module that acquires temperature, pressure, CO2, and speed of sound data. Data is acquired at two different states of the gas, which eliminates the need to determine the concentration of nitrogen in the gas. A processing module receives this data and uses it to perform a "two-state" inferential algorithm.

  15. Evaluation of Bending Strength of Carburized Gears Based on Inferential Identification of Principal Surface Layer Defects

    Masuyama, Tomoya; Inoue, Katsumi; Yamanaka, Masashi; Kitamura, Kenichi; Saito, Tomoyuki

    High load capacity of carburized gears originates mainly from the hardened layer and induced residual stress. On the other hand, surface decarburization, which causes a nonmartensitic layer, and inclusions such as oxides and segregation act as latent defects which considerably reduce fatigue strength. In this connection, the authors have proposed a formula of strength evaluation by separately quantifying defect influence. However, the principal defect which limits strength of gears with several different defects remains unclarified. This study presents a method of inferential identification of principal defects based on test results of carburized gears made of SCM420 clean steel, gears with both an artificial notch and nonmartensitic layer at the tooth fillet, and so forth. It clarifies practical uses of presented methods, and strength of carburized gears can be evaluated by focusing on principal defect size.

  16. Assessment and Certification of Neonatal Incubator Sensors through an Inferential Neural Network

    José Medeiros de Araújo


    Full Text Available Measurement and diagnostic systems based on electronic sensors have been increasingly essential in the standardization of hospital equipment. The technical standard IEC (International Electrotechnical Commission 60601-2-19 establishes requirements for neonatal incubators and specifies the calibration procedure and validation tests for such devices using sensors systems. This paper proposes a new procedure based on an inferential neural network to evaluate and calibrate a neonatal incubator. The proposal presents significant advantages over the standard calibration process, i.e., the number of sensors is drastically reduced, and it runs with the incubator under operation. Since the sensors used in the new calibration process are already installed in the commercial incubator, no additional hardware is necessary; and the calibration necessity can be diagnosed in real time without the presence of technical professionals in the neonatal intensive care unit (NICU. Experimental tests involving the aforementioned calibration system are carried out in a commercial incubator in order to validate the proposal.

  17. A new ore reserve estimation method, Yang Chizhong filtering and inferential measurement method, and its application

    Wu Jingqin.


    Yang Chizhong filtering and inferential measurement method is a new method used for variable statistics of ore deposits. In order to apply this theory to estimate the uranium ore reserves under the circumstances of regular or irregular prospecting grids, small ore bodies, less sampling points, and complex occurrence, the author has used this method to estimate the ore reserves in five ore bodies of two deposits and achieved satisfactory results. It is demonstrated that compared with the traditional block measurement method, this method is simple and clear in formula, convenient in application, rapid in calculation, accurate in results, less expensive, and high economic benefits. The procedure and experience in the application of this method and the preliminary evaluation of its results are mainly described

  18. A Genetic-Neuro-Fuzzy inferential model for diagnosis of tuberculosis

    Mumini Olatunji Omisore


    Full Text Available Tuberculosis is a social, re-emerging infectious disease with medical implications throughout the globe. Despite efforts, the coverage of tuberculosis disease (with HIV prevalence in Nigeria rose from 2.2% in 1991 to 22% in 2013 and the orthodox diagnosis methods available for Tuberculosis diagnosis were been faced with a number of challenges which can, if measure not taken, increase the spread rate; hence, there is a need for aid in diagnosis of the disease. This study proposes a technique for intelligent diagnosis of TB using Genetic-Neuro-Fuzzy Inferential method to provide a decision support platform that can assist medical practitioners in administering accurate, timely, and cost effective diagnosis of Tuberculosis. Performance evaluation observed, using a case study of 10 patients from St. Francis Catholic Hospital Okpara-In-Land (Delta State, Nigeria, shows sensitivity and accuracy results of 60% and 70% respectively which are within the acceptable range of predefined by domain experts.

  19. Case-based reasoning

    Kolodner, Janet


    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

  20. The Cost of Thinking about False Beliefs: Evidence from Adults' Performance on a Non-Inferential Theory of Mind Task

    Apperly, Ian A.; Back, Elisa; Samson, Dana; France, Lisa


    Much of what we know about other people's beliefs comes non-inferentially from what people tell us. Developmental research suggests that 3-year-olds have difficulty processing such information: they suffer interference from their own knowledge of reality when told about someone's false belief (e.g., [Wellman, H. M., & Bartsch, K. (1988). Young…

  1. Effects of Working Memory Capacity and Content Familiarity on Literal and Inferential Comprehension in L2 Reading

    Alptekin, Cem; Ercetin, Gulcan


    This study examines the effects of working memory capacity and content familiarity on literal and inferential comprehension in second language (L2) reading. Participants were 62 Turkish university students with an advanced English proficiency level. Working memory capacity was measured through a computerized version of a reading span test, whereas…

  2. Manage Toward Success - Utilization of Analytics in Acquisition Decision Making


    this research to build the inference network for evidential reasoning. Its basis is the Bayesian approach of probability and statistics , which... inferential force of the dependency relationship (Neapolitan, 2003). A Bayesian network is a natural representation of causal-inf luence...Analysis Requirements Description ; BOM = Bill of Materials; CAE = Component Acquisition Executive; CDRL = Contract Data Requirements List; CPARS

  3. Reasoning and Sense Making with Pythagoras

    Roscoe, Matt B.


    In 1996, a new proof of the Pythagorean theorem appeared in the "College Mathematics Journal" (Burk 1996). The occurrence is, perhaps, not especially notable given the fact that proofs of the Pythagorean theorem are numerous in the study of mathematics. Elisha S. Loomis in his treatise on the subject, "The Pythagorean…

  4. Science Teachers' Analogical Reasoning

    Mozzer, Nilmara Braga; Justi, Rosária


    Analogies can play a relevant role in students' learning. However, for the effective use of analogies, teachers should not only have a well-prepared repertoire of validated analogies, which could serve as bridges between the students' prior knowledge and the scientific knowledge they desire them to understand, but also know how to introduce analogies in their lessons. Both aspects have been discussed in the literature in the last few decades. However, almost nothing is known about how teachers draw their own analogies for instructional purposes or, in other words, about how they reason analogically when planning and conducting teaching. This is the focus of this paper. Six secondary teachers were individually interviewed; the aim was to characterize how they perform each of the analogical reasoning subprocesses, as well as to identify their views on analogies and their use in science teaching. The results were analyzed by considering elements of both theories about analogical reasoning: the structural mapping proposed by Gentner and the analogical mechanism described by Vosniadou. A comprehensive discussion of our results makes it evident that teachers' content knowledge on scientific topics and on analogies as well as their pedagogical content knowledge on the use of analogies influence all their analogical reasoning subprocesses. Our results also point to the need for improving teachers' knowledge about analogies and their ability to perform analogical reasoning.

  5. Calvin on Human Reason

    Nicolaas Vorster


    Full Text Available In his recent book The Unintended Reformation, Brad Gregory makes the statement that the Reformation replaced the teleological social ethics of Roman Catholicism based on virtue with formal social ethics based on rules and enforced by magistrates, because they regarded human reason as too depraved to acquire virtue. The result, according to Gregory, is that the relation between internalised values and rules were undermined. This article asks whether this accusation is true with regard to Calvin. The first section discusses the intellectual environment of Calvin’s day – something that inevitably influenced his theory on reason, whilst the second part analyses Calvin’s view on the created nature of reason. The third section investigates Calvin’s view on the effects of sin on reason; and the fourth section discusses Calvin’s perspective on the relation between grace and reason. The article concludes that Gregory’s accusation against the Reformation is not applicable to Calvin. Gregory fails to take into account Calvin’s modified position that the imago Dei was not totally destroyed by sin as well as his teaching on common grace that maintains that even non-believers are able to acquire virtue through the common grace of God.

  6. Inductive Reasoning: A Training Approach

    Klauer, Karl Josef; Phye, Gary D.


    Researchers have examined inductive reasoning to identify different cognitive processes when participants deal with inductive problems. This article presents a prescriptive theory of inductive reasoning that identifies cognitive processing using a procedural strategy for making comparisons. It is hypothesized that training in the use of the…

  7. Using the Coefficient of Confidence to Make the Philosophical Switch from a Posteriori to a Priori Inferential Statistics

    Trafimow, David


    There has been much controversy over the null hypothesis significance testing procedure, with much of the criticism centered on the problem of inverse inference. Specifically, p gives the probability of the finding (or one more extreme) given the null hypothesis, whereas the null hypothesis significance testing procedure involves drawing a…

  8. The t-test: An Influential Inferential Tool in Chaplaincy and Other Healthcare Research.

    Jankowski, Katherine R B; Flannelly, Kevin J; Flannelly, Laura T


    The t-test developed by William S. Gosset (also known as Student's t-test and the two-sample t-test) is commonly used to compare one sample mean on a measure with another sample mean on the same measure. The outcome of the t-test is used to draw inferences about how different the samples are from each other. It is probably one of the most frequently relied upon statistics in inferential research. It is easy to use: a researcher can calculate the statistic with three simple tools: paper, pen, and a calculator. A computer program can quickly calculate the t-test for large samples. The ease of use can result in the misuse of the t-test. This article discusses the development of the original t-test, basic principles of the t-test, two additional types of t-tests (the one-sample t-test and the paired t-test), and recommendations about what to consider when using the t-test to draw inferences in research.

  9. Surface Area of Patellar Facets: Inferential Statistics in the Iraqi Population

    Ahmed Al-Imam


    Full Text Available Background. The patella is the largest sesamoid bone in the body; its three-dimensional complexity necessitates biomechanical perfection. Numerous pathologies occur at the patellofemoral unit which may end in degenerative changes. This study aims to test the presence of statistical correlation between the surface areas of patellar facets and other patellar morphometric parameters. Materials and Methods. Forty dry human patellae were studied. The morphometry of each patella was measured using a digital Vernier Caliper, electronic balance, and image analyses software known as ImageJ. The patellar facetal surface area was correlated with patellar weight, height, width, and thickness. Results. Inferential statistics proved the existence of linear correlation of total facetal surface area and patellar weight, height, width, and thickness. The correlation was strongest for surface area versus patellar weight. The lateral facetal area was found persistently larger than the medial facetal area, the p value was found to be <0.001 (one-tailed t-test for right patellae, and another significant p value of < 0.001 (one-tailed t-test was found for left patellae. Conclusion. These data are vital for the restoration of the normal biomechanics of the patellofemoral unit; these are to be consulted during knee surgeries and implant designs and can be of an indispensable anthropometric, interethnic, and biometric value.

  10. The Future of Computerized Decision Making


    professionals will be becoming more adept at scripting, modeling, graphical and statistical displays. Decision makers may, similarly, be less likely to shy...elsewhere in this proceedings (Sanchez 2014) simulation can be the core for model-driven big data and inferential decision-making. We need to stake... descriptive , not prescriptive.” In our field, we deal with prospective decision making. We have an advantage in this area: since our output data are

  11. Varieties of clinical reasoning.

    Bolton, Jonathan W


    Clinical reasoning comprises a variety of different modes of inference. The modes that are practiced will be influenced by the sociological characteristics of the clinical settings and the tasks to be performed by the clinician. This article presents C.S. Peirce's typology of modes of inference: deduction, induction and abduction. It describes their differences and their roles as stages in scientific argument. The article applies the typology to reasoning in clinical settings. The article describes their differences, and their roles as stages in scientific argument. It then applies the typology to reasoning in typical clinical settings. Abduction is less commonly taught or discussed than induction and deduction. However, it is a common mode of inference in clinical settings, especially when the clinician must try to make sense of a surprising phenomenon. Whether abduction is followed up with deductive and inductive verification is strongly influenced by situational constraints and the cognitive and psychological stamina of the clinician. Recognizing the inevitability of abduction in clinical practice and its value to discovery is important to an accurate understanding of clinical reasoning. © 2015 John Wiley & Sons, Ltd.

  12. Why inferential statistics are inappropriate for development studies and how the same data can be better used

    Ballinger, Clint


    The purpose of this paper is twofold: 1) to highlight the widely ignored but fundamental problem of 'superpopulations' for the use of inferential statistics in development studies. We do not to dwell on this problem however as it has been sufficiently discussed in older papers by statisticians that social scientists have nevertheless long chosen to ignore; the interested reader can turn to those for greater detail. 2) to show that descriptive statistics both avoid the problem of s...

  13. Do narcissism and emotional intelligence win us friends? : modeling dynamics of peer popularity using inferential network analysis

    Czarna, Anna; Leifeld, Philip; Śmieja-Nęcka, Magdalena; Dufner, Michael; Salovey, Peter


    This research investigated effects of narcissism and emotional intelligence (EI) on popularity in social networks. In a longitudinal field study, we examined the dynamics of popularity in 15 peer groups in two waves (N = 273). We measured narcissism, ability EI, and explicit and implicit self-esteem. In addition, we measured popularity at zero acquaintance and 3 months later. We analyzed the data using inferential network analysis (temporal exponential random graph modeling, TERGM) accounting...

  14. Perceived breast cancer risk: Heuristic reasoning and search for a dominance structure

    Katapodi, M. C.; Facione, N. C.; Humphreys, J. C.; Dodd, MJ.


    Studies suggest that people construct their risk perceptions by using inferential rules called heuristics. The purpose of this study was to identify heuristics that influence perceived breast cancer risk. We examined 11 interviews from women of diverse ethnic/cultural backgrounds who were recruited from community settings. Narratives in which women elaborated about their own breast cancer risk were analyzed with Argument and Heuristic Reasoning Analysis methodology, which is based on applied ...

  15. The Relationship between Environmental Moral Reasoning and Environmental Attitudes of Pre-Service Science Teachers



    The aim of the present study was to investigate the relationship between environmental moral reasoning patterns and environmental attitudes of 120 pre-service science teachers. Content analysis was carried out on participants’ written statements regarding their concerns about the presented environmental problems and the statements were labeled as ecocentric, anthropocentric, and non-environmental according to their meanings. Then, descriptive and inferential analyses were conducted ...

  16. Perceived breast cancer risk: heuristic reasoning and search for a dominance structure.

    Katapodi, Maria C; Facione, Noreen C; Humphreys, Janice C; Dodd, Marylin J


    Studies suggest that people construct their risk perceptions by using inferential rules called heuristics. The purpose of this study was to identify heuristics that influence perceived breast cancer risk. We examined 11 interviews from women of diverse ethnic/cultural backgrounds who were recruited from community settings. Narratives in which women elaborated about their own breast cancer risk were analyzed with Argument and Heuristic Reasoning Analysis methodology, which is based on applied logic. The availability, simulation, representativeness, affect, and perceived control heuristics, and search for a dominance structure were commonly used for making risk assessments. Risk assessments were based on experiences with an abnormal breast symptom, experiences with affected family members and friends, beliefs about living a healthy lifestyle, and trust in health providers. Assessment of the potential threat of a breast symptom was facilitated by the search for a dominance structure. Experiences with family members and friends were incorporated into risk assessments through the availability, simulation, representativeness, and affect heuristics. Mistrust in health providers led to an inappropriate dependence on the perceived control heuristic. Identified heuristics appear to create predictable biases and suggest that perceived breast cancer risk is based on common cognitive patterns.

  17. Relations between Inductive Reasoning and Deductive Reasoning

    Heit, Evan; Rotello, Caren M.


    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.…

  18. Enhancing inferential abilities in adolescence: new hope for students in poverty.

    Gamino, Jacquelyn F; Motes, Michael M; Riddle, Russell; Lyon, G Reid; Spence, Jeffrey S; Chapman, Sandra B


    The ability to extrapolate essential gist through the analysis and synthesis of information, prediction of potential outcomes, abstraction of ideas, and integration of relationships with world knowledge is critical for higher-order learning. The present study investigated the efficacy of cognitive training to elicit improvements in gist reasoning and fact recall ability in 556 public middle school students (grades seven and eight), vs. a sample of 357 middle school students who served as a comparison group, to determine if changes in gist reasoning and fact recall were demonstrated without cognitive training. The results showed that, in general, cognitive training increased gist reasoning and fact recall abilities in students from families in poverty as well as students from families living above poverty. However, the magnitude of gains in gist reasoning varied as a function of gender and grade level. Our primary findings were that seventh and eighth grade girls and eighth grade boys showed significant increases in gist reasoning after training regardless of socioeconomic status (SES). There were no significant increases in gist reasoning or fact recall ability for the 357 middle school students who served as a comparison group. We postulate that cognitive training in middle school is efficacious for improving gist reasoning ability and fact recall in students from all socioeconomic levels.

  19. Enhancing Inferential Abilities in Adolescence: New Hope for Students in Poverty

    Jacquelyn F Gamino


    Full Text Available The ability to extrapolate essential gist through the analysis and synthesis of information, prediction of potential outcomes, abstraction of ideas, and integration of relationships with world knowledge is critical for higher-order learning. The present study investigated the efficacy of cognitive training to elicit improvements in gist-reasoning and fact recall ability in 556 public middle-school students (grades seven and eight, versus a sample of 357 middle school students who served as a comparison group, to determine if changes in gist-reasoning and fact recall were demonstrated without cognitive training. The results showed that, in general, cognitive training increased gist-reasoning and fact recall abilities in students from families in poverty as well as students from families living above poverty. However, the magnitude of gains in gist-reasoning varied as a function of gender and grade-level. Our primary findings were that seventh and eighth grade girls and eighth grade boys showed significant increases in gist-reasoning after training regardless of socioeconomic status. There were no significant increases in gist-reasoning or fact recall ability for the 357 middle school students who served in the comparison group. We postulate that cognitive training in middle school is efficacious for improving gist-reasoning ability and fact recall in students from all socioeconomic levels.

  20. Logic, Probability, and Human Reasoning


    accordingly suggest a way to integrate probability and deduction. The nature of deductive reasoning To be rational is to be able to make deductions...3–6] and they underlie mathematics, science, and tech- nology [7–10]. Plato claimed that emotions upset reason- ing. However, individuals in the grip...fundamental to human rationality . So, if counterexamples to its principal predictions occur, the theory will at least explain its own refutation

  1. Measurement of volatile organic compounds emitted in libraries and archives: an inferential indicator of paper decay?

    Gibson Lorraine T


    Full Text Available Abstract Background A sampling campaign of indoor air was conducted to assess the typical concentration of indoor air pollutants in 8 National Libraries and Archives across the U.K. and Ireland. At each site, two locations were chosen that contained various objects in the collection (paper, parchment, microfilm, photographic material etc. and one location was chosen to act as a sampling reference location (placed in a corridor or entrance hallway. Results Of the locations surveyed, no measurable levels of sulfur dioxide were detected and low formaldehyde vapour (-3 was measured throughout. Acetic and formic acids were measured in all locations with, for the most part, higher acetic acid levels in areas with objects compared to reference locations. A large variety of volatile organic compounds (VOCs was measured in all locations, in variable concentrations, however furfural was the only VOC to be identified consistently at higher concentration in locations with paper-based collections, compared to those locations without objects. To cross-reference the sampling data with VOCs emitted directly from books, further studies were conducted to assess emissions from paper using solid phase microextraction (SPME fibres and a newly developed method of analysis; collection of VOCs onto a polydimethylsiloxane (PDMS elastomer strip. Conclusions In this study acetic acid and furfural levels were consistently higher in concentration when measured in locations which contained paper-based items. It is therefore suggested that both acetic acid and furfural (possibly also trimethylbenzenes, ethyltoluene, decane and camphor may be present in the indoor atmosphere as a result of cellulose degradation and together may act as an inferential non-invasive marker for the deterioration of paper. Direct VOC sampling was successfully achieved using SPME fibres and analytes found in the indoor air were also identified as emissive by-products from paper. Finally a new non

  2. Inductive reasoning 2.0.

    Hayes, Brett K; Heit, Evan


    Inductive reasoning entails using existing knowledge to make predictions about novel cases. The first part of this review summarizes key inductive phenomena and critically evaluates theories of induction. We highlight recent theoretical advances, with a special emphasis on the structured statistical approach, the importance of sampling assumptions in Bayesian models, and connectionist modeling. A number of new research directions in this field are identified including comparisons of inductive and deductive reasoning, the identification of common core processes in induction and memory tasks and induction involving category uncertainty. The implications of induction research for areas as diverse as complex decision-making and fear generalization are discussed. This article is categorized under: Psychology > Reasoning and Decision Making Psychology > Learning. © 2017 Wiley Periodicals, Inc.

  3. Defeasibility in Legal Reasoning

    SARTOR, Giovanni


    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

  4. Darwin's "strange inversion of reasoning".

    Dennett, Daniel


    Darwin's theory of evolution by natural selection unifies the world of physics with the world of meaning and purpose by proposing a deeply counterintuitive "inversion of reasoning" (according to a 19th century critic): "to make a perfect and beautiful machine, it is not requisite to know how to make it" [MacKenzie RB (1868) (Nisbet & Co., London)]. Turing proposed a similar inversion: to be a perfect and beautiful computing machine, it is not requisite to know what arithmetic is. Together, these ideas help to explain how we human intelligences came to be able to discern the reasons for all of the adaptations of life, including our own.

  5. Calvin on Human Reason

    Nicolaas Vorster


    Full Text Available In his recent book The Unintended Reformation, Brad Gregory makes the statement that the Reformation replaced the teleological social ethics of Roman Catholicism based on virtue with formal social ethics based on rules and enforced by magistrates, because they regarded human reason as too depraved to acquire virtue. The result, according to Gregory, is that the relation between internalised values and rules were undermined. This article asks whether this accusation is true with regard to Calvin. The first section discusses the intellectual environment of Calvin’s day – something that inevitably influenced his theory on reason, whilst the second part analyses Calvin’s view on the created nature of reason. The third section investigates Calvin’s view on the effects of sin on reason; and the fourth section discusses Calvin’s perspective on the relation between grace and reason. The article concludes that Gregory’s accusation against the Reformation is not applicable to Calvin. Gregory fails to take into account Calvin’s modified position that the imago Dei was not totally destroyed by sin as well as his teaching on common grace that maintains that even non-believers are able to acquire virtue through the common grace of God. Calvyn oor Menslike Rede. In sy onlangse boek, The Unintended Reformation, maak Brad Gregory die stelling dat die Reformasie die substantiewe teleologiese deugde-etiek van die Rooms-Katolisisme vervang het met ‘n formele etiek gebaseer op reëls wat deur magistrate afgedwing moet word. Die Reformasie was, volgens Gregory, van mening dat die menslike rede sodanig deur sonde geskend is dat die mens nie langer deugde kan beoefen nie. Dit het tot ‘n skadelike skeiding tussen waardes en reëls gelei. Hierdie artikel ondersoek die vraag of Gregory se stelling op Calvyn van toepassing is. Die eerste afdeling bespreek die intellektuele omgewing waarin Calvyn gewerk het. Tweedens word Gregory se siening van die geskape

  6. Relations between inductive reasoning and deductive reasoning.

    Heit, Evan; Rotello, Caren M


    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. Experiment 1 showed 2 dissociations: For a common set of arguments, deduction judgments were more affected by validity, and induction judgments were more affected by similarity. Moreover, Experiment 2 showed that fast deduction judgments were like induction judgments-in terms of being more influenced by similarity and less influenced by validity, compared with slow deduction judgments. These novel results pose challenges for a 1-process account of reasoning and are interpreted in terms of a 2-process account of reasoning, which was implemented as a multidimensional signal detection model and applied to receiver operating characteristic data. PsycINFO Database Record (c) 2010 APA, all rights reserved.

  7. Children Reason about Shared Preferences

    Fawcett, Christine A.; Markson, Lori


    Two-year-old children's reasoning about the relation between their own and others' preferences was investigated across two studies. In Experiment 1, children first observed 2 actors display their individual preferences for various toys. Children were then asked to make inferences about new, visually inaccessible toys and books that were described…

  8. Adaptive neuro-fuzzy based inferential sensor model for estimating the average air temperature in space heating systems

    Jassar, S.; Zhao, L. [Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON (Canada); Liao, Z. [Department of Architectural Science, Ryerson University (Canada)


    The heating systems are conventionally controlled by open-loop control systems because of the absence of practical methods for estimating average air temperature in the built environment. An inferential sensor model, based on adaptive neuro-fuzzy inference system modeling, for estimating the average air temperature in multi-zone space heating systems is developed. This modeling technique has the advantage of expert knowledge of fuzzy inference systems (FISs) and learning capability of artificial neural networks (ANNs). A hybrid learning algorithm, which combines the least-square method and the back-propagation algorithm, is used to identify the parameters of the network. This paper describes an adaptive network based inferential sensor that can be used to design closed-loop control for space heating systems. The research aims to improve the overall performance of heating systems, in terms of energy efficiency and thermal comfort. The average air temperature results estimated by using the developed model are strongly in agreement with the experimental results. (author)

  9. Early warning of limit-exceeding concentrations of cyanobacteria and cyanotoxins in drinking water reservoirs by inferential modelling.

    Recknagel, Friedrich; Orr, Philip T; Bartkow, Michael; Swanepoel, Annelie; Cao, Hongqing


    An early warning scheme is proposed that runs ensembles of inferential models for predicting the cyanobacterial population dynamics and cyanotoxin concentrations in drinking water reservoirs on a diel basis driven by in situ sonde water quality data. When the 10- to 30-day-ahead predicted concentrations of cyanobacteria cells or cyanotoxins exceed pre-defined limit values, an early warning automatically activates an action plan considering in-lake control, e.g. intermittent mixing and ad hoc water treatment in water works, respectively. Case studies of the sub-tropical Lake Wivenhoe (Australia) and the Mediterranean Vaal Reservoir (South Africa) demonstrate that ensembles of inferential models developed by the hybrid evolutionary algorithm HEA are capable of up to 30days forecasts of cyanobacteria and cyanotoxins using data collected in situ. The resulting models for Dolicospermum circinale displayed validity for up to 10days ahead, whilst concentrations of Cylindrospermopsis raciborskii and microcystins were successfully predicted up to 30days ahead. Implementing the proposed scheme for drinking water reservoirs enhances current water quality monitoring practices by solely utilising in situ monitoring data, in addition to cyanobacteria and cyanotoxin measurements. Access to routinely measured cyanotoxin data allows for development of models that predict explicitly cyanotoxin concentrations that avoid to inadvertently model and predict non-toxic cyanobacterial strains. Copyright © 2017 Elsevier B.V. All rights reserved.

  10. Stereotypical Reasoning: Logical Properties

    Lehmann, Daniel


    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.

  11. [Clinical reasoning in nursing, concept analysis].

    Côté, Sarah; St-Cyr Tribble, Denise


    Nurses work in situations of complex care requiring great clinical reasoning abilities. In literature, clinical reasoning is often confused with other concepts and it has no consensual definition. To conduct a concept analysis of a nurse's clinical reasoning in order to clarify, define and distinguish it from the other concepts as well as to better understand clinical reasoning. Rodgers's method of concept analysis was used, after literature was retrieved with the use of clinical reasoning, concept analysis, nurse, intensive care and decision making as key-words. The use of cognition, cognitive strategies, a systematic approach of analysis and data interpretation, generating hypothesis and alternatives are attributes of clinical reasoning. The antecedents are experience, knowledge, memory, cues, intuition and data collection. The consequences are decision making, action, clues and problem resolution. This concept analysis helped to define clinical reasoning, to distinguish it from other concepts used synonymously and to guide future research.

  12. Steel making

    Chakrabarti, A K


    "Steel Making" is designed to give students a strong grounding in the theory and state-of-the-art practice of production of steels. This book is primarily focused to meet the needs of undergraduate metallurgical students and candidates for associate membership examinations of professional bodies (AMIIM, AMIE). Besides, for all engineering professionals working in steel plants who need to understand the basic principles of steel making, the text provides a sound introduction to the subject.Beginning with a brief introduction to the historical perspective and current status of steel making together with the reasons for obsolescence of Bessemer converter and open hearth processes, the book moves on to: elaborate the physiochemical principles involved in steel making; explain the operational principles and practices of the modern processes of primary steel making (LD converter, Q-BOP process, and electric furnace process); provide a summary of the developments in secondary refining of steels; discuss principles a...

  13. Sixth-grade students' reasoning on the order relation of integers as influenced by prior experience: an inferentialist analysis

    Schindler, Maike; Hußmann, Stephan; Nilsson, Per; Bakker, Arthur


    Negative numbers are among the first formalizations students encounter in their mathematics learning that clearly differ from out-of-school experiences. What has not sufficiently been addressed in previous research is the question of how students draw on their prior experiences when reasoning on negative numbers and how they infer from these experiences. This article presents results from an empirical study investigating sixth-grade students' reasoning and inferring from school-based and out-of-school experiences. In particular, it addresses the order relation, which deals with students' very first encounters with negative numbers. Here, students can reason in different ways, depending on the experiences they draw on. We study how students reason before a lesson series and how their reasoning is influenced through this lesson series where the number line and the context debts-and-assets are predominant. For grasping the reasoning's inferential and social nature and conducting in-depth analyses of two students' reasoning, we use an epistemological framework that is based on the philosophical theory of inferentialism. The results illustrate how the students infer their reasoning from out-of-school and from school-based experiences both before and after the lesson series. They reveal interesting phenomena not previously analyzed in the research on the order relation for integers.

  14. Writing-Reading Relationships: Effectiveness of Writing Activities As Pre-Reading Tasks to Enhance L2 Inferential Reading Comprehension

    Thilina Indrajie Wickramaarachchi


    Full Text Available The study examines the interaction between reading and writing processes in general and more specifically the impact of pre-reading tasks incorporating writing tasks (referred to as “prw tasks” in helping the development of inferential reading comprehension. A sample of 70 first year ESL students of the University of Kelaniya were initially selected with one group (experimental group engaging in “prw tasks” while the other group (control group performing the tasks without a pre-reading component. The intervention was for 6 sessions (one hour in each session. At the end of each session, the performance of the two groups was measured and the test scores were analyzed using the data analysis package SPSS to determine the effectiveness of the intervention. The results indicated that the experimental group had significantly performed better than the control group which indicated the effectiveness of the prw tasks in improving reading comprehension.

  15. Do Narcissism and Emotional Intelligence Win Us Friends? Modeling Dynamics of Peer Popularity Using Inferential Network Analysis.

    Czarna, Anna Z; Leifeld, Philip; Śmieja, Magdalena; Dufner, Michael; Salovey, Peter


    This research investigated effects of narcissism and emotional intelligence (EI) on popularity in social networks. In a longitudinal field study, we examined the dynamics of popularity in 15 peer groups in two waves (N = 273). We measured narcissism, ability EI, and explicit and implicit self-esteem. In addition, we measured popularity at zero acquaintance and 3 months later. We analyzed the data using inferential network analysis (temporal exponential random graph modeling, TERGM) accounting for self-organizing network forces. People high in narcissism were popular, but increased less in popularity over time than people lower in narcissism. In contrast, emotionally intelligent people increased more in popularity over time than less emotionally intelligent people. The effects held when we controlled for explicit and implicit self-esteem. These results suggest that narcissism is rather disadvantageous and that EI is rather advantageous for long-term popularity. © 2016 by the Society for Personality and Social Psychology, Inc.

  16. Teaching for Ethical Reasoning

    Sternberg, Robert J.


    This article argues for the importance of teaching for ethical reasoning. Much of our teaching is in vain if it is not applied to life in an ethical manner. The article reviews lapses in ethical reasoning and the great costs they have had for society. It proposes that ethical reasoning can be taught across the curriculum. It presents an eight-step…

  17. Inductive Reasoning and Writing

    Rooks, Clay; Boyd, Robert


    Induction, properly understood, is not merely a game, nor is it a gimmick, nor is it an artificial way of explaining an element of reasoning. Proper understanding of inductive reasoning--and the various types of reasoning that the authors term inductive--enables the student to evaluate critically other people's writing and enhances the composition…

  18. Turkish Preservice Science Teachers' Informal Reasoning regarding Socioscientific Issues and the Factors Influencing Their Informal Reasoning

    Topcu, Mustafa Sami; Yilmaz-Tuzun, Ozgul; Sadler, Troy D.


    The purpose of the study is to explore Turkish preservice science teachers' informal reasoning regarding socioscientific issues and the factors influencing their informal reasoning. The researchers engaged 39 preservice science teachers in informal reasoning interview and moral decision-making interview protocols. Of the seven socioscientific…

  19. Inferential, non-parametric statistics to assess the quality of probabilistic forecast systems

    Maia, A.H.N.; Meinke, H.B.; Lennox, S.; Stone, R.C.


    Many statistical forecast systems are available to interested users. To be useful for decision making, these systems must be based on evidence of underlying mechanisms. Once causal connections between the mechanism and its statistical manifestation have been firmly established, the forecasts must

  20. Adults' decision-making about the electronic waste issue: The role of the nature of science conceptualizations and moral concerns in socio-scientific decision-making

    Yu, Yuqing

    Socio-scientific issues have become increasingly important in Science-Technology-Society (STS) education as a means to make science learning more relevant to students' lives. This study used the e-waste issue as a context to investigate two aspects of socio-scientific decision-making: (1) the relationship between the nature of science (NOS) conceptualizations and decision-making; and (2) moral concerns involved in the process of decision-making. This study contributes to the field of socio-scientific issue research and STS education in the following ways. First, it is the first study that performed meta-analysis to seek the relationship between the NOS understanding and decision-making. This study concludes that valuable NOS conceptualizations that are highly related to the socio-scientific issue under investigation, rather than general NOS understanding, exert statistically significant influences on decision-making. Second, this study empirically examined the Multiple Responses Model (MRM), which enables the transfer of qualitative NOS responses into quantitative data, and hence, inferential statistics. The current study justifies the significance of unidimensionality to the application of the MRM. It addresses the limitations associated with the MRM and provides implications for future use of the MRM in other contexts. Finally, the study explores the role of moral concerns in socio-scientific decision-making. Eight participants engaged in interviews that were designed to elicit their reactions and feelings regarding the issue of exporting e-waste to poor countries. Qualitative analyses demonstrated that moral considerations were significant influences on decision-making. In addition, participants' action responses revealed that they were motivated to take action to help the environment. The study has implications for socio-scientific issue studies in other contexts and for teacher education programs that use socio-scientific issues to advance teachers' reasoning

  1. Argumentation in Legal Reasoning

    Bench-Capon, Trevor; Prakken, Henry; Sartor, Giovanni

    A popular view of what Artificial Intelligence can do for lawyers is that it can do no more than deduce the consequences from a precisely stated set of facts and legal rules. This immediately makes many lawyers sceptical about the usefulness of such systems: this mechanical approach seems to leave out most of what is important in legal reasoning. A case does not appear as a set of facts, but rather as a story told by a client. For example, a man may come to his lawyer saying that he had developed an innovative product while working for Company A. Now Company B has made him an offer of a job, to develop a similar product for them. Can he do this? The lawyer firstly must interpret this story, in the context, so that it can be made to fit the framework of applicable law. Several interpretations may be possible. In our example it could be seen as being governed by his contract of employment, or as an issue in Trade Secrets law.

  2. Automated Commonsense Reasoning About Human Memory

    Swanson, Reid; Gordon, Andrew S


    .... In this paper we evaluate the inferential competency of an existing formal theory of commonsense human memory by attempting to use it to validate the appropriateness of a commonsense memory strategy...

  3. Children's inferential styles, 5-HTTLPR genotype, and maternal expressed emotion-criticism: An integrated model for the intergenerational transmission of depression.

    Gibb, Brandon E; Uhrlass, Dorothy J; Grassia, Marie; Benas, Jessica S; McGeary, John


    The authors tested a model for the intergenerational transmission of depression integrating specific genetic (5-HTTLPR), cognitive (inferential style), and environmental (mother depressive symptoms and expressed-emotion criticism [EE-Crit]) risk factors. Supporting the hypothesis that maternal depression is associated with elevated levels of stress in children's lives, mothers with a history of major depressive disorder (MDD) exhibited higher depressive symptoms across a 6-month multiwave follow-up than mothers with no depression history. In addition, partially supporting our hypothesis, levels of maternal criticism during the follow-up were significantly related to mothers' current depressive symptoms but not to history of MDD. Finally, the authors found support for an integrated Gene x Cognition x Environment model of risk. Specifically, among children with negative inferential styles regarding their self-characteristics, there was a clear dose response of 5-HTTLPR genotype moderating the relation between maternal criticism and children's depressive symptoms, with the highest depressive symptoms during the follow-up observed among children carrying 2 copies of the 5-HTTLPR lower expressing alleles (short [S] or long [LG]) who also exhibited negative inferential styles for self-characteristics and who experienced high levels of EE-Crit. In contrast, children with positive inferential styles exhibited low depressive symptoms regardless of 5-HTTLPR genotype or level of maternal criticism. PsycINFO Database Record 2009 APA, all rights reserved.

  4. Assessing Analysis and Reasoning in Bioethics

    Pearce, Roger S.


    Developing critical thinking is a perceived weakness in current education. Analysis and reasoning are core skills in bioethics making bioethics a useful vehicle to address this weakness. Assessment is widely considered to be the most influential factor on learning (Brown and Glasner, 1999) and this piece describes how analysis and reasoning in…

  5. Towards a General Scientific Reasoning Engine.

    Carbonell, Jaime G.; And Others

    Expert reasoning in the natural sciences appears to make extensive use of a relatively small number of general principles and reasoning strategies, each associated with a larger number of more specific inference patterns. Using a dual declarative hierarchy to represent strategic and factual knowledge, a framework for a robust scientific reasoning…

  6. Public Reason Renaturalized

    Tønder, Lars


    . The article develops this argument via a sensorial orientation to politics that not only re-frames existing critiques of neo-Kantianism but also includes an alternative, renaturalized conception of public reason, one that allows us to overcome the disconnect between the account we give of reason and the way......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...... it is mobilized in a world of deep pluralism. The article concludes with a discussion of how a renaturalized conception of public reason might change the positioning of contemporary democratic theory vis-a-vis the struggle for empowerment and pluralization in an age of neo-liberalism and state-surveillance....

  7. The Hybrid Ethical Reasoning Agent IMMANUEL

    Bentzen, Martin Mose; Linder, Felix

    We introduce a novel software library that supportsthe implementation of hybrid ethical reasoning agents (HERA).The objective is to make moral principles available to robotprogramming. At its current stage, HERA can assess the moralpermissibility of actions using the principle of double effect......, andit can make utilitarian judgments.We present the prototype robotIMMANUEL based on HERA. The robot will be used to conductresearch on joint moral reasoning in human-robot interaction....

  8. Imaging of neural oscillations with embedded inferential and group prevalence statistics


    Magnetoencephalography and electroencephalography (MEG, EEG) are essential techniques for studying distributed signal dynamics in the human brain. In particular, the functional role of neural oscillations remains to be clarified. For that reason, imaging methods need to identify distinct brain regions that concurrently generate oscillatory activity, with adequate separation in space and time. Yet, spatial smearing and inhomogeneous signal-to-noise are challenging factors to source reconstruction from external sensor data. The detection of weak sources in the presence of stronger regional activity nearby is a typical complication of MEG/EEG source imaging. We propose a novel, hypothesis-driven source reconstruction approach to address these methodological challenges. The imaging with embedded statistics (iES) method is a subspace scanning technique that constrains the mapping problem to the actual experimental design. A major benefit is that, regardless of signal strength, the contributions from all oscillatory sources, which activity is consistent with the tested hypothesis, are equalized in the statistical maps produced. We present extensive evaluations of iES on group MEG data, for mapping 1) induced oscillations using experimental contrasts, 2) ongoing narrow-band oscillations in the resting-state, 3) co-modulation of brain-wide oscillatory power with a seed region, and 4) co-modulation of oscillatory power with peripheral signals (pupil dilation). Along the way, we demonstrate several advantages of iES over standard source imaging approaches. These include the detection of oscillatory coupling without rejection of zero-phase coupling, and detection of ongoing oscillations in deeper brain regions, where signal-to-noise conditions are unfavorable. We also show that iES provides a separate evaluation of oscillatory synchronization and desynchronization in experimental contrasts, which has important statistical advantages. The flexibility of iES allows it to be

  9. Dry deposition of reactive nitrogen to European ecosystems: a comparison of inferential models across the NitroEurope network

    C. R. Flechard


    Full Text Available Inferential models have long been used to determine pollutant dry deposition to ecosystems from measurements of air concentrations and as part of national and regional atmospheric chemistry and transport models, and yet models still suffer very large uncertainties. An inferential network of 55 sites throughout Europe for atmospheric reactive nitrogen (Nr was established in 2007, providing ambient concentrations of gaseous NH3, NO2, HNO3 and HONO and aerosol NH4+ and NO3 as part of the NitroEurope Integrated Project.

    Network results providing modelled inorganic Nr dry deposition to the 55 monitoring sites are presented, using four existing dry deposition routines, revealing inter-model differences and providing ensemble average deposition estimates. Dry deposition is generally largest over forests in regions with large ambient NH3 concentrations, exceeding 30–40 kg N ha−1 yr−1 over parts of the Netherlands and Belgium, while some remote forests in Scandinavia receive less than 2 kg N ha−1 yr−1. Turbulent Nr deposition to short vegetation ecosystems is generally smaller than to forests due to reduced turbulent exchange, but also because NH3 inputs to fertilised, agricultural systems are limited by the presence of a substantial NH3 source in the vegetation, leading to periods of emission as well as deposition.

    Differences between models reach a factor 2–3 and are often greater than differences between monitoring sites. For soluble Nr gases such as NH3 and HNO3, the non-stomatal pathways are responsible for most of the annual uptake over many surfaces, especially the non-agricultural land uses, but parameterisations of the sink strength vary considerably among models. For aerosol NH4

  10. Intuition, Reason, and Metacognition

    Thompson, Valerie A.; Prowse Turner, Jamie A.; Pennycook, Gordon


    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…

  11. Reasoning about emotional agents

    Meyer, J.-J.


    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 framework how emotions are related to the action monitoring capabilities of an agent.

  12. Specification of Nonmonotonic Reasoning.

    Engelfriet, J.; Treur, J.


    Two levels of description of nonmonotonic reasoning are distinguished. For these levels semantical formalizations are given. The first Level is defined semantically by the notion of belief state frame, the second Level by the notion of reasoning frame. We introduce two specification languages to

  13. Specification of Nonmonotonic Reasoning

    Engelfriet, J.; Treur, J.


    Two levels of description of nonmonotonic reasoning are distinguished. For these levels semantical formalizations are given. The first level is defined semantically by the notion of belief state frame, the second level by the notion of reasoning frame. We introduce two specification languages to

  14. Measuring Relational Reasoning

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


    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…

  15. Predicting Reasoning from Memory

    Heit, Evan; Hayes, Brett K.


    In an effort to assess the relations between reasoning and memory, in 8 experiments, the authors examined how well responses on an inductive reasoning task are predicted from responses on a recognition memory task for the same picture stimuli. Across several experimental manipulations, such as varying study time, presentation frequency, and the…

  16. A reasonable Semantic Web

    Hitzler, Pascal; Van Harmelen, Frank


    The realization of Semantic Web reasoning is central to substantiating the Semantic Web vision. However, current mainstream research on this topic faces serious challenges, which forces us to question established lines of research and to rethink the underlying approaches. We argue that reasoning for

  17. Model-Based Reasoning

    Ifenthaler, Dirk; Seel, Norbert M.


    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…

  18. Reasoning about emotional agents

    Meyer, J.-J.

    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

  19. Selecting the most appropriate inferential statistical test for your quantitative research study.

    Bettany-Saltikov, Josette; Whittaker, Victoria Jane


    To discuss the issues and processes relating to the selection of the most appropriate statistical test. A review of the basic research concepts together with a number of clinical scenarios is used to illustrate this. Quantitative nursing research generally features the use of empirical data which necessitates the selection of both descriptive and statistical tests. Different types of research questions can be answered by different types of research designs, which in turn need to be matched to a specific statistical test(s). Discursive paper. This paper discusses the issues relating to the selection of the most appropriate statistical test and makes some recommendations as to how these might be dealt with. When conducting empirical quantitative studies, a number of key issues need to be considered. Considerations for selecting the most appropriate statistical tests are discussed and flow charts provided to facilitate this process. When nursing clinicians and researchers conduct quantitative research studies, it is crucial that the most appropriate statistical test is selected to enable valid conclusions to be made. © 2013 John Wiley & Sons Ltd.

  20. The AORTA Reasoning Framework - Adding Organizational Reasoning to Agents

    Jensen, Andreas Schmidt

    Intelligent agents are entities defined by, among other things, autonomy. In systems of many agents, the agents’ individual autonomy can lead to uncertainty since their behavior cannot always be predicted. Usually, this kind of uncertainty is accommodated by imposing an organization upon the system...... previously been successfully integrated into agent programming languages. However, the operationalization of an organization is usually tailored to a specific language. This makes it hard to apply the same approach to other languages and platforms. The AORTA reasoning framework distinguishes itself by being...

  1. "It Doesn't Make Sense for Us Not to Have One"-Understanding Reasons Why Community Sports Organizations Chose to Participate in a Funded Automated External Defibrillator Program.

    Fortington, Lauren V; Bekker, Sheree; Morgan, Damian; Finch, Caroline F


    Implementation of automated external defibrillators (AEDs) in community sports settings is an important component of emergency medical planning. This study aimed to understand motivations for why sports organizations participated in a government-funded program that provided AEDs and associated first-aid training. Face-to-face interviews. Community sports organizations in Victoria, Australia. Representatives from 14 organizations who participated in a government-funded AED program. Motivations to participate in the AED program were explored using a qualitative descriptive approach. Two overarching themes emerged: awareness of the program and decision to apply. Awareness was gained indirectly through grant advertising in newsletters/emails/web sites and directly through their sporting associations. For most organizations, there was no decision process per se, rather, the opportunity to apply was the key determinant for participating in the program. A duty of care also emerged as a key driving factor, with recognition of AEDs as a valuable asset to communities broadly, not just the participants' immediate sports setting. Reflecting on participation in the program, these participants identified that it was important to increase awareness about AED ownership and use. The program benefits were clearly summed up as being best prepared for a worst-case scenario. This study provides new understanding of why community sports organizations apply for an AED and training. The strongest reason was simply the opportunity to acquire this at no cost. Therefore, for wider implementation of AEDs, additional funding opportunities, targeted awareness of these opportunities, and continued promotion of AED importance are recommended.


    Haase, Louise Møller; Laursen, Linda Nhu


    in the fuzzy front end is the reasoning process: innovation teams are faced with open-ended, ill-defined problems, where they need to make decisions about an unknown future but have only incomplete, ambiguous and contradicting insights available. We study the reasoning of experts, how they frame to make sense...... of all the insights and create a basis for decision-making in relation to a new project. Based on case studies of five innovative products from various industries, we propose a Product DNA model for understanding the reasoning in the fuzzy front end of innovation. The Product DNA Model explains how...... experts reason and what direct their reasoning....

  3. Reasons Internalism and the function of normative reasons

    Sinclair, Neil


    What is the connection between reasons and motives? According to Reasons Internalism there is a non-trivial conceptual connection between normative reasons and the possibility of rationally accessing relevant motivation. Reasons Internalism is attractive insofar as it captures the thought that reasons are for reasoning with and repulsive insofar as it fails to generate sufficient critical distance between reasons and motives. Rather than directly adjudicate this dispute, I extract from it two...

  4. Object reasoning for waste remediation

    Pennock, K.A.; Bohn, S.J.; Franklin, A.L.


    A large number of contaminated waste sites across the United States await size remediation efforts. These sites can be physically complex, composed of multiple, possibly interacting, contaminants distributed throughout one or more media. The Remedial Action Assessment System (RAAS) is being designed and developed to support decisions concerning the selection of remediation alternatives. The goal of this system is to broaden the consideration of remediation alternatives, while reducing the time and cost of making these considerations. The Remedial Action Assessment System is a hybrid system, designed and constructed using object-oriented, knowledge- based systems, and structured programming techniques. RAAS uses a combination of quantitative and qualitative reasoning to consider and suggest remediation alternatives. The reasoning process that drives this application is centered around an object-oriented organization of remediation technology information. This paper describes the information structure and organization used to support this reasoning process. In addition, the paper describes the level of detail of the technology related information used in RAAS, discusses required assumptions and procedural implications of these assumptions, and provides rationale for structuring RAAS in this manner. 3 refs., 3 figs

  5. Causal reasoning in physics

    Frisch, Mathias


    Much has been written on the role of causal notions and causal reasoning in the so-called 'special sciences' and in common sense. But does causal reasoning also play a role in physics? Mathias Frisch argues that, contrary to what influential philosophical arguments purport to show, the answer is yes. Time-asymmetric causal structures are as integral a part of the representational toolkit of physics as a theory's dynamical equations. Frisch develops his argument partly through a critique of anti-causal arguments and partly through a detailed examination of actual examples of causal notions in physics, including causal principles invoked in linear response theory and in representations of radiation phenomena. Offering a new perspective on the nature of scientific theories and causal reasoning, this book will be of interest to professional philosophers, graduate students, and anyone interested in the role of causal thinking in science.

  6. Training propositional reasoning.

    Klauer, K C; Meiser, T; Naumer, B


    Two experiments compared the effects of four training conditions on propositional reasoning. A syntactic training demonstrated formal derivations, in an abstract semantic training the standard truth-table definitions of logical connectives were explained, and a domain-specific semantic training provided thematic contexts for the premises of the reasoning task. In a control training, an inductive reasoning task was practised. In line with the account by mental models, both kinds of semantic training were significantly more effective than the control and the syntactic training, whereas there were no significant differences between the control and the syntactic training, nor between the two kinds of semantic training. Experiment 2 replicated this pattern of effects using a different set of syntactic and domain-specific training conditions.

  7. Design for reasoning

    Christiansen, Ellen Tove


    The aim of this paper is to position interaction design and information architecture in relation to design of interfaces to ICT applications meant to serve the goal of supporting users’ reasoning, be it learning applications or self-service applications such as citizen self-service. Interaction...... with such applications comprises three forms of reasoning: deduction, induction and abduction. Based on the work of Gregory Bateson, it is suggested that the disciplines of interaction design and information architecture are complementary parts of information processes. To show that abduction, induction and deduction...

  8. Turkish Preservice Science Teachers' Informal Reasoning Regarding Socioscientific Issues and the Factors Influencing Their Informal Reasoning

    Topçu, Mustafa Sami; Yılmaz-Tüzün, Özgül; Sadler, Troy D.


    The purpose of the study is to explore Turkish preservice science teachers' informal reasoning regarding socioscientific issues and the factors influencing their informal reasoning. The researchers engaged 39 preservice science teachers in informal reasoning interview and moral decision-making interview protocols. Of the seven socioscientific issues, three issues were related to gene therapy, another three were related to human cloning, and one was related to global warming. The data were analyzed using an interpretive qualitative research approach. The characteristic of informal reasoning was determined as multidimensional, and the patterns of informal reasoning emerged as rationalistic, emotive, and intuitive reasoning. The factors influencing informal reasoning were: personal experiences, social considerations, moral-ethical considerations, and technological concerns.

  9. Context based support for Clinical Reasoning

    Vilstrup Pedersen, Klaus


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

  10. Speed of reasoning and its relation to reasoning ability

    Goldhammer, F.; Klein Entink, R.H.


    The study investigates empirical properties of reasoning speed which is conceived as the fluency of solving reasoning problems. Responses and response times in reasoning tasks are modeled jointly to clarify the covariance structure of reasoning speed and reasoning ability. To determine underlying

  11. The reason project

    Atwood, W.; Blankenbecler, R.; Kunz, P.F.; Mours, B.; Weir, A.; Word, G.


    Reason is a software package to allow one to do physics analysis with the look and feel of the Apple Macintosh. It was implemented on a NeXT computer which does not yet support the standard HEP packages for graphics and histogramming. This paper will review our experiences and the program

  12. Reason destroys itself

    Penrose, Roger


    "Do we know for certain that 2 lus 2 equals 4? Of course we don't. Maybe every time everybody in the whole world has ever done that calculation and reasoned it through, they've made a mistake." (1 page0

  13. Reasoning=working Memoryattention

    Buehner, M.; Krumm, S.; Pick, M.


    The purpose of this study was to clarify the relationship between attention, components of working memory, and reasoning. Therefore, twenty working memory tests, two attention tests, and nine intelligence subtests were administered to 135 students. Using structural equation modeling, we were able to replicate a functional model of working memory…

  14. Reasoning about the past

    Nielsen, Mogens


    In this extended abstract, we briefly recall the abstract (categorical) notion of bisimulation from open morphisms, as introduced by Joyal, Nielsen and Winskel. The approach is applicable across a wide range of models of computation, and any such bisimulation comes automatically with characterist...... of reasoning about the past....

  15. Reason and Less

    Vinod eGoel


    Full Text Available We consider ourselves to be rational beings. We feel that our choices, decisions, and actions are selected from a flexible array of possibilities, based upon reasons. When we vote for a political candidate, it is because they share our views on certain critical issues. When we hire an individual for a job, it is be-cause they are the best qualified. However, if this is true, why does an analysis of the direction of shift in the timbre of the voice of political candidates during an exchange or debate, predict the winner of American presidential elections? Why is it that while only 3% of the American population consists of white men over 6'4 tall, 30% of the CEOs of Fortune 500 companies are white men over 6'4 tall? These are examples of instinctual biases affecting or modulating rational thought processes. I argue that existing theories of reasoning cannot substantively accommodate these ubiquitous, real-world phe-nomena. Failure to recognize and incorporate these types of phenomena into the study of human reasoning results in a distorted understanding of rationality. The goal of the article is to draw attention to these types of phenomena and propose an adulterated rationality account of reasoning to explain them.

  16. One reason, several logics

    Evandro Agazzi


    Full Text Available 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 common sense are actually "logical fallacies", and this indicates that logic is not just a descriptive, but also a prescriptive or normative enterprise, in which the notion of logical consequence is defined in a precise way and then certain rules are established in order to maintain the discourse in keeping with this notion. Yet in the justification of the correctness and adequacy of these rules commonsense reasoning must necessarily be used, and in such a way its foundational role is recognized. Moreover, it remains also true that several branches and forms of logic have been elaborated precisely in order to reflect the structural features of correct argument used in different fields of human reasoning and yet insufficiently mirrored by the most familiar logical formalisms.

  17. Reasoning with Causal Cycles

    Rehder, Bob


    This article assesses how people reason with categories whose features are related in causal cycles. Whereas models based on causal graphical models (CGMs) have enjoyed success modeling category-based judgments as well as a number of other cognitive phenomena, CGMs are only able to represent causal structures that are acyclic. A number of new…

  18. Reason and less.

    Goel, Vinod


    We consider ourselves to be rational beings. We feel that our choices, decisions, and actions are selected from a flexible array of possibilities, based upon reasons. When we vote for a political candidate, it is because they share our views on certain critical issues. When we hire an individual for a job, it is because they are the best qualified. However, if this is true, why does an analysis of the direction of shift in the timbre of the voice of political candidates during an exchange or debate, predict the winner of American presidential elections? Why is it that while only 3% of the American population consists of white men over 6'4″ tall, 30% of the CEOs of Fortune 500 companies are white men over 6'4″ tall? These are examples of "instinctual biases" affecting or modulating rational thought processes. I argue that existing theories of reasoning cannot substantively accommodate these ubiquitous, real-world phenomena. Failure to recognize and incorporate these types of phenomena into the study of human reasoning results in a distorted understanding of rationality. The goal of this article is to draw attention to these types of phenomena and propose an "adulterated rationality" account of reasoning as a first step in trying to explain them.

  19. Interactive Strategy-Making

    Andersen, Torben Juul


    This article outlines an interactive strategy-making model that combines central reasoning with ongoing learning from decentralised responses. The management literature often presents strategy as implementing an optimal plan identified through rational analysis and ascribes potential shortcomings...... to failed communication and execution of the planned actions. However, effective strategy-making comprises both central reasoning from forward-looking planning considerations and decentralised responses to emerging events as interacting elements in a dynamic adaptive system. The interaction between...

  20. Analysis of students’ mathematical reasoning

    Sukirwan; Darhim; Herman, T.


    The reasoning is one of the mathematical abilities that have very complex implications. This complexity causes reasoning including abilities that are not easily attainable by students. Similarly, studies dealing with reason are quite diverse, primarily concerned with the quality of mathematical reasoning. The objective of this study was to determine the quality of mathematical reasoning based perspective Lithner. Lithner looked at how the environment affects the mathematical reasoning. In this regard, Lithner made two perspectives, namely imitative reasoning and creative reasoning. Imitative reasoning can be memorized and algorithmic reasoning. The Result study shows that although the students generally still have problems in reasoning. Students tend to be on imitative reasoning which means that students tend to use a routine procedure when dealing with reasoning. It is also shown that the traditional approach still dominates on the situation of students’ daily learning.

  1. Reasoning about Codata

    Hinze, Ralf

    Programmers happily use induction to prove properties of recursive programs. To show properties of corecursive programs they employ coinduction, but perhaps less enthusiastically. Coinduction is often considered a rather low-level proof method, in particular, as it departs quite radically from equational reasoning. Corecursive programs are conveniently defined using recursion equations. Suitably restricted, these equations possess unique solutions. Uniqueness gives rise to a simple and attractive proof technique, which essentially brings equational reasoning to the coworld. We illustrate the approach using two major examples: streams and infinite binary trees. Both coinductive types exhibit a rich structure: they are applicative functors or idioms, and they can be seen as memo-tables or tabulations. We show that definitions and calculations benefit immensely from this additional structure.

  2. How reasonable is ALARA?

    Kiefer, H.


    The linear extrapolation of the established dose-effect relation at higher doses was accepted as a simple working hypothesis to determine dose limits for professional radiation personnel. It has been misused, however, for calculations of population risks in the very low dose region. This lead to an overestimation of radiation hazards by the public, followed by an overregulation of radiation protection. The ALARA recommendations of ICRP - justification of radiation application, optimisation of protection, and protection of the individual, - was aimed at counterpoising this trend and elucidate the aims of radiation protection. But even the ALARA principle will only be successful if it is applied with reason. The lend more weight to reason in radiation protection, an award for FS members is proposed, as well as an anti-award for the most nonsensical action in radiation protection. (orig.) [de

  3. Developing geometrical reasoning

    Brown, Margaret; Jones, Keith; Taylor, Ron; Hirst, Ann


    This paper summarises a report (Brown, Jones & Taylor, 2003) to the UK Qualifications and Curriculum Authority of the work of one geometry group. The group was charged with developing and reporting on teaching ideas that focus on the development of geometrical reasoning at the secondary school level. The group was encouraged to explore what is possible both within and beyond the current requirements of the UK National Curriculum and the Key Stage 3 strategy, and to consider the whole atta...

  4. Tactical Diagrammatic Reasoning

    Sven Linker


    Full Text Available Although automated reasoning with diagrams has been possible for some years, tools for diagrammatic reasoning are generally much less sophisticated than their sentential cousins. The tasks of exploring levels of automation and abstraction in the construction of proofs and of providing explanations of solutions expressed in the proofs remain to be addressed. In this paper we take an interactive proof assistant for Euler diagrams, Speedith, and add tactics to its reasoning engine, providing a level of automation in the construction of proofs. By adding tactics to Speedith's repertoire of inferences, we ease the interaction between the user and the system and capture a higher level explanation of the essence of the proof. We analysed the design options for tactics by using metrics which relate to human readability, such as the number of inferences and the amount of clutter present in diagrams. Thus, in contrast to the normal case with sentential tactics, our tactics are designed to not only prove the theorem, but also to support explanation.

  5. REASON for Europa

    Moussessian, A.; Blankenship, D. D.; Plaut, J. J.; Patterson, G. W.; Gim, Y.; Schroeder, D. M.; Soderlund, K. M.; Grima, C.; Young, D. A.; Chapin, E.


    The science goal of the Europa multiple flyby mission is to "explore Europa to investigate its habitability". One of the primary instruments selected for the scientific payload is a multi-frequency, multi-channel ice penetrating radar system. This "Radar for Europa Assessment and Sounding: Ocean to Near-surface (REASON)" would revolutionize our understanding of Europa's ice shell by providing the first direct measurements of its surface character and subsurface structure. REASON addresses key questions regarding Europa's habitability, including the existence of any liquid water, through the innovative use of radar sounding, altimetry, reflectometry, and plasma/particles analyses. These investigations require a dual-frequency radar (HF and VHF frequencies) instrument with concurrent shallow and deep sounding that is designed for performance robustness in the challenging environment of Europa. The flyby-centric mission configuration is an opportunity to collect and transmit minimally processed data back to Earth and exploit advanced processing approaches developed for terrestrial airborne data sets. The observation and characterization of subsurface features beneath Europa's chaotic surface require discriminating abundant surface clutter from a relatively weak subsurface signal. Finally, the mission plan also includes using REASON as a nadir altimeter capable of measuring tides to test ice shell and ocean hypotheses as well as characterizing roughness across the surface statistically to identify potential follow-on landing sites. We will present a variety of measurement concepts for addressing these challenges.

  6. Reversible Reasoning and the Working Backwards Problem Solving Strategy

    Ramful, Ajay


    Making sense of mathematical concepts and solving mathematical problems may demand different forms of reasoning. These could be either domain-based, such as algebraic, geometric or statistical reasoning, while others are more general such as inductive/deductive reasoning. This article aims at giving visibility to a particular form of reasoning…

  7. Reasonable Accommodation Information Tracking System

    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) and...

  8. Geometric Reasoning for Automated Planning

    Clement, Bradley J.; Knight, Russell L.; Broderick, Daniel


    An important aspect of mission planning for NASA s operation of the International Space Station is the allocation and management of space for supplies and equipment. The Stowage, Configuration Analysis, and Operations Planning teams collaborate to perform the bulk of that planning. A Geometric Reasoning Engine is developed in a way that can be shared by the teams to optimize item placement in the context of crew planning. The ISS crew spends (at the time of this writing) a third or more of their time moving supplies and equipment around. Better logistical support and optimized packing could make a significant impact on operational efficiency of the ISS. Currently, computational geometry and motion planning do not focus specifically on the optimized orientation and placement of 3D objects based on multiple distance and containment preferences and constraints. The software performs reasoning about the manipulation of 3D solid models in order to maximize an objective function based on distance. It optimizes for 3D orientation and placement. Spatial placement optimization is a general problem and can be applied to object packing or asset relocation.

  9. Model Based Temporal Reasoning

    Rabin, Marla J.; Spinrad, Paul R.; Fall, Thomas C.


    Systems that assess the real world must cope with evidence that is uncertain, ambiguous, and spread over time. Typically, the most important function of an assessment system is to identify when activities are occurring that are unusual or unanticipated. Model based temporal reasoning addresses both of these requirements. The differences among temporal reasoning schemes lies in the methods used to avoid computational intractability. If we had n pieces of data and we wanted to examine how they were related, the worst case would be where we had to examine every subset of these points to see if that subset satisfied the relations. This would be 2n, which is intractable. Models compress this; if several data points are all compatible with a model, then that model represents all those data points. Data points are then considered related if they lie within the same model or if they lie in models that are related. Models thus address the intractability problem. They also address the problem of determining unusual activities if the data do not agree with models that are indicated by earlier data then something out of the norm is taking place. The models can summarize what we know up to that time, so when they are not predicting correctly, either something unusual is happening or we need to revise our models. The model based reasoner developed at Advanced Decision Systems is thus both intuitive and powerful. It is currently being used on one operational system and several prototype systems. It has enough power to be used in domains spanning the spectrum from manufacturing engineering and project management to low-intensity conflict and strategic assessment.

  10. Reasoning about geography.

    Friedman, A; Brown, N R


    To understand the nature and etiology of biases in geographical judgments, the authors asked people to estimate latitudes (Experiments 1 and 2) and longitudes (Experiments 3 and 4) of cities throughout the Old and New Worlds. They also examined how people's biased geographical judgments change after they receive accurate information ("seeds") about actual locations. Location profiles constructed from the pre- and postseeding location estimates conveyed detailed information about the representations underlying geography knowledge, including the subjective positioning and subregionalization of regions within continents; differential seeding effects revealed between-region dependencies. The findings implicate an important role for conceptual knowledge and plausible-reasoning processes in tasks that use subjective geographical information.

  11. Reasoning about plans

    Allen, James; Pelavin, Richard; Tenenberg, Josh


    This book presents four contributions to planning research within an integrated framework. James Allen offers a survey of his research in the field of temporal reasoning, and then describes a planning system formalized and implemented directly as an inference process in the temporal logic. Starting from the same logic, Henry Kautz develops the first formal specification of the plan recognition process and develops a powerful family of algorithms for plan recognition in complex situations. Richard Pelavin then extends the temporal logic with model operators that allow the representation to

  12. Quantitative Algebraic Reasoning

    Mardare, Radu Iulian; Panangaden, Prakash; Plotkin, Gordon


    We develop a quantitative analogue of equational reasoning which we call quantitative algebra. We define an equality relation indexed by rationals: a =ε b which we think of as saying that “a is approximately equal to b up to an error of ε”. We have 4 interesting examples where we have a quantitative...... equational theory whose free algebras correspond to well known structures. In each case we have finitary and continuous versions. The four cases are: Hausdorff metrics from quantitive semilattices; pWasserstein metrics (hence also the Kantorovich metric) from barycentric algebras and also from pointed...

  13. "Critique of intuitive reason"

    Dobrijević Aleksandar


    Full Text Available The author displays and reexamines Hare’s "two-level theory" of normative moral thinking ("intuitive" level and "critical" level, including goals that are intended by its establishing. Given Hare’s holism, the met ethical level, considered as fundamental or the "third" level, has notable effect on process of normative reasoning, especially if it is taken as one of the determinant of the critical moral thin king. Central part of the analysis is examination of utilitarian character of the theory.

  14. Charisma and Moral Reasoning

    Jessica Flanigan


    Full Text Available Charisma is morally problematic insofar as it replaces followers’ capacity to engage in genuine moral reasoning. When followers defer to charismatic leaders and act in ways that are morally wrong they are not only blameworthy for wrongdoing but for failing in their deliberative obligations. Even when followers defer to charismatic leaders and do the right thing, their action is less praiseworthy to the extent that it was the result of charisma rather than moral deliberation. Therefore, effective charismatic leadership reliably undermines the praiseworthiness and amplifies the blameworthiness of follower’s actions.

  15. SCRY: Enabling quantitative reasoning in SPARQL queries

    Meroño-Peñuela, A.; Stringer, Bas; Loizou, Antonis; Abeln, Sanne; Heringa, Jaap


    The inability to include quantitative reasoning in SPARQL queries slows down the application of Semantic Web technology in the life sciences. SCRY, our SPARQL compatible service layer, improves this by executing services at query time and making their outputs query-accessible, generating RDF data on

  16. Children's Gender-Based Reasoning about Toys.

    Martin, Carol Lynn; And Others


    Three studies examined how preschool children used gender-based reasoning in making judgments about toy preferences for themselves and for others. Found that children used gender labels to guide their own preferences and their expectations of others. Even with very attractive toys, children liked the toys less if they were labeled as being for the…

  17. Individual differences in conflict detection during reasoning.

    Frey, Darren; Johnson, Eric D; De Neys, Wim


    Decades of reasoning and decision-making research have established that human judgment is often biased by intuitive heuristics. Recent "error" or bias detection studies have focused on reasoners' abilities to detect whether their heuristic answer conflicts with logical or probabilistic principles. A key open question is whether there are individual differences in this bias detection efficiency. Here we present three studies in which co-registration of different error detection measures (confidence, response time and confidence response time) allowed us to assess bias detection sensitivity at the individual participant level in a range of reasoning tasks. The results indicate that although most individuals show robust bias detection, as indexed by increased latencies and decreased confidence, there is a subgroup of reasoners who consistently fail to do so. We discuss theoretical and practical implications for the field.

  18. Towards Automated Reasoning on ORM Schemes

    Jarrar, Mustafa

    The goal of this article is to formalize Object Role Modeling (ORM) using the {DLR} description logic. This would enable automated reasoning on the formal properties of ORM diagrams, such as detecting constraint contradictions and implications. In addition, the expressive, methodological, and graphical capabilities of ORM make it a good candidate for use as a graphical notation for most description logic languages. In this way, industrial experts who are not IT savvy will still be able to build and view axiomatized theories (such as ontologies, business rules, etc.) without needing to know the logic or reasoning foundations underpinning them. Our formalization in this paper is structured as 29 formalization rules, that map all ORM primitives and constraints into {DLR}, and 2 exceptions of complex cases. To this end, we illustrate the implementation of our formalization as an extension to DogmaModeler, which automatically maps ORM into DIG and uses Racer as a background reasoning engine to reason about ORM diagrams.

  19. Alternatives in Pragmatic Reasoning

    Degen, Judith


    In the face of underspecified utterances, listeners routinely and without much apparent effort make the right kinds of pragmatic inferences about a speaker's intended meaning. This dissertation investigates the processing of scalar implicatures as a way of addressing how listeners perform this remarkable feat. In particular, the role of context in…

  20. Spaghetti Sine Curves: Virtual Environments for Reasoning and Sense Making

    Özgün-Koca, S. Asli; Edwards, Michael Todd; Meagher, Michael


    In a recent collaboration with an area high school teacher, the authors were asked to develop an introductory sinusoidal curves lesson for a group of second-year algebra students. Because the topic was abstract and unfamiliar to these tenth graders, they looked for hands-on lessons to support their learning. One lesson that they found, which they…

  1. The Adolescent Brain: Learning, Reasoning, and Decision Making

    Reyna, Valerie F., Ed.; Chapman, Sandra B., Ed.; Dougherty, Michael R., Ed.; Confrey, Jere, Ed.


    The period from adolescence through young adulthood is one of great promise and vulnerability. As teenagers approach maturity, they must develop and apply the skills and habits necessary to navigate adulthood and compete in an ever more technological and globalized world. But as parents and researchers have long known, there is a crucial dichotomy…

  2. Two Reasons I Make the Time To Prevent Diabetes


    This podcast delivers a diabetes prevention message tailored for Asian Americans.  Created: 11/1/2007 by National Diabetes Education Program (NDEP), a joint program of the Centers for Disease Control and Prevention and the National Institutes of Health.   Date Released: 11/21/2007.

  3. 29 CFR 1630.9 - Not making reasonable accommodation.


    ... assistance authorized by section 506 of the ADA, including any failure in the development or dissemination of... functions of the position held or desired, and cannot, as a result of that rejection, perform the essential functions of the position, the individual will not be considered a qualified individual with a disability. ...

  4. Heuristic reasoning and relative incompleteness

    Treur, J.


    In this paper an approach is presented in which heuristic reasoning is interpreted as strategic reasoning. This type of reasoning enables one to derive which hypothesis to investigate, and which observable information to acquire next (to be able to verify the chosen hypothesis). A compositional architecture for reasoning systems that perform such heuristic reasoning is introduced, called SIX (for Strategic Interactive eXpert systems). This compositional architecture enables user interaction a...

  5. The Christological Ontology of Reason

    Nissen, Ulrik Becker


    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 treated in the essay. Here it is argued that Bonhoeffer may be appropriated in attempting to outline a Christological ontology of reason holding essential implications for the sources and conditions of public discourse....

  6. Two kinds of reasoning.

    Rips, L J


    According to one view of reasoning, people can evaluate arguments in at least two qualitatively different ways: in terms of their deductive correctness and in terms of their inductive strength. According to a second view, assessments of both correctness and strength are a function of an argument's position on a single psychological continuum (e.g., subjective conditional probability). A deductively correct argument is one with the maximum value on this continuum; a strong argument is one with a high value. The present experiment tested these theories by asking participants to evaluate the same set of arguments for correctness and strength. The results produced an interaction between type of argument and instructions: In some conditions, participants judged one argument deductively correct more often than a second, but judged the second argument inductively strong more often than the first. This finding supports the view that people have distinct ways to evaluate arguments.

  7. Using Relational Reasoning Strategies to Help Improve Clinical Reasoning Practice.

    Dumas, Denis; Torre, Dario M; Durning, Steven J


    Clinical reasoning-the steps up to and including establishing a diagnosis and/or therapy-is a fundamentally important mental process for physicians. Unfortunately, mounting evidence suggests that errors in clinical reasoning lead to substantial problems for medical professionals and patients alike, including suboptimal care, malpractice claims, and rising health care costs. For this reason, cognitive strategies by which clinical reasoning may be improved-and that many expert clinicians are already using-are highly relevant for all medical professionals, educators, and learners.In this Perspective, the authors introduce one group of cognitive strategies-termed relational reasoning strategies-that have been empirically shown, through limited educational and psychological research, to improve the accuracy of learners' reasoning both within and outside of the medical disciplines. The authors contend that relational reasoning strategies may help clinicians to be metacognitive about their own clinical reasoning; such strategies may also be particularly well suited for explicitly organizing clinical reasoning instruction for learners. Because the particular curricular efforts that may improve the relational reasoning of medical students are not known at this point, the authors describe the nature of previous research on relational reasoning strategies to encourage the future design, implementation, and evaluation of instructional interventions for relational reasoning within the medical education literature. The authors also call for continued research on using relational reasoning strategies and their role in clinical practice and medical education, with the long-term goal of improving diagnostic accuracy.

  8. Artificial intelligence approach to legal reasoning

    Gardner, A.V.D.L.


    For artificial intelligence, understanding the forms of human reasoning is a central goal. Legal reasoning is a form that makes a new set of demands on artificial intelligence methods. Most importantly, a computer program that reasons about legal problems must be able to distinguish between questions it is competent to answer and questions that human lawyers could seriously argue either way. In addition, a program for analyzing legal problems should be able to use both general legal rules and decisions in past cases; and it should be able to work with technical concepts that are only partly defined and subject to shifts of meaning. Each of these requirements has wider applications in artificial intelligence, beyond the legal domain. This dissertation presents a computational framework for legal reasoning, within which such requirements can be accommodated. The development of the framework draws significantly on the philosophy of law, in which the elucidation of legal reasoning is an important topic. A key element of the framework is the legal distinction between hard cases and clear cases. In legal writing, this distinction has been taken for granted more often than it has been explored. Here, some initial heuristics are proposed by which a program might make the distinction

  9. Exploring students’ adaptive reasoning skills and van Hiele levels of geometric thinking: a case study in geometry

    Rizki, H. T. N.; Frentika, D.; Wijaya, A.


    This study aims to explore junior high school students’ adaptive reasoning and the Van Hiele level of geometric thinking. The present study was a quasi-experiment with the non-equivalent control group design. The participants of the study were 34 seventh graders and 35 eighth graders in the experiment classes and 34 seventh graders and 34 eighth graders in the control classes. The students in the experiment classes learned geometry under the circumstances of a Knisley mathematical learning. The data were analyzed quantitatively by using inferential statistics. The results of data analysis show an improvement of adaptive reasoning skills both in the grade seven and grade eight. An improvement was also found for the Van Hiele level of geometric thinking. These results indicate the positive impact of Knisley learning model on students’ adaptive reasoning skills and Van Hiele level of geometric thinking.

  10. Reason with me : 'Confabulation' and interpersonal moral reasoning

    Nyholm, S.R.


    According to Haidt’s ‘social intuitionist model’, empirical moral psychology supports the following conclusion: intuition comes first, strategic reasoning second. Critics have responded by arguing that intuitions can depend on non-conscious reasons, that not being able to articulate one’s reasons

  11. Motivated reasoning during recruitment.

    Kappes, Heather Barry; Balcetis, Emily; De Cremer, David


    This research shows how job postings can lead job candidates to see themselves as particularly deserving of hiring and high salary. We propose that these entitlement beliefs entail both personal motivations to see oneself as deserving and the ability to justify those motivated judgments. Accordingly, we predict that people feel more deserving when qualifications for a job are vague and thus amenable to motivated reasoning, whereby people use information selectively to reach a desired conclusion. We tested this hypothesis with a 2-phase experiment (N = 892) using materials drawn from real online job postings. In the first phase of the experiment, participants believed themselves to be more deserving of hiring and deserving of higher pay after reading postings composed of vaguer types of qualifications. In the second phase, yoked observers believed that participants were less entitled overall, but did not selectively discount endorsement of vaguer qualifications, suggesting they were unaware of this effect. A follow-up preregistered experiment (N = 905) using postings with mixed qualification types replicated the effect of including more vague qualifications on participants' entitlement beliefs. Entitlement beliefs are widely seen as problematic for recruitment and retention, and these results suggest that reducing the inclusion of vague qualifications in job postings would dampen the emergence of these beliefs in applicants, albeit at the cost of decreasing application rates and lowering applicants' confidence. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  12. Anthropomorphic reasoning about neuromorphic AGI safety

    Jilk, David J.; Herd, Seth J.; Read, Stephen J.; O'Reilly, Randall C.


    One candidate approach to creating artificial general intelligence (AGI) is to imitate the essential computations of human cognition. This process is sometimes called 'reverse-engineering the brain' and the end product called 'neuromorphic.' We argue that, unlike with other approaches to AGI, anthropomorphic reasoning about behaviour and safety concerns is appropriate and crucial in a neuromorphic context. Using such reasoning, we offer some initial ideas to make neuromorphic AGI safer. In particular, we explore how basic drives that promote social interaction may be essential to the development of cognitive capabilities as well as serving as a focal point for human-friendly outcomes.

  13. Structure induction in diagnostic causal reasoning.

    Meder, Björn; Mayrhofer, Ralf; Waldmann, Michael R


    Our research examines the normative and descriptive adequacy of alternative computational models of diagnostic reasoning from single effects to single causes. Many theories of diagnostic reasoning are based on the normative assumption that inferences from an effect to its cause should reflect solely the empirically observed conditional probability of cause given effect. We argue against this assumption, as it neglects alternative causal structures that may have generated the sample data. Our structure induction model of diagnostic reasoning takes into account the uncertainty regarding the underlying causal structure. A key prediction of the model is that diagnostic judgments should not only reflect the empirical probability of cause given effect but should also depend on the reasoner's beliefs about the existence and strength of the link between cause and effect. We confirmed this prediction in 2 studies and showed that our theory better accounts for human judgments than alternative theories of diagnostic reasoning. Overall, our findings support the view that in diagnostic reasoning people go "beyond the information given" and use the available data to make inferences on the (unobserved) causal rather than on the (observed) data level. (c) 2014 APA, all rights reserved.

  14. Clinical Reasoning in Medicine: A Concept Analysis

    Shahram Yazdani


    Full Text Available Background: Clinical reasoning plays an important role in the ability of physicians to make diagnoses and decisions. It is considered the physician’s most critical competence, but it is an ambiguous conceptin medicine that needs a clear analysis and definition. Our aim was to clarify the concept of clinical reasoning in medicine by identifying its components and to differentiate it from other similar concepts.It is necessary to have an operational definition of clinical reasoning, and its components must be precisely defined in order to design successful interventions and use it easily in future research.Methods: McKenna’s nine-step model was applied to facilitate the clarification of the concept of clinical reasoning. The literature for this concept analysis was retrieved from several databases, including Scopus, Elsevier, PubMed, ISI, ISC, Medline, and Google Scholar, for the years 1995– 2016 (until September 2016. An extensive search of the literature was conducted using the electronic database. Accordingly, 17 articles and one book were selected for the review. We applied McKenna’s method of concept analysis in studying clinical reasoning, so that definitional attributes, antecedents, and consequences of this concept were extracted.Results: Clinical reasoning has nine major attributes in medicine. These attributes include: (1 clinical reasoning as a cognitive process; (2 knowledge acquisition and application of different types of knowledge; (3 thinking as a part of the clinical reasoning process; (4 patient inputs; (5 contextdependent and domain-specific processes; (6 iterative and complex processes; (7 multi-modal cognitive processes; (8 professional principles; and (9 health system mandates. These attributes are influenced by the antecedents of workplace context, practice frames of reference, practice models of the practitioner, and clinical skills. The consequences of clinical reasoning are the metacognitive improvement of

  15. Component Processes in Analogical Reasoning

    Sternberg, Robert J.


    Describes alternative theoretical positions regarding (a) the component information processes used in analogical reasoning and (b) strategies for combining these processes. Also presents results from three experiments on analogical reasoning. (Author/RK)

  16. Preferential reasoning for modal logics

    Britz, K


    Full Text Available Modal logic is the foundation for a versatile and well-established class of knowledge representation formalisms in artificial intelligence. Enriching modal logics with non-monotonic reasoning capabilities such as preferential reasoning as developed...

  17. Improving global health: counting reasons why.

    Selgelid, Michael J


    This paper examines cumulative ethical and self-interested reasons why wealthy developed nations should be motivated to do more to improve health care in developing countries. Egalitarian and human rights reasons why wealthy nations should do more to improve global health are that doing so would (1) promote equality of opportunity (2) improve the situation of the worst-off, (3) promote respect of the human right to have one's most basic needs met, and (4) reduce undeserved inequalities in well-being. Utilitarian reasons for improving global health are that this would (5) promote the greater good of humankind, and (6) achieve enormous benefits while requiring only small sacrifices. Libertarian reasons are that this would (7) amend historical injustices and (8) meet the obligation to amend injustices that developed world countries have contributed to. Self-interested reasons why wealthy nations should do more to improve global health are that doing so would (9) reduce the threat of infectious diseases to developed countries, (10) promote developed countries' economic interests, and (11) promote global security. All of these reasons count, and together they add up to make an overwhelmingly powerful case for change. Those opposed to wealthy government funding of developing world health improvement would most likely appeal, implicitly or explicitly to the idea that coercive taxation for redistributive purposes would violate the right of an individual to keep his hard-earned income. The idea that this reason not to improve global health should outweigh the combination of rights and values embodied in the eleven reasons enumerated above, however is implausibly extreme, morally repugnant and perhaps imprudent.

  18. Analogical Reasoning in Geometry Education

    Magdas, Ioana


    The analogical reasoning isn't used only in mathematics but also in everyday life. In this article we approach the analogical reasoning in Geometry Education. The novelty of this article is a classification of geometrical analogies by reasoning type and their exemplification. Our classification includes: analogies for understanding and setting a…

  19. Heuristic reasoning and relative incompleteness

    Treur, J.


    In this paper an approach is presented in which heuristic reasoning is interpreted as strategic reasoning. This type of reasoning enables one to derive which hypothesis to investigate, and which observable information to acquire next (to be able to verify the chosen hypothesis). A compositional

  20. Heuristic Elements of Plausible Reasoning.

    Dudczak, Craig A.

    At least some of the reasoning processes involved in argumentation rely on inferences which do not fit within the traditional categories of inductive or deductive reasoning. The reasoning processes involved in plausibility judgments have neither the formal certainty of deduction nor the imputed statistical probability of induction. When utilizing…

  1. Analogical Reasoning and Computer Programming.

    Clement, Catherine A.; And Others


    A study of correlations between analogical reasoning and Logo programming mastery among female high school students related the results of pretests of analogical reasoning to posttests of programming mastery. A significant correlation was found between analogical reasoning and the ability to write subprocedures for use in several different…

  2. The effects of reasons given for ineligibility on perceived gender discrimination and feelings of injustice.

    Kappen, D M; Branscombe, N R


    We examine whether the reason given for a negative outcome influences the likelihood of making gender discrimination attributions. Men and women were given one of four reasons for their ineligibility to attend an event: an explicit gender reason, a reason based on an attribute correlated with gender, that same gender-related reason with explanatory information attached, or they were given no reason. Providing participants with a reason based on a gender-related attribute deflected them from making attributions to gender discrimination, indicating that discrimination attributions can easily be averted. Adding explanatory information to the gender-related reason decreased feelings of injustice, illegitimacy and anger while increasing acceptance of the outcome.

  3. [Clinical reasoning in undergraduate nursing education: a scoping review].

    Menezes, Sáskia Sampaio Cipriano de; Corrêa, Consuelo Garcia; Silva, Rita de Cássia Gengo E; Cruz, Diná de Almeida Monteiro Lopes da


    This study aimed at analyzing the current state of knowledge on clinical reasoning in undergraduate nursing education. A systematic scoping review through a search strategy applied to the MEDLINE database, and an analysis of the material recovered by extracting data done by two independent reviewers. The extracted data were analyzed and synthesized in a narrative manner. From the 1380 citations retrieved in the search, 23 were kept for review and their contents were summarized into five categories: 1) the experience of developing critical thinking/clinical reasoning/decision-making process; 2) teaching strategies related to the development of critical thinking/clinical reasoning/decision-making process; 3) measurement of variables related to the critical thinking/clinical reasoning/decision-making process; 4) relationship of variables involved in the critical thinking/clinical reasoning/decision-making process; and 5) theoretical development models of critical thinking/clinical reasoning/decision-making process for students. The biggest challenge for developing knowledge on teaching clinical reasoning seems to be finding consistency between theoretical perspectives on the development of clinical reasoning and methodologies, methods, and procedures in research initiatives in this field.

  4. Evidential reasoning research on intrusion detection

    Wang, Xianpei; Xu, Hua; Zheng, Sheng; Cheng, Anyu


    In this paper, we mainly aim at D-S theory of evidence and the network intrusion detection these two fields. It discusses the method how to apply this probable reasoning as an AI technology to the Intrusion Detection System (IDS). This paper establishes the application model, describes the new mechanism of reasoning and decision-making and analyses how to implement the model based on the synscan activities detection on the network. The results suggest that if only rational probability values were assigned at the beginning, the engine can, according to the rules of evidence combination and hierarchical reasoning, compute the values of belief and finally inform the administrators of the qualities of the traced activities -- intrusions, normal activities or abnormal activities.

  5. The Christological Ontology of Reason

    Nissen, Ulrik Becker


    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...

  6. Distributed tactical reasoning framework for intelligent vehicles

    Sukthankar, Rahul; Pomerleau, Dean A.; Thorpe, Chuck E.


    In independent vehicle concepts for the Automated Highway System (AHS), the ability to make competent tactical-level decisions in real-time is crucial. Traditional approaches to tactical reasoning typically involve the implementation of large monolithic systems, such as decision trees or finite state machines. However, as the complexity of the environment grows, the unforeseen interactions between components can make modifications to such systems very challenging. For example, changing an overtaking behavior may require several, non-local changes to car-following, lane changing and gap acceptance rules. This paper presents a distributed solution to the problem. PolySAPIENT consists of a collection of autonomous modules, each specializing in a particular aspect of the driving task - classified by traffic entities rather than tactical behavior. Thus, the influence of the vehicle ahead on the available actions is managed by one reasoning object, while the implications of an approaching exit are managed by another. The independent recommendations form these reasoning objects are expressed in the form of votes and vetos over a 'tactical action space', and are resolved by a voting arbiter. This local independence enables PolySAPIENT reasoning objects to be developed independently, using a heterogenous implementation. PolySAPIENT vehicles are implemented in the SHIVA tactical highway simulator, whose vehicles are based on the Carnegie Mellon Navlab robots.

  7. Critique of historical reason

    David B. Richardson


    Full Text Available El enfoque aquí desarrollado presupone una nueva visión del mundo civilizado (Weltanschauungen. La idea del historiador de los hechos históricos presupone una visión global del mundo, a excepción de las sociedades que carecen de un lenguaje escrito. Por eso, la razón histórica discutida aquí se limita al tipo de historia que trata de civilizaciones más elevadas. El análisis de visiones del mundo aquí utilizado presupone que los símbolos son muy importantes y que pierden su poder simbólico si se cristalizan en un único sentido. Como en la teoría de Jung, un símbolo tiene la capacidad de estar activo en la mente como un transformador de la conciencia, libre de asociarse con nuevas experiencias y pensamientos. Esta teoría presta especial atención al problema de Dilthey: es decir, el problema de la calidad racional de los hechos históricos. Las visiones del mundo, que dan un significado profundo a muchos hechos históricos, se componen de símbolos y metáforas, incluyendo ideas, imágenes, valores y emociones. Estos tipos de visiones son casi todos instintivos. Es cierto que los historiadores pueden haber formulado, consciente definiciones de estos tipos de visiones del mundo así como ocurrió por las civilizaciones griega y china. Dado que la actual Weltbilt es mucho más compleja e inconsciente, se necesita algo más que una definición lógica para entenderla. Este artículo indica la forma en que puede ser alcanzada una comprensión racional de estas visiones del mundo._____________ABSTRACT:The approach here entertained presupposes a fresh theory of world pictures (Weltanschauungen of higher civilizations. For the historian's idea of historical facts presupposes a world picture, except for societies which lack a written language. That is why the historical reason discussed here is limited to the kind of history which deals with higher civilizations. The analysis of world pictures used here itself presupposes that symbols are

  8. Information processing systems, reasoning modules, and reasoning system design methods

    Hohimer, Ryan E; Greitzer, Frank L; Hampton, Shawn D


    Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoning modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.

  9. Information processing systems, reasoning modules, and reasoning system design methods

    Hohimer, Ryan E.; Greitzer, Frank L.; Hampton, Shawn D.


    Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoning modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.

  10. Information processing systems, reasoning modules, and reasoning system design methods

    Hohimer, Ryan E.; Greitzer, Frank L.; Hampton, Shawn D.


    Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoning modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.

  11. Emotional reasoning and parent-based reasoning in normal children.

    Morren, M.; Muris, P.; Kindt, M.


    A previous study by Muris, Merckelbach, and Van Spauwen demonstrated that children display emotional reasoning irrepective of their anxiety levels. That is when estimating whether a situation is dangerous, childen not only rely on objective danger information but also on their own anciety-response. The present study further examined emotional reasoning in childeren aged 7-13 years (N=508). In addition, it was investigated whether children also show parent-based reasoning, which can be defined...

  12. Mismanagement Reasons of the Projects Execution Phase

    Hatem Khaleefah Al-Agele


    Full Text Available The execution phase of the project is most dangerous and the most drain on the resources during project life cycle, therefore, its need to monitor and control by specialists to exceeded obstructions and achieve the project goals. The study aims to detect the actual reasons behind mismanagement of the execution phase. The study begins with theoretical part, where it deals with the concepts of project, project selection, project management, and project processes. Field part consists of three techniques: 1- brainstorming, 2- open interviews with experts and 3- designed questionnaire (with 49 reason. These reasons result from brainstorming and interviewing with experts., in order to find the real reasons behind mismanagement of the execution phase. The most important reasons which are negatively impact on management of the execution phase that proven by the study were (Inability of company to meet project requirements because it's specialized and / or large project, Multiple sources of decision and overlap in powers, Inadequate planning, Inaccurate estimation of cost, Delayed cash flows by owners, Poor performance of project manager, inefficient decision making process, and the Negative impact of people in the project area. Finally, submitting a set of recommendations which will contribute to overcome the obstructions of successful management of the execution phase.

  13. Icon arrays help younger children's proportional reasoning.

    Ruggeri, Azzurra; Vagharchakian, Laurianne; Xu, Fei


    We investigated the effects of two context variables, presentation format (icon arrays or numerical frequencies) and time limitation (limited or unlimited time), on the proportional reasoning abilities of children aged 7 and 10 years, as well as adults. Participants had to select, between two sets of tokens, the one that offered the highest likelihood of drawing a gold token, that is, the set of elements with the greater proportion of gold tokens. Results show that participants performed better in the unlimited time condition. Moreover, besides a general developmental improvement in accuracy, our results show that younger children performed better when proportions were presented as icon arrays, whereas older children and adults were similarly accurate in the two presentation format conditions. Statement of contribution What is already known on this subject? There is a developmental improvement in proportional reasoning accuracy. Icon arrays facilitate reasoning in adults with low numeracy. What does this study add? Participants were more accurate when they were given more time to make the proportional judgement. Younger children's proportional reasoning was more accurate when they were presented with icon arrays. Proportional reasoning abilities correlate with working memory, approximate number system, and subitizing skills. © 2018 The British Psychological Society.

  14. Inductive Reasoning in Patients with Paranoid Type Schizophrenia

    Mehmet Emrah Karadere; Yasir Safak; Halime Seyma Ozcelik; Emre Demir; Mehmet Hakan Turkcapar


    The goal of our study is to evaluate the decision making and reasoning of the paranoid type schizophrenic patients, and their confidence in reasoning and perseverance in keeping to their decisions via using Reasoning with Inductive Argument Test (RIAT). Thirty-two delusional patients and 30 healthy volunteers were included in the study. After the diagnostic interview was conducted by SCID-I to the patients who were asked to participate in the study, RIAT test was applied by the interviewe...

  15. Information systems outsourcing reasons and risks: a new assessment

    González Ramírez, María Reyes; Gascó Gascó, José Luis; Llopis Taverner, Juan


    Outsourcing is currently going through a stage of unstoppable growth. This paper makes a proposal about the main reasons which may lead firms to adopt Outsourcing in Information Systems services. It will equally analyse the potential risks that IS clients are likely to face. An additional objective is to assess these reasons and risks in the case of large Spanish firms, while simultaneously examining their evolution over time. This study of outsourcing reasons and risks has been carried out f...

  16. Performance-based assessment of scientific reasoning in children

    Lazonder, A.W.; Janssen, N.


    Recent longitudinal and cross-sectional studies have examined how scientific reasoning skills such as experimenting, making inferences and evaluating evidence develop in young science learners. Results, although informative, likely underestimate children’s true capabilities because data in these

  17. Designing to support reasoned imagination through embodied metaphor

    Antle, A.N. (Alissa); Corness, G.; Bakker, S.; Droumeva, M.; Hoven, van den E.A.W.H.; Bevans, A.; Bryan-Kinns, N.


    Supporting users' reasoned imagination in sense making during interaction with tangible and embedded computation involves supporting the application of their existing mental schemata in understanding new forms of interaction. Recent studies that include an embodied metaphor in the interaction model,

  18. Exploratory Talk, Argumentation and Reasoning in Mexican Primary School Children

    Rojas-Drummond, Sylvia; Zapata, Margarita Peon


    The study analyses the effects of training primary school children in the use of a linguistic tool called "Exploratory Talk" (ET) on their capacity for argumentation. ET allows for reasoned confrontation and negotiation of points of view, making the reasoning visible in the talk. Eighty-eight Mexican children from the 5th and 6th grades…

  19. The AORTA Architecture: Integrating Organizational Reasoning in Jason

    Jensen, Andreas Schmidt; Dignum, Virginia; Villadsen, Jørgen


    the expected behavior of the agents. Agents need to be able to reason about the regulations, so that they can act within the expected boundaries and work towards the objectives of the organization. In this paper, we describe the AORTA (Adding Organizational Reasoning to Agents) architecture for making agents...

  20. Australian Curriculum Linked Lessons: Reasoning in Number and Algebra

    Day, Lorraine


    The Reasoning Proficiency in number and algebra is about children making sense of the mathematics by explaining their thinking, giving reasons for their decisions and describing mathematical situations and concepts. Lorraine Day notes, children need to be able to speak, read and write the language of mathematics while investigating pattern and…

  1. Argumentation from reasonableness in the justification of judicial decisions

    Feteris, E.T.; Bustamante, T.; Dahlman, C.


    In legal decision-making reasonableness plays an important role. In the literature, generally speaking, there is a consensus that reasonableness as a norm for judges in the application of law implies that they take into account a combination of different considerations of a normative and factual

  2. 17 CFR 248.124 - Reasonable opportunity to opt out.


    ...” to indicate their opt out preference or that requires the consumer to check one of two blank check... affiliate to make marketing solicitations to a consumer about your products or services unless the consumer... a reasonable opportunity to opt out. The consumer is given a reasonable opportunity to opt out if...

  3. Tracing Young Children's Scientific Reasoning

    Tytler, Russell; Peterson, Suzanne


    This paper explores the scientific reasoning of 14 children across their first two years of primary school. Children's view of experimentation, their approach to exploration, and their negotiation of competing knowledge claims, are interpreted in terms of categories of epistemological reasoning. Children's epistemological reasoning is distinguished from their ability to control variables. While individual children differ substantially, they show a relatively steady growth in their reasoning, with some contextual variation. A number of these children are reasoning at a level well in advance of curriculum expectations, and it is argued that current recommended practice in primary science needs to be rethought. The data is used to explore the relationship between reasoning and knowledge, and to argue that the generation and exploration of ideas must be the key driver of scientific activity in the primary school.

  4. Learning in Order to Reason

    Roth, Dan


    Any theory aimed at understanding commonsense reasoning, the process that humans use to cope with the mundane but complex aspects of the world in evaluating everyday situations, should account for its flexibility, its adaptability, and the speed with which it is performed. In this thesis we analyze current theories of reasoning and argue that they do not satisfy those requirements. We then proceed to develop a new framework for the study of reasoning, in which a learning component has a princ...

  5. Bayesian Reasoning Using 3D Relations for Lane Marker Detection

    Boesman, Bart; Jensen, Lars Baunegaard With; Baseski, Emre


    We introduce a lane marker detection algorithm that integrates 3D attributes as well as 3D relations between local edges and semi-global contours in a Bayesian framework. The algorithm is parameter free and does not make use of any heuristic assumptions. The reasoning is based on the complete...... to the reconstruction process need to be taken into account to make the reasoning process more stable. The results are shown on a publicly available data set....

  6. Clinical reasoning and critical thinking.

    da Silva Bastos Cerullo, Josinete Aparecida; de Almeida Lopes Monteiro da Cruz, Diná


    This study identifies and analyzes nursing literature on clinical reasoning and critical thinking. A bibliographical search was performed in LILACS, SCIELO, PUBMED and CINAHL databases, followed by selection of abstracts and the reading of full texts. Through the review we verified that clinical reasoning develops from scientific and professional knowledge, is permeated by ethical decisions and nurses values and also that there are different personal and institutional strategies that might improve the critical thinking and clinical reasoning of nurses. Further research and evaluation of educational programs on clinical reasoning that integrate psychosocial responses to physiological responses of people cared by nurses is needed.

  7. Public policy, rationality and reason

    Rodolfo Canto Sáenz


    Full Text Available This work suggests the incorporation of practical reason in the design, implementation and evaluation of public policies, alongside instrumental rationality. It takes two proposals that today point in this direction: Rawls distinction between reasonable (practical reason and rational (instrumental reason and what this author calls the CI Procedure (categorical imperative procedure and Habermas model of deliberative democracy. The main conclusion is that the analysis of public policies can not be limited to rather narrow limits of science, but requires the contribution of political and moral philosophy.

  8. Making connections

    Hilton, Annette

    will be in the form of a presentation to outline for teachers the different applications of proportional reasoning across science subjects in upper primary and lower secondary schools. It will use examples from the Danish science curriculum to show teachers where and how proportional reasoning applies...

  9. Ethical decision-making, passivity and pharmacy

    Cooper, R.J.; Bissell, P.; Wingfield, J.


    Background: Increasing interest in empirical ethics has enhanced understanding of healthcare professionals' ethical problems and attendant decision-making. A four-stage decision-making model involving ethical attention, reasoning, intention and action offers further insights into how more than reasoning alone may contribute to decision-making.\\ud \\ud Aims: To explore how the four-stage model can increase understanding of decision-making in healthcare and describe the decision-making of an und...

  10. Faulty judgment, expert opinion, and decision-making capacity.

    Silberfeld, M; Checkland, D


    An assessment of decision-making capacity is the accepted procedure for determining when a person is not competent. An inferential gap exists between the criteria for capacity specific abilities and the legal requirements to understand relevant information and appreciate the consequences of a decision. This gap extends to causal influences on a person's capacity to decide. Using a published case of depression, we illustrate that assessors' uses of diagnostic information is frequently not up to the task of bridging this inferential gap in a justifiable way. We then describe cases of faulty judgement which challenge the understanding of diagnostic causal influences. These cases help to clarify the nature of the expertise required for capacity assessments. In practice, the requirements of decision-making capacity are often abandoned to other considerations due to a lack of requisite expertise. The legal policy supporting decision-making capacity as a means to protective intervention is justified only if the requisite expertise is developed. We propose the requisite expertise to be developed in the long term as a distinct multidisciplinary endeavour.

  11. Heuristics Reasoning in Diagnostic Judgment.

    O'Neill, Eileen S.


    Describes three heuristics--short-cut mental strategies that streamline information--relevant to diagnostic reasoning: accessibility, similarity, and anchoring and adjustment. Analyzes factors thought to influence heuristic reasoning and presents interventions to be tested for nursing practice and education. (JOW)

  12. Hurrah for the Reasonable Woman.

    Leland, Dorothy


    Recent court cases on sexual harassment, and the outcomes, were reviewed in terms of how the court viewed a "reasonable" woman. Rulings in such cases can vary because of different interpretations of the "reasonable" concept. Also discusses how recent rulings will affect sexual harassment policymakers in the workplace and educational institutions.…

  13. Competent Reasoning with Rational Numbers.

    Smith, John P. III


    Analyzed students' reasoning with fractions. Found that skilled students applied strategies specifically tailored to restricted classes of fractions and produced reliable solutions with a minimum of computation effort. Results suggest that competent reasoning depends on a knowledge base that includes numerically specific and invented strategies,…

  14. Moral Reasoning in Genetics Education

    van der Zande, Paul; Brekelmans, Mieke; Vermunt, Jan D.; Waarlo, Arend Jan


    Recent neuropsychological research suggests that intuition and emotion play a role in our reasoning when we are confronted with moral dilemmas. Incorporating intuition and emotion into moral reflection is a rather new idea in the educational world, where rational reasoning is preferred. To develop a teaching and learning strategy to address this…

  15. Logic, reasoning, and verbal behavior

    Terrell, Dudley J.; Johnston, J. M.


    This paper analyzes the traditional concepts of logic and reasoning from the perspective of radical behaviorism and in the terms of Skinner's treatment of verbal behavior. The topics covered in this analysis include the proposition, premises and conclusions, logicality and rules, and deductive and inductive reasoning.

  16. Cultural Differences in Justificatory Reasoning

    Soong, Hannah; Lee, Richard; John, George


    Justificatory reasoning, the ability to justify one's beliefs and actions, is an important goal of education. We develop a scale to measure the three forms of justificatory reasoning--absolutism, relativism, and evaluativism--before validating the scale across two cultures and domains. The results show that the scale possessed validity and…

  17. Human reasoning and cognitive science

    Stenning, K.; van Lambalgen, M.


    In Human Reasoning and Cognitive Science, Keith Stenning and Michiel van Lambalgen—a cognitive scientist and a logician—argue for the indispensability of modern mathematical logic to the study of human reasoning. Logic and cognition were once closely connected, they write, but were "divorced" in the

  18. Archivists Killed for Political Reasons

    de Baets, Antoon


    This essay, Archivists Killed for Political Reasons, offers an overview of archivists who were killed for political reasons through the ages. After determining the criteria for inclusion, sixteen such political murders of archivists are briefly discussed. These cases were distributed over six

  19. Learning to reason from samples

    Ben-Zvi, Dani; Bakker, Arthur; Makar, Katie


    The goal of this article is to introduce the topic of learning to reason from samples, which is the focus of this special issue of Educational Studies in Mathematics on statistical reasoning. Samples are data sets, taken from some wider universe (e.g., a population or a process) using a particular

  20. From Inductive Reasoning to Proof

    Yopp, David A.


    Mathematical proof is an expression of deductive reasoning (drawing conclusions from previous assertions). However, it is often inductive reasoning (conclusions drawn on the basis of examples) that helps learners form their deductive arguments, or proof. In addition, not all inductive arguments generate more formal arguments. This article draws a…

  1. Adversarial reasoning: challenges and approaches

    Kott, Alexander; Ownby, Michael


    This paper defines adversarial reasoning as computational approaches to inferring and anticipating an enemy's perceptions, intents and actions. It argues that adversarial reasoning transcends the boundaries of game theory and must also leverage such disciplines as cognitive modeling, control theory, AI planning and others. To illustrate the challenges of applying adversarial reasoning to real-world problems, the paper explores the lessons learned in the CADET -- a battle planning system that focuses on brigade-level ground operations and involves adversarial reasoning. From this example of current capabilities, the paper proceeds to describe RAID -- a DARPA program that aims to build capabilities in adversarial reasoning, and how such capabilities would address practical requirements in Defense and other application areas.

  2. Improving statistical reasoning theoretical models and practical implications

    Sedlmeier, Peter


    This book focuses on how statistical reasoning works and on training programs that can exploit people''s natural cognitive capabilities to improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology and instructional theory are shown to have substantially larger effects that are more stable over time than previous training regimens. The theoretical implications are traced in a neural network model of human performance on statistical reasoning problems. This book apppeals to judgment and decision making researchers and other cognitive scientists, as well as to teachers of statistics and probabilistic reasoning.

  3. Students' reasons for preferring teleological explanations

    Trommler, Friederike; Gresch, Helge; Hammann, Marcus


    The teleological bias, a major learning obstacle, involves explaining biological phenomena in terms of purposes and goals. To probe the teleological bias, researchers have used acceptance judgement tasks and preference judgement tasks. In the present study, such tasks were used with German high school students (N = 353) for 10 phenomena from human biology, that were explained both teleologically and causally. A sub-sample (n = 26) was interviewed about the reasons for their preferences. The results showed that the students favoured teleological explanations over causal explanations. Although the students explained their preference judgements etiologically (i.e. teleologically and causally), they also referred to a wide range of non-etiological criteria (i.e. familiarity, complexity, relevance and five more criteria). When elaborating on their preference for causal explanations, the students often focused not on the causality of the phenomenon, but on mechanisms whose complexity they found attractive. When explaining their preference for teleological explanations, they often focused not teleologically on purposes and goals, but rather on functions, which they found familiar and relevant. Generally, students' preference judgements rarely allowed for making inferences about causal reasoning and teleological reasoning, an issue that is controversial in the literature. Given that students were largely unaware of causality and teleology, their attention must be directed towards distinguishing between etiological and non-etiological reasoning. Implications for educational practice as well as for future research are discussed.

  4. Meta-Reasoning: Monitoring and Control of Thinking and Reasoning.

    Ackerman, Rakefet; Thompson, Valerie A


    Meta-Reasoning refers to the processes that monitor the progress of our reasoning and problem-solving activities and regulate the time and effort devoted to them. Monitoring processes are usually experienced as feelings of certainty or uncertainty about how well a process has, or will, unfold. These feelings are based on heuristic cues, which are not necessarily reliable. Nevertheless, we rely on these feelings of (un)certainty to regulate our mental effort. Most metacognitive research has focused on memorization and knowledge retrieval, with little attention paid to more complex processes, such as reasoning and problem solving. In that context, we recently developed a Meta-Reasoning framework, used here to review existing findings, consider their consequences, and frame questions for future research. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. To Reason or Not to Reason: Is Autobiographical Reasoning Always Beneficial?

    McLean, Kate C.; Mansfield, Cade D.


    Autobiographical reasoning has been found to be a critical process in identity development; however, the authors suggest that existing research shows that such reasoning may not always be critical to another important outcome: well-being. The authors describe characteristics of people such as personality and age, contexts such as conversations,…

  6. Approximate reasoning in physical systems

    Mutihac, R.


    The theory of fuzzy sets provides excellent ground to deal with fuzzy observations (uncertain or imprecise signals, wavelengths, temperatures,etc.) fuzzy functions (spectra and depth profiles) and fuzzy logic and approximate reasoning. First, the basic ideas of fuzzy set theory are briefly presented. Secondly, stress is put on application of simple fuzzy set operations for matching candidate reference spectra of a spectral library to an unknown sample spectrum (e.g. IR spectroscopy). Thirdly, approximate reasoning is applied to infer an unknown property from information available in a database (e.g. crystal systems). Finally, multi-dimensional fuzzy reasoning techniques are suggested. (Author)

  7. Nash Equilibria in Theory of Reasoned Action

    Almeida, Leando; Cruz, José; Ferreira, Helena; Pinto, Alberto Adrego


    Game theory and Decision Theory have been applied to many different areas such as Physics, Economics, Biology, etc. In its application to Psychology, we introduce, in the literature, a Game Theoretical Model of Planned Behavior or Reasoned Action by establishing an analogy between two specific theories. In this study we take in account that individual decision-making is an outcome of a process where group decisions can determine individual probabilistic behavior. Using Game Theory concepts, we describe how intentions can be transformed in behavior and according to the Nash Equilibrium, this process will correspond to the best individual decision/response taking in account the collective response. This analysis can be extended to several examples based in the Game Theoretical Model of Planned Behavior or Reasoned Action.

  8. Human reproductive cloning and reasons for deprivation.

    Jensen, D A


    Human reproductive cloning provides the possibility of genetically related children for persons for whom present technologies are ineffective. I argue that the desire for genetically related children is not, by itself, a sufficient reason to engage in human reproductive cloning. I show this by arguing that the value underlying the desire for genetically related children implies a tension between the parent and the future child. This tension stems from an instance of a deprivation and violates a general principle of reasons for deprivation. Alternative considerations, such as a right to procreative autonomy, do not appear helpful in making the case for human reproductive cloning merely on the basis of the desire for genetically related children.

  9. Structured statistical models of inductive reasoning.

    Kemp, Charles; Tenenbaum, Joshua B


    Everyday inductive inferences are often guided by rich background knowledge. Formal models of induction should aim to incorporate this knowledge and should explain how different kinds of knowledge lead to the distinctive patterns of reasoning found in different inductive contexts. This article presents a Bayesian framework that attempts to meet both goals and describes [corrected] 4 applications of the framework: a taxonomic model, a spatial model, a threshold model, and a causal model. Each model makes probabilistic inferences about the extensions of novel properties, but the priors for the 4 models are defined over different kinds of structures that capture different relationships between the categories in a domain. The framework therefore shows how statistical inference can operate over structured background knowledge, and the authors argue that this interaction between structure and statistics is critical for explaining the power and flexibility of human reasoning.

  10. Artificial intelligence: Deep neural reasoning

    Jaeger, Herbert


    The human brain can solve highly abstract reasoning problems using a neural network that is entirely physical. The underlying mechanisms are only partially understood, but an artificial network provides valuable insight. See Article p.471

  11. Fuzzy reasoning on Horn Set

    Liu, X.; Fang, K.


    A theoretical study in fuzzy reasoning on Horn Set is presented in this paper. The authors first introduce the concepts of λ-Horn Set of clauses and λ-Input Half Lock deduction. They then use the λ-resolution method to discuss fuzzy reasoning on λ-Horn set of clauses. It is proved that the proposed λ-Input Half Lock resolution method is complete with the rules in certain format

  12. Improving practical reasoning and argumentation

    Baumtrog, Michael David


    This thesis justifies the need for and develops a new integrated model of practical reasoning and argumentation. After framing the work in terms of what is reasonable rather than what is rational (chapter 1), I apply the model for practical argumentation analysis and evaluation provided by Fairclough and Fairclough (2012) to a paradigm case of unreasonable individual practical argumentation provided by mass murderer Anders Behring Breivik (chapter 2). The application shows that by following t...

  13. Conditional Reasoning in Schizophrenic Patients.

    Kornreich, Charles; Delle-Vigne, Dyna; Brevers, Damien; Tecco, Juan; Campanella, Salvatore; Noël, Xavier; Verbanck, Paul; Ermer, Elsa


    Conditional reasoning (if p then q) is used very frequently in everyday situations. Conditional reasoning is impaired in brain-lesion patients, psychopathy, alcoholism, and polydrug dependence. Many neurocognitive deficits have also been described in schizophrenia. We assessed conditional reasoning in 25 patients with schizophrenia, 25 depressive patients, and 25 controls, using the Wason selection task in three different domains: social contracts, precautionary rules, and descriptive rules. Control measures included depression, anxiety, and severity of schizophrenia measures as a Verbal Intelligence Scale. Patients with schizophrenia were significantly impaired on all conditional reasoning tasks compared to depressives and controls. However, the social contract and precautions tasks yielded better results than the descriptive tasks. Differences between groups disappeared for social contract but remained for precautions and descriptive tasks when verbal intelligence was used as a covariate. These results suggest that domain-specific reasoning mechanisms, proposed by evolutionary psychologists, are relatively resilient in the face of brain network disruptions that impair more general reasoning abilities. Nevertheless, patients with schizophrenia could encounter difficulties understanding precaution rules and social contracts in real-life situations resulting in unwise risk-taking and misunderstandings in the social world.

  14. Decision Making

    Pier Luigi Baldi


    Full Text Available This article points out some conditions which significantly exert an influence upon decision and compares decision making and problem solving as interconnected processes. Some strategies of decision making are also examined.

  15. Descriptive, inferential, functional outcome data on 9,025 torture survivors over six years in the United States.


    The National Consortium of Torture Treatment Programs conducted a large voluntary research project among torture rehabilitation centers in the United States (US). Its goal is to fill the void in the literature on demographic and diagnostic data of torture survivors across a large country. Twenty-three centers across the US collaborated over six years, utilizing training and making decisions via conference calls and webinars. A data use agreement signed by all the participating centers governed plans and the use of the data. This study reports on torture survivors from 125 countries, 109 of which signed the United Nations Convention against Torture (UNCAT). Of the 9,025 torture survivors represented, most came from Africa and Asia and reported an average of 3.5 types of torture. Asylum seekers have different immigration experiences and show significantly higher rates of major depressive disorder (MDD) and posttraumatic stress disorder (PTSD) than refugees. Torture survivors at high risk of PTSD and MDD in this sample reported three or more types of torture, reported rape, and had the immigration status of asylum seeker. At one and two years after beginning treatment, both asylum seekers and refugees reported increased rates of employment and improvements in their immigration status. This longitudinal project provides basic data on a large number of torture survivors who accessed services in the US, and provides a foundation for long-term follow up on immigration status, employment status, diagnostic status, medical diagnoses, and eventually, the effectiveness of treatment for torture survivors in the US. This article shares demographic and diagnostic findings useful for informing programmatic and policy decisions. However, these findings on refugees and asylum seekers in the US may not reflect the experience in other receiving countries. Collaboration with other researchers across continents is required to provide a much needed, more complete picture of torture

  16. Reasons for dropout in swimmers, differences between gender and age and intentions to return to competition.

    Monteiro, Diogo M; Marinho, Daniel A; Moutão, João M; Vitorino, Anabela P; Antunes, Raúl N; Cid, Luís


    This study's main purpose was to analyze reasons for dropout in competitive swimmers and differences between gender and age groups. The influence of dropout on swimmers intentions to return to competition, invariance across gender and validation of Questionnaire of Reasons for Attrition were also analyzed. Study 1 - 366 athletes participated (N.=366; mean age 15.96, SD 5.99) and the data gathered was used for the exploratory analysis, and data gathered on 1008 athletes were used for the confirmatory analysis and the structural equations (N.=1008; mean age 16.26, SD 6.12); Study 2: 1008 athletes participated (N.=1008; mean age 16.26, SD 6.12) on the descriptive and inferential analysis of the reasons behind the practice dropout. The Questionnaire of Reasons Attrition was used in both studies to assess the reasons associated with the practice dropout. In study 1, the results showed an acceptable fit of the measurement model and invariance across gender and also predictive validity regarding swimmers intentions to return to competition (e.g., "demands/pressure" negatively predict intentions). In study 2, the main results showed that the most significant reason for dropout in both genders and all age groups was "dissatisfaction/other priorities"; the study also showed there to be differences between gender and age groups (e.g., female and younger athletes valued "demands/ pressure "more). This study offers useful guidelines for the training process and to support decisions on sports politics to be implemented to overcome the dropout rate. However, it is important to broaden the evidence to other sports and implement programs on identified priority areas based on longitudinal perspectives.

  17. Systematic Clinical Reasoning in Physical Therapy (SCRIPT): Tool for the Purposeful Practice of Clinical Reasoning in Orthopedic Manual Physical Therapy.

    Baker, Sarah E; Painter, Elizabeth E; Morgan, Brandon C; Kaus, Anna L; Petersen, Evan J; Allen, Christopher S; Deyle, Gail D; Jensen, Gail M


    Clinical reasoning is essential to physical therapist practice. Solid clinical reasoning processes may lead to greater understanding of the patient condition, early diagnostic hypothesis development, and well-tolerated examination and intervention strategies, as well as mitigate the risk of diagnostic error. However, the complex and often subconscious nature of clinical reasoning can impede the development of this skill. Protracted tools have been published to help guide self-reflection on clinical reasoning but might not be feasible in typical clinical settings. This case illustrates how the Systematic Clinical Reasoning in Physical Therapy (SCRIPT) tool can be used to guide the clinical reasoning process and prompt a physical therapist to search the literature to answer a clinical question and facilitate formal mentorship sessions in postprofessional physical therapist training programs. The SCRIPT tool enabled the mentee to generate appropriate hypotheses, plan the examination, query the literature to answer a clinical question, establish a physical therapist diagnosis, and design an effective treatment plan. The SCRIPT tool also facilitated the mentee's clinical reasoning and provided the mentor insight into the mentee's clinical reasoning. The reliability and validity of the SCRIPT tool have not been formally studied. Clinical mentorship is a cornerstone of postprofessional training programs and intended to develop advanced clinical reasoning skills. However, clinical reasoning is often subconscious and, therefore, a challenging skill to develop. The use of a tool such as the SCRIPT may facilitate developing clinical reasoning skills by providing a systematic approach to data gathering and making clinical judgments to bring clinical reasoning to the conscious level, facilitate self-reflection, and make a mentored physical therapist's thought processes explicit to his or her clinical mentor. © 2017 American Physical Therapy Association


    Shamima Islam Nipa; Mohammad Mustafa Kamal Rahat Khan; Mohammad Sohrab Hossain; Mohammad Habibur Rahman; Md. Shofiqul Islam


    Background: Clinical reasoning is a thinking and decision making process which occur in clinical practice. It helps the health care providers to solve the clinical problem by using their reasoning process in an effective and efficient manner. Three track reasoning in one of the clinical reasoning process which includes the procedural, interactive and conditional reasoning to diagnose as well as ensure proper rehabilitation service according to patient and patient’s family members’ needs. M...

  19. Judgment and decision making.

    Mellers, B A; Schwartz, A; Cooke, A D


    For many decades, research in judgment and decision making has examined behavioral violations of rational choice theory. In that framework, rationality is expressed as a single correct decision shared by experimenters and subjects that satisfies internal coherence within a set of preferences and beliefs. Outside of psychology, social scientists are now debating the need to modify rational choice theory with behavioral assumptions. Within psychology, researchers are debating assumptions about errors for many different definitions of rationality. Alternative frameworks are being proposed. These frameworks view decisions as more reasonable and adaptive that previously thought. For example, "rule following." Rule following, which occurs when a rule or norm is applied to a situation, often minimizes effort and provides satisfying solutions that are "good enough," though not necessarily the best. When rules are ambiguous, people look for reasons to guide their decisions. They may also let their emotions take charge. This chapter presents recent research on judgment and decision making from traditional and alternative frameworks.

  20. Reasoning and autobiographical memory for personality.

    Fumero, Ascensión; Santamaría, Carlos; Johnson-Laird, P N


    Certain problems are ambiguous and allow deductive or inductive conclusions, for example, If you follow this diet then you lose weight. Ann did not lose weight. Why not? Conscientious individuals who are less open to experience should focus on possibilities consistent with the premises, and make a deduction: Ann did not follow this diet. But, those who are open to experience and not conscientious should go beyond these possibilities, and make an induction, for example, Ann gave up exercising. In an experiment, a group who recalled autobiographical episodes in which they were conscientious and not open to experience made more deductions than a group who recalled episodes in which they had the opposite characteristics. A control group made about equal proportions of deductions and inductions. These results were predicted by the theory that reasoners envisage possibilities, and can focus on those possibilities consistent with the premises or on possibilities outside the premises.

  1. Analogical reasoning in schizophrenic delusions.

    Simpson, Jane; Done, D John


    Reasoning ability has often been argued to be impaired in people with schizophrenic delusions, although evidence for this is far from convincing. This experiment examined the analogical reasoning abilities of several groups of patients, including non-deluded and deluded schizophrenics, to test the hypothesis that performance by the deluded schizophrenic group would be impaired. Eleven deluded schizophrenics, 10 depressed subjects, seven non-deluded schizophrenics and 16 matched non-psychiatric controls, who were matched on a number of key variables, were asked to solve an analogical reasoning task. Performance by the deluded schizophrenic group was certainly impaired when compared with the depressed and non-psychiatric control groups though less convincingly so when compared with the non-deluded schizophrenic group. The impairment shown by the deluded schizophrenic group seemed to occur at the initial stage of the reasoning task. The particular type of impairment shown by the deluded subjects was assessed in relation to other cognitive problems already researched and the implications of these problems on reasoning tasks and theories of delusions was discussed.

  2. Race, Reason and Reasonableness: Toward an "Unreasonable" Pedagogy

    De Lissovoy, Noah


    Starting from the contemporary critical-theoretical notion of an "objective violence" that organizes social reality in capitalism, including processes of systemic racism, as well as from phenomenological inquiries into processes of race and identity, this article explores the relationship between racism and reasonableness in education…

  3. Emotional Reasoning and Parent-Based Reasoning in Normal Children

    Morren, Mattijn; Muris, Peter; Kindt, Merel


    A previous study by Muris, Merckelbach, and Van Spauwen [1] demonstrated that children display emotional reasoning irrespective of their anxiety levels. That is, when estimating whether a situation is dangerous, children not only rely on objective danger information but also on their "own" anxiety-response. The present study further examined…

  4. Emotional reasoning and parent-based reasoning in normal children.

    Morren, M.; Muris, P.; Kindt, M.


    A previous study by Muris, Merckelbach, and Van Spauwen demonstrated that children display emotional reasoning irrepective of their anxiety levels. That is when estimating whether a situation is dangerous, childen not only rely on objective danger information but also on their own anciety-response.

  5. Emotional reasoning and parent-based reasoning in normal children

    Morren, M.; Muris, P.; Kindt, M.


    A previous study by Muris, Merckelbach, and Van Spauwen demonstrated that children display emotional reasoning irrespective of their anxiety levels. That is, when estimating whether a situation is dangerous, children not only rely on objective danger information but also on their own

  6. Diversity-based reasoning in children.

    Heit, E; Hahn, U


    One of the hallmarks of inductive reasoning by adults is the diversity effect, namely that people draw stronger inferences from a diverse set of evidence than from a more homogenous set of evidence. However, past developmental work has not found consistent diversity effects with children age 9 and younger. We report robust sensitivity to diversity in children as young as 5, using everyday stimuli such as pictures of objects with people. Experiment 1 showed the basic diversity effect in 5- to 9-year-olds. Experiment 2 showed that, like adults, children restrict their use of diversity information when making inferences about remote categories. Experiment 3 used other stimulus sets to overcome an alternate explanation in terms of sample size rather than diversity effects. Finally, Experiment 4 showed that children more readily draw on diversity when reasoning about objects and their relations with people than when reasoning about objects' internal, hidden properties, thus partially explaining the negative findings of previous work. Relations to cross-cultural work and models of induction are discussed. Copyright 2001 Academic Press.

  7. Logic, probability, and human reasoning.

    Johnson-Laird, P N; Khemlani, Sangeet S; Goodwin, Geoffrey P


    This review addresses the long-standing puzzle of how logic and probability fit together in human reasoning. Many cognitive scientists argue that conventional logic cannot underlie deductions, because it never requires valid conclusions to be withdrawn - not even if they are false; it treats conditional assertions implausibly; and it yields many vapid, although valid, conclusions. A new paradigm of probability logic allows conclusions to be withdrawn and treats conditionals more plausibly, although it does not address the problem of vapidity. The theory of mental models solves all of these problems. It explains how people reason about probabilities and postulates that the machinery for reasoning is itself probabilistic. Recent investigations accordingly suggest a way to integrate probability and deduction. Copyright © 2015 Elsevier Ltd. All rights reserved.

  8. Uncertain deduction and conditional reasoning.

    Evans, Jonathan St B T; Thompson, Valerie A; Over, David E


    There has been a paradigm shift in the psychology of deductive reasoning. Many researchers no longer think it is appropriate to ask people to assume premises and decide what necessarily follows, with the results evaluated by binary extensional logic. Most every day and scientific inference is made from more or less confidently held beliefs and not assumptions, and the relevant normative standard is Bayesian probability theory. We argue that the study of "uncertain deduction" should directly ask people to assign probabilities to both premises and conclusions, and report an experiment using this method. We assess this reasoning by two Bayesian metrics: probabilistic validity and coherence according to probability theory. On both measures, participants perform above chance in conditional reasoning, but they do much better when statements are grouped as inferences, rather than evaluated in separate tasks.

  9. Nonrational Processes in Ethical Decision Making

    Rogerson, Mark D.; Gottlieb, Michael C.; Handelsman, Mitchell M.; Knapp, Samuel; Younggren, Jeffrey


    Most current ethical decision-making models provide a logical and reasoned process for making ethical judgments, but these models are empirically unproven and rely upon assumptions of rational, conscious, and quasi-legal reasoning. Such models predominate despite the fact that many nonrational factors influence ethical thought and behavior,…

  10. Cognitive Neuroscience of Human Counterfactual Reasoning

    Nicole eVan Hoeck


    Full Text Available Counterfactual reasoning is a hallmark of human thought, enabling the capacity to shift from perceiving the immediate environment to an alternative, imagined perspective. Mental representations of counterfactual possibilities (e.g., imagined past events or future outcomes not yet at hand provide the basis for learning from past experience, enable planning and prediction, support creativity and insight, and give rise to emotions and social attributions (e.g., regret and blame. Yet remarkably little is known about the psychological and neural foundations of counterfactual reasoning. In this review, we survey recent findings from psychology and neuroscience indicating that counterfactual thought depends on an integrative network of systems for affective processing, mental simulation, and cognitive control. We review evidence to elucidate how these mechanisms are systematically altered through psychiatric illness and neurological disease. We propose that counterfactual thinking depends on the coordination of multiple information processing systems that together enable adaptive behavior and goal-directed decision making and make recommendations for the study of counterfactual inference in health, aging, and disease.

  11. Model : making

    Bottle, Neil


    The Model : making exhibition was curated by Brian Kennedy in collaboration with Allies & Morrison in September 2013. For the London Design Festival, the Model : making exhibition looked at the increased use of new technologies by both craft-makers and architectural model makers. In both practices traditional ways of making by hand are increasingly being combined with the latest technologies of digital imaging, laser cutting, CNC machining and 3D printing. This exhibition focussed on ...

  12. Knowledge, decision making, and uncertainty

    Fox, J.


    Artificial intelligence (AI) systems depend heavily upon the ability to make decisions. Decisions require knowledge, yet there is no knowledge-based theory of decision making. To the extent that AI uses a theory of decision-making it adopts components of the traditional statistical view in which choices are made by maximizing some function of the probabilities of decision options. A knowledge-based scheme for reasoning about uncertainty is proposed, which extends the traditional framework but is compatible with it

  13. Inductive and deductive reasoning in obsessive-compulsive disorder.

    Liew, Janice; Grisham, Jessica R; Hayes, Brett K


    This study examined the hypothesis that participants diagnosed with obsessive-compulsive disorder (OCD) show a selective deficit in inductive reasoning but are equivalent to controls in deductive reasoning. Twenty-five participants with OCD and 25 non-clinical controls made inductive and deductive judgments about a common set of arguments that varied in logical validity and the amount of positive evidence provided (premise sample size). A second inductive reasoning task required participants to make forced-choice decisions and rate the usefulness of diverse evidence or non-diverse evidence for evaluating arguments. No differences in deductive reasoning were found between participants diagnosed with OCD and control participants. Both groups saw that the amount of positive evidence supporting a conclusion was an important guide for evaluating inductive arguments. However, those with OCD showed less sensitivity to premise diversity in inductive reasoning than controls. The findings were similar for both emotionally neutral and OCD-relevant stimuli. The absence of a clinical control group means that it is difficult to know whether the deficit in diversity-based reasoning is specific to those with OCD. People with OCD are impaired in some forms of inductive reasoning (using diverse evidence) but not others (use of sample size). Deductive reasoning appears intact in those with OCD. Difficulties using evidence diversity when reasoning inductively may maintain OCD symptoms through reduced generalization of learned safety information. Copyright © 2017 Elsevier Ltd. All rights reserved.

  14. Logical Normativity and Common Sense Reasoning

    Evandro Agazzi


    Full Text Available Logic, considered as a technical discipline inaugurated by Aristotle and typically represented by the variety of the modern logical calculi, constitutes a clarification and refinement of a conviction and practice present in common sense, that is, the fact that humans believe that truth can be acquired not only by immediate evidence, but also by means of arguments. As a first step logic can be seen as a “descriptive” record of the main forms of the arguments present in common sense, but the fact that some of these patterns can actually allow for the derivation of false consequences from true premises imposes the task of making explicit what patterns correspond to a “correct reasoning” and what not. At this point logic (that contains the presentation of such patterns appears endowed with a “normative” characteristic. This amounts to saying that logical calculi are intended to adequately mirror the intuitive notion of “logical consequence” and in this sense they cannot be totally arbitrary or conventional, but must satisfy certain basic requirements such as the conditions of soundness and (as far as possible of semantic completeness. In such a way they are “judged” according to the fundamental requirements present at the level of common sense and appear as “idealizations” of the kinds of reasoning practiced in common sense. For this reason also several kinds of logical calculi are fully justified since they make explicit in an idealized form the concrete ways of reasoning that are imposed by the particular domain of reference of the discipline in which they are used and which are basically recognized in common sense.

  15. Reasons for patronage of traditional bone setters

    Innocent Egbeji Abang


    Full Text Available Aims and Objectives: The objectives of this study were to analyze the different reasons why patients with fractures patronize traditional bone setters (TBS and their impression of the outcome of the treatment by the TBS. Materials and Methods: A 24 month prospective observational study was conducted from February 2012 to January 2014. All the patients were recruited from the orthopedics outpatient clinic. The demographic data of each patient, the type of injury, presentation to hospital or not, reasons for leaving the hospital, reasons for patronage of the TBS and their impression of the outcome of TBS′ treatment, effect of educational background on patronage of TBS and reason for presenting to hospital for orthodox treatment. Data Analysis: Analysis was done with SPSS software Version 20. Results: A total 79 patients were recruited for the study and they had different reasons for patronizing TBS. These reasons include an external locus of decision making in 19 (24.1% patients, and greater faith in TBS compared to orthodox medicine in 16 (20.3%. Twelve (15.2% believed that TBS are more competent than orthodox medical practitioners while another group 11 (13.9% considered the fees of TBS cheaper than those in the hospital. The delay in treatment in the hospital, forceful removal of patients from hospital against their will and nonsatisfaction with hospital treatment accounted for 5 (6.3%. Poor attitude of hospital staff, fear of amputation, and patients being unconscious during the injury accounted for 2 (2.5%. Their ages ranged from 17 to 83 years, with mean age of 36.8 ± 11.8 years. The male: female ratio was 1.5:1. Conclusions and Recommendations: With recent advancements in the practice of orthopedics and trauma, there is still a very high patronage of the TBS by most of our patients. This is largely due to the dependence of the patients on their sponsors for treatment, while the influence of cultural and religious beliefs continues to

  16. Expert Causal Reasoning and Explanation.

    Kuipers, Benjamin

    The relationship between cognitive psychologists and researchers in artificial intelligence carries substantial benefits for both. An ongoing investigation in causal reasoning in medical problem solving systems illustrates this interaction. This paper traces a dialectic of sorts in which three different types of causal resaoning for medical…

  17. Heuristic Biases in Mathematical Reasoning

    Inglis, Matthew; Simpson, Adrian


    In this paper we briefly describe the dual process account of reasoning, and explain the role of heuristic biases in human thought. Concentrating on the so-called matching bias effect, we describe a piece of research that indicates a correlation between success at advanced level mathematics and an ability to override innate and misleading…

  18. Saving Money Using Proportional Reasoning

    de la Cruz, Jessica A.; Garney, Sandra


    It is beneficial for students to discover intuitive strategies, as opposed to the teacher presenting strategies to them. Certain proportional reasoning tasks are more likely to elicit intuitive strategies than other tasks. The strategies that students are apt to use when approaching a task, as well as the likelihood of a student's success or…

  19. Dual Coding, Reasoning and Fallacies.

    Hample, Dale


    Develops the theory that a fallacy is not a comparison of a rhetorical text to a set of definitions but a comparison of one person's cognition with another's. Reviews Paivio's dual coding theory, relates nonverbal coding to reasoning processes, and generates a limited fallacy theory based on dual coding theory. (PD)

  20. #FakeNobelDelayReasons


    Tuesday’s hour-long delay of the Nobel Prize in Physics announcement was (and still is) quite the cause for speculation. But on the Twittersphere, it was simply the catalyst for some fantastic puns, so-bad-they're-good physics jokes and other shenanigans. Here are some of our favourite #FakeNobelDelayReasons.    

  1. Conceptual Knowledge Representation and Reasoning

    Oldager, Steen Nikolaj


    One of the main areas in knowledge representation and logic-based artificial intelligence concerns logical formalisms that can be used for representing and reasoning with concepts. For almost 30 years, since research in this area began, the issue of intensionality has had a special status...

  2. Clinical reasoning as social deliberation

    Thorgård, Keld


    In this paper I will challenge the individualistic model of clinical reasoning. I will argue that sometimes clinical practice is rather machine-like, and information is called to mind and weighed, but the clinician is not just calculating how to use particular means to reach fixed ends. Often...

  3. A Chemistry Concept Reasoning Test

    Cloonan, Carrie A.; Hutchinson, John S.


    A Chemistry Concept Reasoning Test was created and validated providing an easy-to-use tool for measuring conceptual understanding and critical scientific thinking of general chemistry models and theories. The test is designed to measure concept understanding comparable to that found in free-response questions requiring explanations over…

  4. Fukushima accident - reasons and impacts

    Slugen, V.


    The Fukushima accident influenced dramatically the current view on safety of nuclear facilities. Consideration about possible impacts of natural catastrophe in design of nuclear facilities seems to be much more important than before. European commission is focused on the stress-tests at nuclear power plants. His paper will go more in details having in mind reasons and impacts of Fukushima accident (Author)

  5. Negligent Rape and Reasonable Beliefs

    Hansen, Pelle Guldborg


    practice such defences are often acknowledged if the belief is reasonable by some general standard, even when this standard does not pertain to the rules currently governing the practice of intercourse in Denmark. As a result it has often been argued that the notion of negligent rape should be introduced...

  6. Quantitative Reasoning in Problem Solving

    Ramful, Ajay; Ho, Siew Yin


    In this article, Ajay Ramful and Siew Yin Ho explain the meaning of quantitative reasoning, describing how it is used in the to solve mathematical problems. They also describe a diagrammatic approach to represent relationships among quantities and provide examples of problems and their solutions.

  7. Sensitizing Reasons by Emulating Exemplars

    Kunimasa Sato


    Full Text Available The fostering of rationality has long been endorsed as an educational ideal by some philosophers; in recent years, whereas some have argued for this ideal, others have challenged it, particularly within debates relevant to the study of critical thinking. Harvey Siegel, who has spelled out the philosophical theory of educating for rationality, not only has defended his view from such challenges but also has been deepening his thoughts regarding how rationality can be fostered. This paper centers on the cultivating of sensitivity to reasons in the fostering of rationality by critically examining and extending Siegel’s arguments concerning the notion of what he calls “felt reasons.” By clarifying the notion of felt reasons, I will argue for two ideas: first, teachers, parents, and fictional characters in media such as novels and films can be seen as exemplars that manifest rationality; second, the emotion of admiring exemplars may act as a motivating force for children—including small children who are still not sensitive to reasons and thus are not moved by reasons—to be critical thinkers.

  8. AAAI Workshop on Nonmonotonic Reasoning

    Etherington, David


    On October 17-19 1984 a workshop on non-monotonic reasoning was held at Mohonk Mountain House, outside New Paltz, New York. The workshop was organized by Raymond Reiter and Bonnie Webber, and was sponsored by the Association for the Advancement of Artificial Intelligence.

  9. Team reasoning and group identification

    Hindriks, Frank

    The team reasoning approach explains cooperation in terms of group identification, which in turn is explicated in terms of agency transformation and payoff transformation. Empirical research in social psychology is consistent with the significance of agency and payoff transformation. However, it

  10. Teaching Inductive Reasoning with Puzzles

    Wanko, Jeffrey J.


    Working with language-independent logic structures can help students develop both inductive and deductive reasoning skills. The Japanese publisher Nikoli (with resources available both in print and online) produces a treasure trove of language-independent logic puzzles. The Nikoli print resources are mostly in Japanese, creating the extra…

  11. Approximate reasoning in decision analysis

    Gupta, M M; Sanchez, E


    The volume aims to incorporate the recent advances in both theory and applications. It contains 44 articles by 74 contributors from 17 different countries. The topics considered include: membership functions; composite fuzzy relations; fuzzy logic and inference; classifications and similarity measures; expert systems and medical diagnosis; psychological measurements and human behaviour; approximate reasoning and decision analysis; and fuzzy clustering algorithms.

  12. Critique of influential epistemological presuppositions in clinical reasoning

    Thorgård, Keld


    , better clinical reasoning is typically linked to detachment, neutrality and monological conceptions of rationality. In this article, it is argued that rational clinical decision-making must also include position-dependent experiences, values and dialogical deliberation.......Evidence-based medicine is an important resource in modern clinical reasoning. It is, however, widely discussed how judgement, experience and patient perspectives are supposed to be integrated in evidence-based decision-making. They are recognised as important aspects, but their epistemological...... status has remained unclarified. In this article, it is argued that we need to consider three different yet related epistemological problems in order to obtain a better understanding of these aspects in clinical reasoning. Even though judgement and values are mentioned in the decision-making procedure...

  13. Predictive capacity of a non-radioisotopic local lymph node assay using flow cytometry, LLNA:BrdU-FCM: Comparison of a cutoff approach and inferential statistics.

    Kim, Da-Eun; Yang, Hyeri; Jang, Won-Hee; Jung, Kyoung-Mi; Park, Miyoung; Choi, Jin Kyu; Jung, Mi-Sook; Jeon, Eun-Young; Heo, Yong; Yeo, Kyung-Wook; Jo, Ji-Hoon; Park, Jung Eun; Sohn, Soo Jung; Kim, Tae Sung; Ahn, Il Young; Jeong, Tae-Cheon; Lim, Kyung-Min; Bae, SeungJin


    In order for a novel test method to be applied for regulatory purposes, its reliability and relevance, i.e., reproducibility and predictive capacity, must be demonstrated. Here, we examine the predictive capacity of a novel non-radioisotopic local lymph node assay, LLNA:BrdU-FCM (5-bromo-2'-deoxyuridine-flow cytometry), with a cutoff approach and inferential statistics as a prediction model. 22 reference substances in OECD TG429 were tested with a concurrent positive control, hexylcinnamaldehyde 25%(PC), and the stimulation index (SI) representing the fold increase in lymph node cells over the vehicle control was obtained. The optimal cutoff SI (2.7≤cutoff <3.5), with respect to predictive capacity, was obtained by a receiver operating characteristic curve, which produced 90.9% accuracy for the 22 substances. To address the inter-test variability in responsiveness, SI values standardized with PC were employed to obtain the optimal percentage cutoff (42.6≤cutoff <57.3% of PC), which produced 86.4% accuracy. A test substance may be diagnosed as a sensitizer if a statistically significant increase in SI is elicited. The parametric one-sided t-test and non-parametric Wilcoxon rank-sum test produced 77.3% accuracy. Similarly, a test substance could be defined as a sensitizer if the SI means of the vehicle control, and of the low, middle, and high concentrations were statistically significantly different, which was tested using ANOVA or Kruskal-Wallis, with post hoc analysis, Dunnett, or DSCF (Dwass-Steel-Critchlow-Fligner), respectively, depending on the equal variance test, producing 81.8% accuracy. The absolute SI-based cutoff approach produced the best predictive capacity, however the discordant decisions between prediction models need to be examined further. Copyright © 2015 Elsevier Inc. All rights reserved.

  14. Decision making and cancer.

    Reyna, Valerie F; Nelson, Wendy L; Han, Paul K; Pignone, Michael P


    We review decision making along the cancer continuum in the contemporary context of informed and shared decision making in which patients are encouraged to take a more active role in their health care. We discuss challenges to achieving informed and shared decision making, including cognitive limitations and emotional factors, but argue that understanding the mechanisms of decision making offers hope for improving decision support. Theoretical approaches to decision making that explain cognition, emotion, and their interaction are described, including classical psychophysical approaches, dual-process approaches that focus on conflicts between emotion versus cognition (or reason), and modern integrative approaches such as fuzzy-trace theory. In contrast to the earlier emphasis on rote use of numerical detail, modern approaches emphasize understanding the bottom-line gist of options (which encompasses emotion and other influences on meaning) and retrieving relevant social and moral values to apply to those gist representations. Finally, research on interventions to support better decision making in clinical settings is reviewed, drawing out implications for future research on decision making and cancer. PsycINFO Database Record (c) 2015 APA, all rights reserved.

  15. Exploring students' patterns of reasoning

    Matloob Haghanikar, Mojgan

    As part of a collaborative study of the science preparation of elementary school teachers, we investigated the quality of students' reasoning and explored the relationship between sophistication of reasoning and the degree to which the courses were considered inquiry oriented. To probe students' reasoning, we developed open-ended written content questions with the distinguishing feature of applying recently learned concepts in a new context. We devised a protocol for developing written content questions that provided a common structure for probing and classifying students' sophistication level of reasoning. In designing our protocol, we considered several distinct criteria, and classified students' responses based on their performance for each criterion. First, we classified concepts into three types: Descriptive, Hypothetical, and Theoretical and categorized the abstraction levels of the responses in terms of the types of concepts and the inter-relationship between the concepts. Second, we devised a rubric based on Bloom's revised taxonomy with seven traits (both knowledge types and cognitive processes) and a defined set of criteria to evaluate each trait. Along with analyzing students' reasoning, we visited universities and observed the courses in which the students were enrolled. We used the Reformed Teaching Observation Protocol (RTOP) to rank the courses with respect to characteristics that are valued for the inquiry courses. We conducted logistic regression for a sample of 18courses with about 900 students and reported the results for performing logistic regression to estimate the relationship between traits of reasoning and RTOP score. In addition, we analyzed conceptual structure of students' responses, based on conceptual classification schemes, and clustered students' responses into six categories. We derived regression model, to estimate the relationship between the sophistication of the categories of conceptual structure and RTOP scores. However, the

  16. Frequent users of emergency services: associated factors and reasons for seeking care

    Aline Marques Acosta


    Full Text Available Aim: to identify the profile of frequent users of emergency services, to verify the associated factors and to analyze the reasons for the frequent use of the services. METHOD: An explanatory sequential type mixed method was adopted. Quantitative data were collected from the electronic medical records, with a sample of 385 users attended four or more times in an emergency service, during the year 2011. Qualitative data were collected through semi-structured interviews with 18 users, intentionally selected from the results of the quantitative stage. Quantitative data were analyzed using descriptive and inferential statistics and qualitative data using thematic analysis. RESULTS: It was found that 42.9% were elderly, 84.9% had chronic diseases, 63.5% were classified as urgent, 42.1% stayed for more than 24 hours in the service and 46.5% were discharged. Scheduled follow-up appointment, risk classification, length of stay and outcome were factors associated with frequent use. The reasons for seeking the services were mainly related to the exacerbation of chronic diseases, to easier access and concentration of technology, to the bond, and to the scheduled appointments. CONCLUSIONS: The results contribute to comprehending the repeated use of emergency services and provide additional data to plan alternatives to reduce frequent use.

  17. Causal reasoning versus associative learning: A useful dichotomy or a strawman battle in comparative psychology?

    Hanus, Daniel


    The debate about whether or not one could/should ascribe reasoning abilities to animals has deep historical roots and seems very up-to-date in the light of the immense body of new empirical data originating from various species and research paradigms. Associative learning (AL) seems to be a ubiquitous low-level contender for any cognitive interpretation of animal behavior, mostly because of the assumed mechanistic simplicity and phylogenetic prevalence. However, the implicit assumption that AL is simple and therefore the most parsimonious mechanism to describe seemingly complex behavior can and must be questioned on various grounds. Using recent empirical findings with chimpanzees as an example, I argue that at times inferential reasoning might be the most likely candidate to account for performance differences between experimental and control conditions. Finally, a general conclusion drawn from the current debate(s) in the field of comparative psychology could be that a dichotomist battle of 2 conceptual camps-each of which is lacking a clear and homogeneous theoretical framework-is a scientific deadlock. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  18. Causal reasoning with mental models

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


    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 evidence both to corroborate the theory and to account for phenomena sometimes taken to be incompatible with it. Finally, it reviews neuroscience evidence indicating that mental models for causal inference are implemented within lateral prefrontal cortex. PMID:25389398

  19. Causal reasoning with mental models.

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


    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 evidence both to corroborate the theory and to account for phenomena sometimes taken to be incompatible with it. Finally, it reviews neuroscience evidence indicating that mental models for causal inference are implemented within lateral prefrontal cortex.

  20. Causal reasoning with mental models

    Sangeet eKhemlani


    Full Text Available 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 evidence both to corroborate the theory and to account for phenomena sometimes taken to be incompatible with it. Finally, it reviews neuroscience evidence indicating that mental models for causal inference are implemented within lateral prefrontal cortex.

  1. Paraconsistent Reasoning for OWL 2

    Ma, Yue; Hitzler, Pascal

    A four-valued description logic has been proposed to reason with description logic based inconsistent knowledge bases. This approach has a distinct advantage that it can be implemented by invoking classical reasoners to keep the same complexity as under the classical semantics. However, this approach has so far only been studied for the basic description logic mathcal{ALC}. In this paper, we further study how to extend the four-valued semantics to the more expressive description logic mathcal{SROIQ} which underlies the forthcoming revision of the Web Ontology Language, OWL 2, and also investigate how it fares when adapted to tractable description logics including mathcal{EL++}, DL-Lite, and Horn-DLs. We define the four-valued semantics along the same lines as for mathcal{ALC} and show that we can retain most of the desired properties.

  2. [Hypnoanalgesia and clinical nursing reasoning].

    Soudan, Corinne


    Hypnoanalgesia is practised in accordance with care ethics and as a complement to other medical and/or psychological therapies. It is aimed at people with acute, chronic or treatment-related pain. Its practice is founded on clinical nursing reasoning, which targets the health problem and the therapeutic objectives guiding the hypnosis session. A clinical assessment finalises the interactional process. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  3. Is Hawking radiation physically reasonable?

    Ahmed, M.


    Hawking radiation is observed in a general spacetime which includes all the black hole spacetimes as well as various types of other spacetimes which are not interesting form the physical point of view like black hole spacetimes. Even Hawking radiation is observed in NUT spacetime which is sometimes considered as unphysical. So naturally arises the question whether Hawking radiation is physically reasonable. (author). 22 refs

  4. Temporal Reasoning and Default Logics.


    Aritificial Intelligence ", Computer Science Research Report, Yale University, forthcoming (1985). . 74 .-, A Axioms for Describing Persistences and Clipping...34Circumscription - A Form of Non-Monotonic Reasoning", Artificial Intelligence , vol. 13 (1980), pp. 27-39. [13] McCarthy, John, "Applications of...and P. J. Hayes, "Some philosophical problems from the standpoint of artificial intelligence ", in: B. Meltzer and D. Michie (eds.), Machine

  5. Nudges to reason: not guilty

    Levy, N


    I am to grateful to Geoff Keeling for his perceptive response to my paper. In this brief reply, I will argue that he does not succeed in his goal of showing that nudges to reason do not respect autonomy. At most, he establishes only that such nudges may threaten autonomy when used in certain ways and in certain circumstances. As I will show, this is not a conclusion that should give us grounds for particular concerns about nudges.

  6. Reasoning with Annotations of Texts

    Ma , Yue; Lévy , François; Ghimire , Sudeep


    International audience; Linguistic and semantic annotations are important features for text-based applications. However, achieving and maintaining a good quality of a set of annotations is known to be a complex task. Many ad hoc approaches have been developed to produce various types of annotations, while comparing those annotations to improve their quality is still rare. In this paper, we propose a framework in which both linguistic and domain information can cooperate to reason with annotat...

  7. Pisa Question and Reasoning Skill

    Ersoy Esen


    Full Text Available The objective of the study is to determine the level of the reasoning skills of the secondary school students. This research has been conducted during the academic year of 2015-2016 with the participation of 51 students in total, from a province in the Black Sea region of Turkey by using random sampling method. Case study method has been used in this study, since it explains an existing situation. In this study, content analysis from the qualitative research methods was carried out. In order to ensure the validity of the scope, agreement percentage formula was used and expert opinions were sought.The problem named Holiday from the Chapter 1 of the normal units in Problem Solving Questions from PISA (Program for International Student Assessments [35] are used as the data collection tool for the study. The problem named Holiday consists of two questions. Applied problems were evaluated according to the mathematical reasoning stages of TIMSS (2003. The findings suggest that the students use proportional reasoning while solving the problems and use the geometric shapes to facilitate the solution of the problem. When they come across problems related to each other, it is observed that they create connections between the problems based on the results of the previous problem. In conclusion, the students perform crosscheck to ensure that their solutions to the problems are accurate.

  8. Make Sense?

    Gyrd-Jones, Richard; Törmälä, Minna

    Purpose: An important part of how we sense a brand is how we make sense of a brand. Sense-making is naturally strongly connected to how we cognize about the brand. But sense-making is concerned with multiple forms of knowledge that arise from our interpretation of the brand-related stimuli......: Declarative, episodic, procedural and sensory. Knowledge is given meaning through mental association (Keller, 1993) and / or symbolic interaction (Blumer, 1969). These meanings are centrally related to individuals’ sense of identity or “identity needs” (Wallpach & Woodside, 2009). The way individuals make...... sense of brands is related to who people think they are in their context and this shapes what they enact and how they interpret the brand (Currie & Brown, 2003; Weick, Sutcliffe, & Obstfeld, 2005; Weick, 1993). Our subject of interest in this paper is how stakeholders interpret and ascribe meaning...

  9. Human rights reasoning and medical law: a sceptical essay.

    Wall, Jesse


    I am sceptical as to the contribution that human rights can make to our evaluation of medical law. I will argue here that viewing medical law through a human rights framework provides no greater clarity, insight or focus. If anything, human rights reasoning clouds any bioethical or evaluative analysis. In Section 1 of this article, I outline the general structure of human rights reasoning. I will describe human rights reasoning as (a) reasoning from rights that each person has 'by virtue of their humanity', (b) reasoning from rights that provide 'hard to defeat' reasons for action and (c) reasoning from abstract norms to specified duties. I will then argue in Section 2 that, unless we (a) re-conceive of human rights as narrow categories of liberties, it becomes (b) necessary for our human rights reasoning to gauge the normative force of each claim or liberty. When we apply this approach to disputes in medical law, we (in the best case scenario) end up (c) 'looking straight through' the human right to the (disagreement about) values and features that each person has by virtue of their humanity. © 2014 John Wiley & Sons Ltd.

  10. Diagnostic causal reasoning with verbal information.

    Meder, Björn; Mayrhofer, Ralf


    In diagnostic causal reasoning, the goal is to infer the probability of causes from one or multiple observed effects. Typically, studies investigating such tasks provide subjects with precise quantitative information regarding the strength of the relations between causes and effects or sample data from which the relevant quantities can be learned. By contrast, we sought to examine people's inferences when causal information is communicated through qualitative, rather vague verbal expressions (e.g., "X occasionally causes A"). We conducted three experiments using a sequential diagnostic inference task, where multiple pieces of evidence were obtained one after the other. Quantitative predictions of different probabilistic models were derived using the numerical equivalents of the verbal terms, taken from an unrelated study with different subjects. We present a novel Bayesian model that allows for incorporating the temporal weighting of information in sequential diagnostic reasoning, which can be used to model both primacy and recency effects. On the basis of 19,848 judgments from 292 subjects, we found a remarkably close correspondence between the diagnostic inferences made by subjects who received only verbal information and those of a matched control group to whom information was presented numerically. Whether information was conveyed through verbal terms or numerical estimates, diagnostic judgments closely resembled the posterior probabilities entailed by the causes' prior probabilities and the effects' likelihoods. We observed interindividual differences regarding the temporal weighting of evidence in sequential diagnostic reasoning. Our work provides pathways for investigating judgment and decision making with verbal information within a computational modeling framework. Copyright © 2017 Elsevier Inc. All rights reserved.

  11. A dynamic model of reasoning and memory.

    Hawkins, Guy E; Hayes, Brett K; Heit, Evan


    Previous models of category-based induction have neglected how the process of induction unfolds over time. We conceive of induction as a dynamic process and provide the first fine-grained examination of the distribution of response times observed in inductive reasoning. We used these data to develop and empirically test the first major quantitative modeling scheme that simultaneously accounts for inductive decisions and their time course. The model assumes that knowledge of similarity relations among novel test probes and items stored in memory drive an accumulation-to-bound sequential sampling process: Test probes with high similarity to studied exemplars are more likely to trigger a generalization response, and more rapidly, than items with low exemplar similarity. We contrast data and model predictions for inductive decisions with a recognition memory task using a common stimulus set. Hierarchical Bayesian analyses across 2 experiments demonstrated that inductive reasoning and recognition memory primarily differ in the threshold to trigger a decision: Observers required less evidence to make a property generalization judgment (induction) than an identity statement about a previously studied item (recognition). Experiment 1 and a condition emphasizing decision speed in Experiment 2 also found evidence that inductive decisions use lower quality similarity-based information than recognition. The findings suggest that induction might represent a less cautious form of recognition. We conclude that sequential sampling models grounded in exemplar-based similarity, combined with hierarchical Bayesian analysis, provide a more fine-grained and informative analysis of the processes involved in inductive reasoning than is possible solely through examination of choice data. PsycINFO Database Record (c) 2016 APA, all rights reserved.

  12. Negative probabilities and counter-factual reasoning in quantum cognition

    J Acacio de Barros; G Oas


    In this paper we discuss quantum-like decision-making experiments using negative probabilities. We do so by showing how the two-slit experiment, in the simplified version of the Mach–Zehnder interferometer, can be described by this formalism. We show that negative probabilities impose constraints to what types of counter-factual reasoning we can make with respect to (quantum) internal representations of the decision maker. (paper)


    Anna Kulik


    Full Text Available Thesis objective is to study modern methods of product supply with the purpose to determine optimal ways for their rationalization. Since the use of reasonable practices, taking into account external and internal factors under the specific conditions of product moving from the supplier to the buyer, makes the process of product supply economically viable, i.e., low costs for product transportation, ensures fast moving products, their safety and, ultimately, results in reduction of the costs of product disposal. Methodology. The study is based on theoretical methods to study this problem. System analysis method and simulation of the ways to improve were also used in the study. Results. Addressing these issues, the concept, form and stages of product supply process organization depending on the type of product have been studied; product supply management methods based on logistics concept of “demand response”. Practical significance. Optimization of the principles and methods of product supply, factors affecting its organization will, in practice, contribute to the development of reasonable product delivery systems featured with economic efficiency of advanced technologies of product supply. Value/ originality. The analyzed methods of product supply management based on logistics concept of “demand response” can ensure maximum reduction of response time to the changes in demand by rapid stocktaking at those points of the market where the demand is expected to increase, which will allow to reduce the costs of bringing the product to the consumer.

  14. A quantum probability model of causal reasoning

    Jennifer S Trueblood


    Full Text Available People can often outperform statistical methods and machine learning algorithms in situations that involve making inferences about the relationship between causes and effects. While people are remarkably good at causal reasoning in many situations, there are several instances where they deviate from expected responses. This paper examines three situations where judgments related to causal inference problems produce unexpected results and describes a quantum inference model based on the axiomatic principles of quantum probability theory that can explain these effects. Two of the three phenomena arise from the comparison of predictive judgments (i.e., the conditional probability of an effect given a cause with diagnostic judgments (i.e., the conditional probability of a cause given an effect. The third phenomenon is a new finding examining order effects in predictive causal judgments. The quantum inference model uses the notion of incompatibility among different causes to account for all three phenomena. Psychologically, the model assumes that individuals adopt different points of view when thinking about different causes. The model provides good fits to the data and offers a coherent account for all three causal reasoning effects thus proving to be a viable new candidate for modeling human judgment.

  15. Crows spontaneously exhibit analogical reasoning.

    Smirnova, Anna; Zorina, Zoya; Obozova, Tanya; Wasserman, Edward


    Analogical reasoning is vital to advanced cognition and behavioral adaptation. Many theorists deem analogical thinking to be uniquely human and to be foundational to categorization, creative problem solving, and scientific discovery. Comparative psychologists have long been interested in the species generality of analogical reasoning, but they initially found it difficult to obtain empirical support for such thinking in nonhuman animals (for pioneering efforts, see [2, 3]). Researchers have since mustered considerable evidence and argument that relational matching-to-sample (RMTS) effectively captures the essence of analogy, in which the relevant logical arguments are presented visually. In RMTS, choice of test pair BB would be correct if the sample pair were AA, whereas choice of test pair EF would be correct if the sample pair were CD. Critically, no items in the correct test pair physically match items in the sample pair, thus demanding that only relational sameness or differentness is available to support accurate choice responding. Initial evidence suggested that only humans and apes can successfully learn RMTS with pairs of sample and test items; however, monkeys have subsequently done so. Here, we report that crows too exhibit relational matching behavior. Even more importantly, crows spontaneously display relational responding without ever having been trained on RMTS; they had only been trained on identity matching-to-sample (IMTS). Such robust and uninstructed relational matching behavior represents the most convincing evidence yet of analogical reasoning in a nonprimate species, as apes alone have spontaneously exhibited RMTS behavior after only IMTS training. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. Probabilistic reasoning in data analysis.

    Sirovich, Lawrence


    This Teaching Resource provides lecture notes, slides, and a student assignment for a lecture on probabilistic reasoning in the analysis of biological data. General probabilistic frameworks are introduced, and a number of standard probability distributions are described using simple intuitive ideas. Particular attention is focused on random arrivals that are independent of prior history (Markovian events), with an emphasis on waiting times, Poisson processes, and Poisson probability distributions. The use of these various probability distributions is applied to biomedical problems, including several classic experimental studies.

  17. Numeracy, frequency, and Bayesian reasoning

    Gretchen B. Chapman


    Full Text Available Previous research has demonstrated that Bayesian reasoning performance is improved if uncertainty information is presented as natural frequencies rather than single-event probabilities. A questionnaire study of 342 college students replicated this effect but also found that the performance-boosting benefits of the natural frequency presentation occurred primarily for participants who scored high in numeracy. This finding suggests that even comprehension and manipulation of natural frequencies requires a certain threshold of numeracy abilities, and that the beneficial effects of natural frequency presentation may not be as general as previously believed.

  18. Decision making.

    Chambers, David W


    A decision is a commitment of resources under conditions of risk in expectation of the best future outcome. The smart decision is always the strategy with the best overall expected value-the best combination of facts and values. Some of the special circumstances involved in decision making are discussed, including decisions where there are multiple goals, those where more than one person is involved in making the decision, using trigger points, framing decisions correctly, commitments to lost causes, and expert decision makers. A complex example of deciding about removal of asymptomatic third molars, with and without an EBD search, is discussed.

  19. O que Determina a Tomada de Decisão Financeira: razão ou emoção?What Determines the Financial Decision-Making: reason or emotion?¿Qué es lo que Determina la Toma de la Decisión Financiera: la razón o la emoción?

    SANTOS, José Odálio dos


    to the qualitative and quantitative information extracted from the object of evaluation. The research aims to understand the logic of the process of financial decision-making of part of the individual segment in Brazil. Therefore, an inquiry of heuristics and the biases present in the decision making of those people, considering that the investor and the consumer are influenced by various factors. A research based on basic fundamentals of behavioral finance was applied in a demographically qualified sample of subscribers of one of the main Brazilian publishing companies. Of this total, we have obtained response from 641 Brazilians segmented by gender, age, income and education. In the research, the presence of heuristics and biases was evaluated in each group, such as overconfidence, representativeness, anchorage and procrastination. The results showed that both reason and emotion influence the participants’ answers of the bulk of the sample. Most people felt that their financial behavior is more rational than that of their peers. As expected, the study indicated significant differences in behavior according to gender, age, education and income.RESUMENEs importante destacar que no todos los inversores interpretan de la misma manera las informaciones relevantes que circulan en el mercado de capitales, lo que puede explicarse por las siguientes condiciones divergentes: creencias, valores, calidad de la base de datos utilizada, grado de conocimiento técnico y la importancia que se atribuye a las informaciones cualitativas y cuantitativas extraídas del objeto evaluado. La investigación busca comprender la lógica del proceso de toma de decisión financiera de un segmento de las personas físicas en Brasil. Para ello se realizó una investigación de las heuristicas y de las tendencias presentes en la toma de decisión de estas personas, considerando que diversos aspectos psicológicos y racionales influyen en el inversor y en el consumidor. Una investigación basada

  20. A public health decision support system model using reasoning methods.

    Mera, Maritza; González, Carolina; Blobel, Bernd


    Public health programs must be based on the real health needs of the population. However, the design of efficient and effective public health programs is subject to availability of information that can allow users to identify, at the right time, the health issues that require special attention. The objective of this paper is to propose a case-based reasoning model for the support of decision-making in public health. The model integrates a decision-making process and case-based reasoning, reusing past experiences for promptly identifying new population health priorities. A prototype implementation of the model was performed, deploying the case-based reasoning framework jColibri. The proposed model contributes to solve problems found today when designing public health programs in Colombia. Current programs are developed under uncertain environments, as the underlying analyses are carried out on the basis of outdated and unreliable data.

  1. 24 CFR 982.507 - Rent to owner: Reasonable rent.


    ... URBAN DEVELOPMENT SECTION 8 TENANT BASED ASSISTANCE: HOUSING CHOICE VOUCHER PROGRAM Rent and Housing Assistance Payment § 982.507 Rent to owner: Reasonable rent. (a) PHA determination. (1) The PHA may not.... To make this determination, the PHA must consider: (1) The location, quality, size, unit type, and...

  2. Fuzzy Reasoning Based on First-Order Modal Logic,

    Zhang, Xiaoru; Zhang, Z.; Sui, Y.; Huang, Z.


    As an extension of traditional modal logics, this paper proposes a fuzzy first-order modal logic based on believable degree, and gives out a description of the fuzzy first-order modal logic based on constant domain semantics. In order to make the reasoning procedure between the fuzzy assertions

  3. Analogies in Medicine: Valuable for Learning, Reasoning, Remembering and Naming

    Pena, Gil Patrus; Andrade-Filho, Jose de Souza


    Analogies are important tools in human reasoning and learning, for resolving problems and providing arguments, and are extensively used in medicine. Analogy and similarity involve a structural alignment or mapping between domains. This cognitive mechanism can be used to make inferences and learn new abstractions. Through analogies, we try to…

  4. Defining, Teaching, and Assessing Ethical Reasoning in Action

    Sanchez, Elizabeth R. H.; Fulcher, Keston H.; Smith, Kristen L.; Ames, Allison; Hawk, William J.


    National events highlight a critical need for refined decision-making skills; tragic ethical shortcomings are all too common in our society (James Madison University, 2013; Smith, Fulcher, & Sanchez, 2015). While employers around the world seek professionals with developed reasoning abilities (Hart Research Associates, 2013; Lau, 2010), higher…

  5. Strategic Reasoning in Interdependence: Logical and Game-Theoretical Investigations

    Turrini, P.


    Game theory is the branch of economics that studies interactive decision making, i.e. how entities that can reasonably be described as players of a game should behave, given their preferences and their information. Game theory is usually divided into two main branches: non-cooperative game theory,

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

    Moore, Kevin C.


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

  7. 12 CFR 717.24 - Reasonable opportunity to opt out.


    ... completing a form that requires consumers to write a “yes” or “no” to indicate their opt-out preference or.... You must not use eligibility information about a consumer that you receive from an affiliate to make a solicitation to the consumer about your products or services, unless the consumer is provided a reasonable...

  8. 12 CFR 571.24 - Reasonable opportunity to opt out.


    ... completing a form that requires consumers to write a “yes” or “no” to indicate their opt-out preference or... eligibility information about a consumer that you receive from an affiliate to make a solicitation to the consumer about your products or services, unless the consumer is provided a reasonable opportunity to opt...

  9. 12 CFR 41.24 - Reasonable opportunity to opt out.


    ... completing a form that requires consumers to write a “yes” or “no” to indicate their opt-out preference or... eligibility information about a consumer that it receives from an affiliate to make a solicitation to the consumer about the bank's products or services, unless the consumer is provided a reasonable opportunity to...

  10. Choosing Teaching Profession as a Career: Students' Reasons

    Balyer, Aydin; Özcan, Kenan


    The success of educational change inevitably depends on the quality and performance of teachers. Therefore, the importance of employing high quality teachers is crucial for educational systems. Choosing talented and committed brains to teaching career depends on making it an attractive profession. It is considered that there are some reasons why…

  11. Heuristic errors in clinical reasoning.

    Rylander, Melanie; Guerrasio, Jeannette


    Errors in clinical reasoning contribute to patient morbidity and mortality. The purpose of this study was to determine the types of heuristic errors made by third-year medical students and first-year residents. This study surveyed approximately 150 clinical educators inquiring about the types of heuristic errors they observed in third-year medical students and first-year residents. Anchoring and premature closure were the two most common errors observed amongst third-year medical students and first-year residents. There was no difference in the types of errors observed in the two groups. Errors in clinical reasoning contribute to patient morbidity and mortality Clinical educators perceived that both third-year medical students and first-year residents committed similar heuristic errors, implying that additional medical knowledge and clinical experience do not affect the types of heuristic errors made. Further work is needed to help identify methods that can be used to reduce heuristic errors early in a clinician's education. © 2015 John Wiley & Sons Ltd.

  12. 'Reasonable' regulation of low doses in the Netherlands?

    Zuur, Ciska


    As long as it is not clear exactly what the risks of low doses are, exposures should be regulated to be 'as low as reasonably achievable' (ALARA). In radiation protection, for normal situations, this means that a projected dose reduction can only be obligatory when the efforts needed to achieve the reduction are 'reasonable' in comparison with it, economical and social aspects being taken into account. In the recent Dutch regulations, 'reasonable' values have been established for the relevant parameters used in the ALARA concept and the paper discusses the values required to calculate the doses for the critical group due to a source. In some cases, the effort expended in making the ALARA dose assessments might not be reasonable in comparison with the dose reduction to be expected. The system which has been developed in the Netherlands to avoid these 'unreasonable' dose calculations, measurements and assessments is explained. (author)

  13. Reasoning robots the art and science of programming robotic agents

    Thielscher, Michael


    The book provides an in-depth and uniform treatment of a mathematical model for reasoning robotic agents. The book also contains an introduction to a programming method and system based on this model. The mathematical model, known as the "Fluent Calculus,'' describes how to use classical first-order logic to set up symbolic models of dynamic worlds and to represent knowledge of actions and their effects. Robotic agents use this knowledge and their reasoning facilities to make decisions when following high-level, long-term strategies. The book covers the issues of reasoning about sensor input, acting under incomplete knowledge and uncertainty, planning, intelligent troubleshooting, and many other topics. The mathematical model is supplemented by a programming method which allows readers to design their own reasoning robotic agents. The usage of this method, called "FLUX,'' is illustrated by many example programs. The book includes the details of an implementation of FLUX using the standard programming language...

  14. Strategic reasoning and bargaining in catastrophic climate change games

    Verendel, Vilhelm; Johansson, Daniel J. A.; Lindgren, Kristian


    Two decades of international negotiations show that agreeing on emission levels for climate change mitigation is a hard challenge. However, if early warning signals were to show an upcoming tipping point with catastrophic damage, theory and experiments suggest this could simplify collective action to reduce greenhouse gas emissions. At the actual threshold, no country would have a free-ride incentive to increase emissions over the tipping point, but it remains for countries to negotiate their emission levels to reach these agreements. We model agents bargaining for emission levels using strategic reasoning to predict emission bids by others and ask how this affects the possibility of reaching agreements that avoid catastrophic damage. It is known that policy elites often use a higher degree of strategic reasoning, and in our model this increases the risk for climate catastrophe. Moreover, some forms of higher strategic reasoning make agreements to reduce greenhouse gases unstable. We use empirically informed levels of strategic reasoning when simulating the model.

  15. Making Connections

    Pien, Cheng Lu; Dongsheng, Zhao


    Effective teaching includes enabling learners to make connections within mathematics. It is easy to accord with this statement, but how often is it a reality in the mathematics classroom? This article describes an approach in "connecting equivalent" fractions and whole number operations. The authors illustrate how a teacher can combine a common…

  16. Shared decision-making.

    Godolphin, William


    Shared decision-making has been called the crux of patient-centred care and identified as a key part of change for improved quality and safety in healthcare. However, it rarely happens, is hard to do and is not taught - for many reasons. Talking with patients about options is not embedded in the attitudes or communication skills training of most healthcare professionals. Information tools such as patient decision aids, personal health records and the Internet will help to shift this state, as will policy that drives patient and public involvement in healthcare delivery and training.

  17. An Investigation into the Clinical Reasoning Development of Veterinary Students.

    Vinten, Claire E K; Cobb, Kate A; Freeman, Sarah L; Mossop, Liz H

    Clinical reasoning is a fundamental skill for veterinary clinicians and a competency required of graduates by the Royal College of Veterinary Surgeons. However, it is unknown how veterinary students develop reasoning skills and where strengths and shortcomings of curricula lie. This research aimed to use the University of Nottingham School of Veterinary Medicine and Science (SVMS) as a case study to investigate the development of clinical reasoning among veterinary students. The analysis was framed in consideration of the taught, learned, and declared curricula. Sixteen staff and sixteen students from the SVMS participated separately in a total of four focus groups. In addition, five interviews were conducted with recent SVMS graduates. Audio transcriptions were used to conduct a thematic analysis. A content analysis was performed on all curriculum documentation. It was found that SVMS graduates feel they have a good level of reasoning ability, but they still experience a deficit in their reasoning capabilities when starting their first job. Overarching themes arising from the data suggest that a lack of responsibility for clinical decisions during the program and the embedded nature of the clinical reasoning skill within the curriculum could be restricting development. In addition, SVMS students would benefit from clinical reasoning training where factors influencing "real life" decisions (e.g., finances) are explored in more depth. Integrating these factors into the curriculum could lead to improved decision-making ability among SVMS graduates and better prepare students for the stressful transition to practice. These findings are likely to have implications for other veterinary curricula.

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

    Kassirer, Jerome P


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

  19. The Possibility of Moral Reasoning in Hare’s Prescriptivism

    m zamani


    Full Text Available The contemporary approaches to moral philosophy have experienced diverging directions regarding the possibility and justification of reasoning. Hare claims that in spite of the fact that intuitivists like Moore, Ross, and Prichard block the use of reasoning by accepting the intuitiveness of knowledge of good and bad, emotivism takes the same rout by focusing on emotions and emphasizing the freedom of choice. While descriptivism and also naturalism accept the possibility of reasoning through admitting the indicative nature of ethical speech, they reject or limit the freedom of choice. He tries to justify both the freedom of choice and the possibility of rational reasoning in moral. In so doing, Hare takes refuge in the non-self-contradiction and compatibility principles to insist on the universalizability of rules of moral reasoning. To make judgments of relevance is the prerequisite in morals which subsequently encompasses universalizability and the possibility of reasoning. Using the linguistic analysis, Hare tries to show that as language in which predicate-logic governs statements, imperatives and moral sentences are governed by rational relationships and principles of compatibility. From this point of view, an individual’s judgments are justifiable, provided that it is not in contradiction with his previous judgments. The aim of this study is to state, analyze, and criticize Hare’s views regarding the provision of rational reasoning and its possibility in terms of the challenges he faces with regard to competing schools of thought.


    Haraguchi, Makoto; 原口, 誠


    A formalism of analogical reasoning is presented. The analogical reasoning can be considered as a deduction with a function of transforming logical rules. From this viewpoint, the reasoning is defined in terms of deduction, and is therefore realized in a logic programming system. The reasoning system is described as an extension of Prolog interpreter.

  1. Formalization and Analysis of Reasoning by Assumption

    Bosse, T.; Jonker, C.M.; Treur, J.


    This article introduces a novel approach for the analysis of the dynamics of reasoning processes and explores its applicability for the reasoning pattern called reasoning by assumption. More specifically, for a case study in the domain of a Master Mind game, it is shown how empirical human reasoning

  2. Ecological Applications of Qualitative Reasoning

    Bredeweg, B.; Salles, P.; Neumann, M.; Recknagel, F.


    Representing qualitative ecological knowledge is of great interest for ecological modelling. QR provides means to build conceptual models and to make qualitative knowledge explicit, organized and manageable by means of symbolic computing. This chapter discusses the main characteristics of QR using

  3. Understanding clinical reasoning in osteopathy: a qualitative research approach.

    Grace, Sandra; Orrock, Paul; Vaughan, Brett; Blaich, Raymond; Coutts, Rosanne


    decision-making and potentially enhance the quality of patient care. Where commonalities exist in the clinical reasoning processes of osteopathy and other health professions, shared learning opportunities may be available, including the exchange of scaffolded clinical reasoning exercises and assessment practices among health disciplines.

  4. Midwives׳ clinical reasoning during second stage labour: Report on an interpretive study.

    Jefford, Elaine; Fahy, Kathleen


    clinical reasoning was once thought to be the exclusive domain of medicine - setting it apart from 'non-scientific' occupations like midwifery. Poor assessment, clinical reasoning and decision-making skills are well known contributors to adverse outcomes in maternity care. Midwifery decision-making models share a common deficit: they are insufficiently detailed to guide reasoning processes for midwives in practice. For these reasons we wanted to explore if midwives actively engaged in clinical reasoning processes within their clinical practice and if so to what extent. The study was conducted using post structural, feminist methodology. to what extent do midwives engage in clinical reasoning processes when making decisions in the second stage labour? twenty-six practising midwives were interviewed. Feminist interpretive analysis was conducted by two researchers guided by the steps of a model of clinical reasoning process. Six narratives were excluded from analysis because they did not sufficiently address the research question. The midwives narratives were prepared via data reduction. A theoretically informed analysis and interpretation was conducted. using a feminist, interpretive approach we created a model of midwifery clinical reasoning grounded in the literature and consistent with the data. Thirteen of the 20 participant narratives demonstrate analytical clinical reasoning abilities but only nine completed the process and implemented the decision. Seven midwives used non-analytical decision-making without adequately checking against assessment data. over half of the participants demonstrated the ability to use clinical reasoning skills. Less than half of the midwives demonstrated clinical reasoning as their way of making decisions. The new model of Midwifery Clinical Reasoning includes 'intuition' as a valued way of knowing. Using intuition, however, should not replace clinical reasoning which promotes through decision-making can be made transparent and be

  5. Formalization and Analysis of Reasoning by Assumption

    Bosse, T.; Jonker, C.M.; Treur, J.


    This article introduces a novel approach for the analysis of the dynamics of reasoning processes and explores its applicability for the reasoning pattern called reasoning by assumption. More specifically, for a case study in the domain of a Master Mind game, it is shown how empirical human reasoning traces can be formalized and automatically analyzed against dynamic properties they fulfill. To this end, for the pattern of reasoning by assumption a variety of dynamic properties have been speci...

  6. Cooperative expert system reasoning for waste remediations

    Bohn, S.J.; Pennock, K.A.; Franklin, A.L.


    The United States Department of Energy (DOE) is facing a large task in completing Remedial Investigations and Feasibility Studies (RI/FS) for hazardous waste sites across the nation. One of the primary objectives of an RI/FS is the specification of viable sequences of technology treatment trains which can provide implementable site solutions. We present a methodology which integrates expert system technology within an object-oriented framework to create a cooperative reasoning system designed to provide a comprehensive list of these implementable solutions. The system accomplishes its goal of specifying technology trains by utilizing a ''team'' of expert system objects. The system distributes the problem solving among the individual expert objects, and then coordinates the combination of individual decisions into a joint solution. Each expert object possesses the knowledge of an expert in a particular technology. An expert object can examine the parameters and characteristics of the waste site, seek information and support from other expert objects, and then make decisions concerning its own applicability. This methodology has at least two primary benefits. First, the creation of multiple expert objects provides a more direct mapping from the actual process to a software system, making the system easier to build. Second, the distribution of the inferencing among a number of loosely connected expert objects allows for a more robust and maintainable final product

  7. Deontic reasoning as a target of selection: reply to Astington and Dack.

    Cummins, Denise Dellarosa


    In their discussion of young children's deontic reasoning performance, Astington and Dack (2013) made the following claims: (1) Children need more cues to elicit cogent social norm reasoning than adults require, namely, explicit reference to authority; (2) Deontic reasoning improves with age, and this is evidence against a nativist view; (3) All evolutionary explanations of deontic reasoning advantages require positing a ''domain-specific deontic reasoning module."; and (4) young children excel at deontic reasoning because it is easier. Here, I refute each claim. Instead, I argue that (1) Social norm reasoning is one type of deontic reasoning that has been the target of selective pressure; (2) Development does not preclude nativism; (3) Epistemic utterances make no greater processing demands than deontic utterances; and (4) both adult and child norm reasoning performance is strongly influenced by reference to or implication of authority. Copyright © 2013 Elsevier Inc. All rights reserved.

  8. Open Graphs and Computational Reasoning

    Lucas Dixon


    Full Text Available We present a form of algebraic reasoning for computational objects which are expressed as graphs. Edges describe the flow of data between primitive operations which are represented by vertices. These graphs have an interface made of half-edges (edges which are drawn with an unconnected end and enjoy rich compositional principles by connecting graphs along these half-edges. In particular, this allows equations and rewrite rules to be specified between graphs. Particular computational models can then be encoded as an axiomatic set of such rules. Further rules can be derived graphically and rewriting can be used to simulate the dynamics of a computational system, e.g. evaluating a program on an input. Examples of models which can be formalised in this way include traditional electronic circuits as well as recent categorical accounts of quantum information.

  9. Amateur Telescope Making

    Tonkin, Stephen

    Many amateur astronomers make their own instruments, either because of financial considerations or because they are just interested. Amateur Telescope Making offers a variety of designs for telescopes, mounts and drives which are suitable for the home-constructor. The designs range from simple to advanced, but all are within the range of a moderately well-equipped home workshop. The book not only tells the reader what he can construct, but also what it is sensible to construct given what time is available commercially. Thus each chapter begins with reasons for undertaking the project, then looks at theoretical consideration before finishing with practical instructions and advice. An indication is given as to the skills required for the various projects. Appendices list reputable sources of (mail order) materials and components. The telescopes and mounts range from "shoestring" (very cheap) instruments to specialist devices that are unavailable commercially.

  10. What makes Software Design Effective

    Tang, A.; Aleti, A.; Burge, J.; van Vliet, J.C.


    Software design is a complex cognitive process in which decision making plays a major role, but our understanding of how decisions are made is limited, especially with regards to reasoning with design problems and formulation of design solutions. In this research, we have observed software designers

  11. Making Sense of Extraneous Solutions

    Zelkowski, Jeremy S.


    Principles and Standards for School Mathematics (NCTM 2000) states, "Technology is essential in teaching and learning mathematics; it influences the mathematics that is taught and enhances students' learning." The focus on reasoning and sense making with technology in the lesson presented in this article will enable students to do more…

  12. Reasons Why Some Women Quit Science

    Tabazadeh, A.


    Nearly half of all graduate students majoring in various disciplines of science today are women, yet men still predominate the faculty makeup at most universities and research institutions. This issue was discussed at length last year in the journal Science and also in the Chemical Engineering News (the ACS weekly publication magazine). The question is: why do so many women decide to major in science but not to pursue a career in science? Over the years I have seen highly capable women quit science for two main reasons. First, intimidation that can be very difficult to deal with when someone is just starting a career in science. Thus, I encourage young women to make a sincere effort to surround themselves with colleagues who are both knowledgeable and considerate. Keep in my mind that you have a choice to choose your future collaborators, so make some smart choices early on and throughout your career. Second, is the need to balance the demands of work with those of family life. Personally, I don't believe a tenure system is fair to young women who wish to have children during this appointment. The level of stress can be very high, which prevents women from applying to a position where they are given only a few short years to prove themselves. Also, try not to make a radical decision (i.e. quit science) if you are too stressed. Talk to more senior women in the field to learn how to better deal with your stress. After all a career in science has many ups and downs, and to survive, one needs to balance the good and bad days. In this talk I will address the questions outlined in the announcement as they relate to me. Overall, my advice to young women who are just starting their scientific careers is to celebrate your accomplishments and learn from your mistakes.

  13. Temporal reasoning for decision support in medicine.

    Augusto, Juan Carlos


    Handling time-related concepts is essential in medicine. During diagnosis it can make a substantial difference to know the temporal order in which some symptoms occurred or for how long they lasted. During prognosis the potential evolutions of a disease are conceived as a description of events unfolding in time. In therapy planning the different steps of treatment must be applied in a precise order, with a given frequency and for a certain span of time in order to be effective. This article offers a survey on the use of temporal reasoning for decision support-related tasks in medicine. Key publications of the area, mainly circumscribed to the latest two decades, are reviewed and classified according to three important stages of patient treatment requiring decision support: diagnosis, prognosis and therapy planning/management. Other complementary publications, like those on time-centered information storage and retrieval, are also considered as they provide valuable support to the above mentioned three stages. Key areas are highlighted and used to organize the latest contributions. The survey of previous research is followed by an analysis of what can still be improved and what is needed to make the next generation of decision support systems for medicine more effective. It can be observed that although the area has been considerably developed, there are still areas where more research is needed to make time-based systems of widespread use in decision support-related areas of medicine. Several suggestions for further exploration are proposed as a result of the survey.

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

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


    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. Copyright © 2014 Elsevier B.V. All rights reserved.

  15. Case-Based FCTF Reasoning System

    Jing Lu


    Full Text Available Case-based reasoning uses old information to infer the answer of new problems. In case-based reasoning, a reasoner firstly records the previous cases, then searches the previous case list that is similar to the current one and uses that to solve the new case. Case-based reasoning means adapting old solving solutions to new situations. This paper proposes a reasoning system based on the case-based reasoning method. To begin, we show the theoretical structure and algorithm of from coarse to fine (FCTF reasoning system, and then demonstrate that it is possible to successfully learn and reason new information. Finally, we use our system to predict practical weather conditions based on previous ones and experiments show that the prediction accuracy increases with further learning of the FCTF reasoning system.

  16. The cognition and neuroscience of relational reasoning.

    Krawczyk, Daniel C


    There has been a growing interest in understanding the complex cognitive processes that give rise to human reasoning. This review focuses on the cognitive and neural characteristics of relational reasoning and analogy performance. Initially relational reasoning studies that have investigated the neural basis of abstract reasoning with an emphasis on the prefrontal cortex are described. Next studies of analogical reasoning are reviewed with insights from neuropsychological and neuroimaging studies. Additionally, studies of cognitive components in analogical reasoning are described. This review draws together insights from numerous studies and concludes that prefrontal areas exhibit domain independence in relational reasoning, while posterior areas within the temporal, parietal, and occipital lobes show evidence of domain dependence in reasoning. Lastly, future directions in the study of relational reasoning are discussed. Copyright © 2010 Elsevier B.V. All rights reserved.

  17. Formalization and analysis of reasoning by assumption.

    Bosse, Tibor; Jonker, Catholijn M; Treur, Jan


    This article introduces a novel approach for the analysis of the dynamics of reasoning processes and explores its applicability for the reasoning pattern called reasoning by assumption. More specifically, for a case study in the domain of a Master Mind game, it is shown how empirical human reasoning traces can be formalized and automatically analyzed against dynamic properties they fulfill. To this end, for the pattern of reasoning by assumption a variety of dynamic properties have been specified, some of which are considered characteristic for the reasoning pattern, whereas some other properties can be used to discriminate among different approaches to the reasoning. These properties have been automatically checked for the traces acquired in experiments undertaken. The approach turned out to be beneficial from two perspectives. First, checking characteristic properties contributes to the empirical validation of a theory on reasoning by assumption. Second, checking discriminating properties allows the analyst to identify different classes of human reasoners. 2006 Lawrence Erlbaum Associates, Inc.

  18. Structuring students’ analogical reasoning in solving algebra problem

    Lailiyah, S.; Nusantara, T.; Sa'dijah, C.; Irawan, E. B.; Kusaeri; Asyhar, A. H.


    The average achievement of Indonesian students’ mathematics skills according to Benchmark International Trends in Mathematics and Science Study (TIMSS) is ranked at the 38th out of 42 countries and according to the survey result in Program for International Student Assessment (PISA) is ranked at the 64th out of 65 countries. The low mathematics skill of Indonesian student has become an important reason to research more deeply about reasoning and algebra in mathematics. Analogical reasoning is a very important component in mathematics because it is the key to creativity and it can make the learning process in the classroom become effective. The major part of the analogical reasoning is about structuring including the processes of inferencing and decision-making happens. Those processes involve base domain and target domain. Methodologically, the subjects of this research were 42 students from class XII. The sources of data were derived from the results of thinks aloud, the transcribed interviews, and the videos taken while the subject working on the instruments and interviews. The collected data were analyzed using qualitative techniques. The result of this study described the structuring characteristics of students’ analogical reasoning in solving algebra problems from all the research subjects.

  19. Individual differences and reasoning: a study on personality traits.

    Bensi, Luca; Giusberti, Fiorella; Nori, Raffaella; Gambetti, Elisa


    Personality can play a crucial role in how people reason and decide. Identifying individual differences related to how we actively gather information and use evidence could lead to a better comprehension and predictability of human reasoning. Recent findings have shown that some personality traits are related to similar decision-making patterns showed by people with mental disorders. We performed research with the aim to investigate delusion-proneness, obsessive-like personality, anxiety (trait and state), and reasoning styles in individuals from the general population. We introduced personality trait and state anxiety scores in a regression model to explore specific associations with: (1) amount of data-gathered prior to making a decision; and (2) the use of confirmatory and disconfirmatory evidence. Results showed that all our independent variables were positively or negatively associated with the amount of data collected in order to make simple probabilistic decisions. Anxiety and obsessiveness were the only predictors of the weight attributed to evidence in favour or against a hypothesis. Findings were discussed in relation to theoretical assumptions, predictions, and clinical implications. Personality traits can predict peculiar ways to reason and decide that, in turn, could be involved to some extent in the formation and/or maintenance of psychological disorders.

  20. Making Yugoslavs

    Nielsen, Christian Axboe

    . By the time Aleksandar was killed by an assassin’s bullet five years later, he not only had failed to create a unified Yugoslav nation but his dictatorship had also contributed to an increase in interethnic tensions.   In Making Yugoslavs, Christian Axboe Nielsen uses extensive archival research to explain...... the failure of the dictatorship’s program of forced nationalization. Focusing on how ordinary Yugoslavs responded to Aleksandar’s nationalization project, the book illuminates an often-ignored era of Yugoslav history whose lessons remain relevant not just for the study of Balkan history but for many...


    Leonardo Yuji Tamura


    Full Text Available Quantum Electronics was a Brazilian startup in the 1990's that was acquired by an American equity fund in 2012. They are currently the largest manufacturer of vehicle tracking and infotainment systems. The company was founded by three college friends, who are currently executives at the company: Camilo Santos, Pedro Barbosa and Luana Correa. Edward Hutter was sent by the equity fund to take over the company’s finances, but is having trouble making organizational decisions with his colleagues. As a consultant, I was called to help them improve their decision making process and project prioritization. I adapted and deployed our firm's methodology, but, in the end, its adequacy is shown to be very much in question. The author of this case study intends to explore how actual organizational decisions rely on different decision models and their assumptions, .as well as demonstrate that a decision model is neither absolutely good nor bad as its quality is context dependent.

  2. Decision Making in Action

    Orasanu, Judith; Statler, Irving C. (Technical Monitor)


    The importance of decision-making to safety in complex, dynamic environments like mission control centers and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. A similar observation has been made in nuclear power plants. Yet laboratory research on decision making has not proven especially helpful in improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multidimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication

  3. Wrong for the Right Reasons

    Buchwald, Jed Z


    The rapidity with which knowledge changes makes much of past science obsolete, and often just wrong, from the present's point of view. We no longer think, for example, that heat is a material substance transferred from hot to cold bodies. But is wrong science always or even usually bad science? The essays in this volume argue by example that much of the past's rejected science, wrong in retrospect though it may be - and sometimes markedly so - was nevertheless sound and exemplary of enduring standards that transcend the particularities of culture and locale.

  4. Economic reasoning and artificial intelligence.

    Parkes, David C; Wellman, Michael P


    The field of artificial intelligence (AI) strives to build rational agents capable of perceiving the world around them and taking actions to advance specified goals. Put another way, AI researchers aim to construct a synthetic homo economicus, the mythical perfectly rational agent of neoclassical economics. We review progress toward creating this new species of machine, machina economicus, and discuss some challenges in designing AIs that can reason effectively in economic contexts. Supposing that AI succeeds in this quest, or at least comes close enough that it is useful to think about AIs in rationalistic terms, we ask how to design the rules of interaction in multi-agent systems that come to represent an economy of AIs. Theories of normative design from economics may prove more relevant for artificial agents than human agents, with AIs that better respect idealized assumptions of rationality than people, interacting through novel rules and incentive systems quite distinct from those tailored for people. Copyright © 2015, American Association for the Advancement of Science.

  5. Fred Applegate's Money-Making Scheme

    Leitze, Annette Ricks; Soots, Kristen L.


    Teachers across all grade levels agree that problem solving and reasoning are areas of weakness in students. Assessments among U.S. students indicate that these weaknesses persist (NCTM 2014) in spite of repeated calls that date back more than thirty years for increased problem solving, reasoning, and sense making in our schools. The NCTM is…

  6. Relating Reasoning Methodologies in Linear Logic and Process Algebra

    Yuxin Deng


    Full Text Available We show that the proof-theoretic notion of logical preorder coincides with the process-theoretic notion of contextual preorder for a CCS-like calculus obtained from the formula-as-process interpretation of a fragment of linear logic. The argument makes use of other standard notions in process algebra, namely a labeled transition system and a coinductively defined simulation relation. This result establishes a connection between an approach to reason about process specifications and a method to reason about logic specifications.

  7. Informal Fallacies as Cognitive Heuristics in Public Health Reasoning

    Louise Cummings


    Full Text Available The public must make assessments of a range of health-related issues. However, these assessments require scientific know-ledge which is often lacking or ineffectively utilized by the public. Lay people must use whatever cognitive resources are at their disposal to come to judgement on these issues. It will be contended that a group of arguments—so-called informal fallacies—are a valuable cognitive resource in this regard. These arguments serve as cognitive heuristics which facilitate reasoning when knowledge is limited or beyond the grasp of reasoners. The results of an investigation into the use of these arguments by the public are reported.

  8. Clinical reasoning in nursing: teaching strategies and assessment tools

    Emília Campos de Carvalho

    Full Text Available ABSTRACT Objective: To present the concept and development of teaching strategies and the assessment tools regarding clinical reasoning for accurate practice. Method: This is a theoretical reflection based on scientific studies. Results: Comprehension of the essential concepts of the thought process and its articulation with the different teaching strategies and the assessment tools which has allowed presenting ways to improve the process of diagnostic or therapeutic clinical reasoning. Conclusion: The use of new strategies and assessment tools should be encouraged in order to contribute to the development of skills that lead to safe and effective decision making.

  9. Data Representations, Transformations, and Statistics for Visual Reasoning

    Maciejewski, Ross


    Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making. Recently, the analytical reasoning process has been augmented through the use of interactive visual representations and tools which utilize cognitive, design and perceptual principles. These tools are commonly referred to as visual analytics tools, and the underlying methods and principles have roots in a variety of disciplines. This chapter provides an introduction to young researchers as an overview of common visual

  10. Memory, reasoning, and categorization: parallels and common mechanisms.

    Hayes, Brett K; Heit, Evan; Rotello, Caren M


    Traditionally, memory, reasoning, and categorization have been treated as separate components of human cognition. We challenge this distinction, arguing that there is broad scope for crossover between the methods and theories developed for each task. The links between memory and reasoning are illustrated in a review of two lines of research. The first takes theoretical ideas (two-process accounts) and methodological tools (signal detection analysis, receiver operating characteristic curves) from memory research and applies them to important issues in reasoning research: relations between induction and deduction, and the belief bias effect. The second line of research introduces a task in which subjects make either memory or reasoning judgments for the same set of stimuli. Other than broader generalization for reasoning than memory, the results were similar for the two tasks, across a variety of experimental stimuli and manipulations. It was possible to simultaneously explain performance on both tasks within a single cognitive architecture, based on exemplar-based comparisons of similarity. The final sections explore evidence for empirical and processing links between inductive reasoning and categorization and between categorization and recognition. An important implication is that progress in all three of these fields will be expedited by further investigation of the many commonalities between these tasks.

  11. Memory, reasoning and categorization: Parallels and common mechanisms



    Full Text Available Traditionally, memory, reasoning and categorization have been treated as separate components of human cognition. We challenge this distinction, arguing that there is broad scope for crossover between the methods and theories developed for each task. The links between memory and reasoning are illustrated in a review of two lines of research. The first takes theoretical ideas (two-process accounts and methodological tools (signal detection analysis, receiver operating characteristic curves from memory research and applies them to important issues in reasoning research: relations between induction and deduction, and the belief bias effect. The second line of research introduces a task in which subjects make either memory or reasoning judgments for the same set of stimuli. Other than broader generalization for reasoning than memory, the results were similar for the two tasks, across a variety of experimental stimuli and manipulations. It was possible to simultaneously explain performance on both tasks within a single cognitive architecture, based on exemplar-based comparisons of similarity. The final sections explore evidence for empirical and processing links between inductive reasoning and categorization and between categorization and recognition. An important implication is that progress in all three of these fields will be expedited by further investigation of the many commonalities between these tasks.

  12. Francis Bacon On Understanding, Reason and Rhetoric

    Wallace, Karl R.


    Bacon's views of the faculties of understanding and reason are presented and explained in reference to Baconian rhetoric. Understanding, Rhetoric, Insinuative and Imaginative Reason are defined. (Author/MS)

  13. The Development of Analogical Reasoning Processes.

    Sternberg, Robert J.; Rifkin, Bathsheva


    Two experiments were conducted to test the generalizability to children of a theory of analogical reasoning processes, originally proposed for adults, and to examine the development of analogical reasoning processes in terms of five proposed sources of cognitive development. (MP)

  14. Epimenides: Interoperability Reasoning for Digital Preservation

    Kargakis, Yannis; Tzitzikas, Yannis; van Horik, M.P.M.


    This paper presents Epimenides, a system that implements a novel interoperability dependency reasoning approach for assisting digital preservation activities. A distinctive feature is that it can model also converters and emulators, and the adopted modelling approach enables the automatic reasoning

  15. Compositional Reasoning in Early Childhood.

    Steven Piantadosi

    Full Text Available Compositional "language of thought" models have recently been proposed to account for a wide range of children's conceptual and linguistic learning. The present work aims to evaluate one of the most basic assumptions of these models: children should have an ability to represent and compose functions. We show that 3.5-4.5 year olds are able to predictively compose two novel functions at significantly above chance levels, even without any explicit training or feedback on the composition itself. We take this as evidence that children at this age possess some capacity for compositionality, consistent with models that make this ability explicit, and providing an empirical challenge to those that do not.

  16. Nuclear energy: a reasonable choice?

    Nifenecker, H.


    While nuclear energy appears today as a powerful and carbon-free energy, it generates at the same time doubts and apprehension in the general public. Are these fears justified? Is France the most advanced country in the nuclear domain? Should we fear a Chernobyl-like accident in France? Is any irradiation dangerous? What would be the consequences of a terror attack against a reactor? Will nuclear energy be powerful enough to take up the energy reserves challenge? Will the waste management and the nuclear facilities dismantlement be extremely expensive in comparison with the electricity production costs? Do we know how to manage nuclear wastes on the long-term? This book tries to supply some relevant arguments in order to let the reader answering these questions himself and making his own opinion on this topic. (J.S.)

  17. Clinical reasoning in neurology: use of the repertory grid technique to investigate the reasoning of an experienced occupational therapist.

    Kuipers, Kathy; Grice, James W


    The aim of this paper is to describe the use of a structured interview methodology, the repertory grid technique, for investigating the clinical reasoning of an experienced occupational therapist in the domain of upper limb hypertonia as a result of brain injury. Repertory grid interviews were completed before and after exposure to a protocol designed to guide clinical reasoning and decision-making in relation to upper limb neurological rehabilitation. Data were subjected to both qualitative and quantitative analyses. Qualitative analysis focussed on clinical reasoning content. Common themes across the pre- and post-exposure interviews were the use of theoretical frameworks and practice models, the significance of clinical expertise, and discrimination of 'broad' and 'specific' aspects, as well as differentiation between 'therapist and client-related' aspects of the clinical situation. Quantitative analysis indicated that for both pre- and post-exposure repertory grids, clinical reasoning was structured in terms of two main concepts. In the pre-exposure grid, these were related to the therapist's role, and to the 'scope' of practice tasks (either broad or specific). In the post-exposure grid the two main concepts were upper limb performance, and client-centred aspects of the therapy process. The repertory grid technique is proposed as an effective tool for exploring occupational therapy clinical reasoning, based on its capacity for accessing personal frames of reference, and elucidating both the meaning and the structure supporting clinical reasoning.

  18. 5 CFR 536.104 - Reasonable offer.


    ... 5 Administrative Personnel 1 2010-01-01 2010-01-01 false Reasonable offer. 536.104 Section 536.104... Provisions § 536.104 Reasonable offer. (a) For the purpose of determining whether grade retention eligibility or entitlement must be terminated under § 536.207 or 536.208, the offer of a position is a reasonable...

  19. Primary School Teachers' Perceptions of Mathematical Reasoning

    Loong, Esther Yook-Kin; Vale, Colleen; Bragg, Leicha A.; Herbert, Sandra


    Little is known about how Australian teachers interpret, enact and assess reasoning. This paper reports on primary teachers' perceptions of reasoning prior to observation and subsequent trialling of demonstration lessons in a primary school. The findings indicate that while some teachers were able to articulate what reasoning means, others were…

  20. Evaluating Middle Years Students' Proportional Reasoning

    Hilton, Annette; Dole, Shelley; Hilton, Geoff; Goos, Merrilyn; O'Brien, Mia


    Proportional reasoning is a key aspect of numeracy that is not always developed naturally by students. Understanding the types of proportional reasoning that students apply to different problem types is a useful first step to identifying ways to support teachers and students to develop proportional reasoning in the classroom. This paper describes…