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  1. Inference and the structure of concepts.Matías Osta Vélez - 2020 - Dissertation, Ludwig Maximilians Universität, München
    This thesis studies the role of conceptual content in inference and reasoning. The first two chapters offer a theoretical and historical overview of the relation between inference and meaning in philosophy and psychology. In particular, a critical analysis of the formality thesis, i.e., the idea that rational inference is a rule-based and topic-neutral mechanism, is advanced. The origins of this idea in logic and its influence in philosophy and cognitive psychology are discussed. Chapter 3 consists of an analysis of the (...)
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  • Counterexample Search in Diagram‐Based Geometric Reasoning.Yacin Hamami, John Mumma & Marie Amalric - 2021 - Cognitive Science 45 (4):e12959.
    Topological relations such as inside, outside, or intersection are ubiquitous to our spatial thinking. Here, we examined how people reason deductively with topological relations between points, lines, and circles in geometric diagrams. We hypothesized in particular that a counterexample search generally underlies this type of reasoning. We first verified that educated adults without specific math training were able to produce correct diagrammatic representations contained in the premisses of an inference. Our first experiment then revealed that subjects who correctly judged an (...)
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  • Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests.Zhuangzhuang Han, Qiwei He & Matthias von Davier - 2019 - Frontiers in Psychology 10.
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  • Possibilities as the foundation of reasoning.P. N. Johnson-Laird & Marco Ragni - 2019 - Cognition 193 (C):103950.
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  • A rational analysis of the selection task as optimal data selection.Mike Oaksford & Nick Chater - 1994 - Psychological Review 101 (4):608-631.
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  • A model theory of modal reasoning.Victoria A. Bell & P. N. Johnson-Laird - 1998 - Cognitive Science 22 (1):25-51.
    This paper presents a new theory of modal reasoning, i.e. reasoning about what may or may not be the case, and what must or must not be the case. It postulates that individuals construct models of the premises in which they make explicit only what is true. A conclusion is possible if it holds in at least one model, whereas it is necessary if it holds in all the models. The theory makes three predictions, which are corroborated experimentally. First, conclusions (...)
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  • Representations in distributed cognitive tasks.Jianhui Zhang & Donald A. Norman - 1994 - Cognitive Science 18 (1):87-122.
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  • Illusions in quantified reasoning: How to make the impossible seem possible, and vice versa.Yingrui Yang & Philip Johnson-Laird - 2000 - Memory and Cognition 28 (3):452-465.
    The mental model theory postulates that reasoners build models of the situations described in premises, and that these models normally represent only what is true. The theory has an unexpected consequence. It predicts the existence ofillusions in inferences. Certain inferences should have compelling but erroneous conclusions. Two experiments corroborated the occurrence of such illusions in inferences about what is possible from disjunctions of quantified assertions, such as, “at least some of the plastic beads are not red.” Experiment 1 showed that (...)
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  • Matching versus optimal data selection in the Wason selection task.Hiroshi Yama - 2001 - Thinking and Reasoning 7 (3):295 – 311.
    It has been reported as a robust effect that people are likely to select a matching case in the Wason selection task. For example, they usually select the 5 case, in the Wason selection task with the conditional "if an E, then a not-5". This was explained by the matching bias account that people are likely to regard a matching case as relevant to the truth of the conditional (Evans, 1998). However, because a positive concept usually constructs a smaller set (...)
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  • Dual processes of emotion and reason in judgments about moral dilemmas.Eoin Gubbins & Ruth M. J. Byrne - 2014 - Thinking and Reasoning 20 (2):245-268.
    We report the results of two experiments that show that participants rely on both emotion and reason in moral judgments. Experiment 1 showed that when participants were primed to communicate feelings, they provided emotive justifications not only for personal dilemmas, e.g., pushing a man from a bridge that will result in his death but save the lives of five others, but also for impersonal dilemmas, e.g., hitting a switch on a runaway train that will result in the death of one (...)
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  • Deductive models and practical reasoning.Max Urchs - 1997 - Logic and Logical Philosophy 5:149-165.
    Cognitive psychology investigates the structural properties of human reasoning. We review some achievements of this kind of research and give a critical evaluation of its methods.
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  • Scientific thinking and mental models.Ryan D. Tweney - 1993 - Behavioral and Brain Sciences 16 (2):366-367.
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  • Computational resources do constrain behavior.John K. Tsotsos - 1991 - Behavioral and Brain Sciences 14 (3):506-507.
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  • Inept reasoners or pragmatic virtuosos? Relevance and the deontic selection task.Vittorio Girotto, Markus Kemmelmeier, Dan Sperber & Jean-Baptiste van der Henst - 2001 - Cognition 81 (2):B69-B76.
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  • The cognitive laboratory, the library and the Skinner box.Howard Rachlin - 1991 - Behavioral and Brain Sciences 14 (3):501-501.
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  • Mental models or formal rules?Philip N. Johnson-Laird & Ruth M. J. Byrne - 1993 - Behavioral and Brain Sciences 16 (2):368-380.
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  • Everyday reasoning and logical inference.Jon Barwise - 1993 - Behavioral and Brain Sciences 16 (2):337-338.
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  • Situation theory and mental models.Alice G. B. ter Meulen - 1993 - Behavioral and Brain Sciences 16 (2):358-359.
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  • Semantics as a foundation for psychology: A case study of Wason's selection task. [REVIEW]Keith Stenning & Michiel van Lambalgen - 2001 - Journal of Logic, Language and Information 10 (3):273-317.
    We review the various explanations that have been offered toaccount for subjects'' behaviour in Wason ''s famous selection task. Weargue that one element that is lacking is a good understanding ofsubjects'' semantics for the key expressions involved, and anunderstanding of how this semantics is affected by the demands the taskputs upon the subject''s cognitive system. We make novel proposals inthese terms for explaining the major content effects of deonticmaterials. Throughout we illustrate with excerpts from tutorialdialogues which motivate the kinds of (...)
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  • Nonsentential representation and nonformality.Keith Stenning & Jon Oberlander - 1993 - Behavioral and Brain Sciences 16 (2):365-366.
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  • Models, rules and expertise.Rosemary J. Stevenson - 1993 - Behavioral and Brain Sciences 16 (2):366-366.
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  • A little logic goes a long way: basing experiment on semantic theory in the cognitive science of conditional reasoning.Keith Stenning & Michiel Lambalgen - 2004 - Cognitive Science 28 (4):481-529.
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  • A little logic goes a long way: basing experiment on semantic theory in the cognitive science of conditional reasoning.Keith Stenning & Michiel van Lambalgen - 2004 - Cognitive Science 28 (4):481-529.
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  • Advancing the rationality debate.Keith E. Stanovich & Richard F. West - 2000 - Behavioral and Brain Sciences 23 (5):701-717.
    In this response, we clarify several misunderstandings of the understanding/acceptance principle and defend our specific operationalization of that principle. We reiterate the importance of addressing the problem of rational task construal and we elaborate the notion of computational limitations contained in our target article. Our concept of thinking dispositions as variable intentional-level styles of epistemic and behavioral regulation is explained, as is its relation to the rationality debate. Many of the suggestions of the commentators for elaborating two-process models are easily (...)
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  • Relevance theory explains the selection task.D. Sperber - 1995 - Cognition 57 (1):31-95.
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  • Rationality and irrationality: Still fighting words.Paul Snow - 1991 - Behavioral and Brain Sciences 14 (3):505-506.
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  • A Bayesian theory of thought.Howard Smokler - 1991 - Behavioral and Brain Sciences 14 (3):505-505.
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  • The Case for Rules in Reasoning.Edward E. Smith, Christopher Langston & Richard E. Nisbett - 1992 - Cognitive Science 16 (1):1-40.
    A number of theoretical positions in psychology—including variants of case‐based reasoning, instance‐based analogy, and connectionist models—maintain that abstract rules are not involved in human reasoning, or at best play a minor role. Other views hold that the use of abstract rules is a core aspect of human reasoning. We propose eight criteria for determining whether or not people use abstract rules in reasoning, and examine evidence relevant to each criterion for several rule systems. We argue that there is substantial evidence (...)
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  • But how does the brain think?Steven L. Small - 1991 - Behavioral and Brain Sciences 14 (3):504-505.
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  • Do We “do‘?Steven A. Sloman & David A. Lagnado - 2005 - Cognitive Science 29 (1):5-39.
    A normative framework for modeling causal and counterfactual reasoning has been proposed by Spirtes, Glymour, and Scheines. The framework takes as fundamental that reasoning from observation and intervention differ. Intervention includes actual manipulation as well as counterfactual manipulation of a model via thought. To represent intervention, Pearl employed the do operator that simplifies the structure of a causal model by disconnecting an intervened-on variable from its normal causes. Construing the do operator as a psychological function affords predictions about how people (...)
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  • The rationality of causal inference.Thomas R. Shultz - 1991 - Behavioral and Brain Sciences 14 (3):503-504.
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  • Uncertainty and the difficulty of thinking through disjunctions.Eldar Shafir - 1994 - Cognition 50 (1-3):403-430.
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  • On the nonapplicability of a rational analysis to human cognition.Eldar Shafir - 1991 - Behavioral and Brain Sciences 14 (3):502-503.
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  • Constraints on Analogical Mapping: A Comparison of Three Models.Mark T. Keane, Tim Ledgeway & Stuart Duff - 1994 - Cognitive Science 18 (3):387-438.
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  • Rational analysis will not throw off the yoke of the precision-importance trade-off function.Wolfgang Schwarz - 1991 - Behavioral and Brain Sciences 14 (3):501-502.
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  • Unjustified presuppositions of competence.Leah Savion - 1993 - Behavioral and Brain Sciences 16 (2):364-365.
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  • Rationality disputes – psychology and epistemology.Patrick Rysiew - 2008 - Philosophy Compass 3 (6):1153-1176.
    This paper reviews the largely psychological literature surrounding apparent failures of human rationality (sometimes referred to as 'the Rationality Wars') and locates it with respect to concepts and issues within more traditional epistemological inquiry. The goal is to bridge the gap between these two large and typically disconnected literatures – concerning rationality and the psychology of human reasoning, on the one hand, and epistemological theories of justified or rational belief, on the other – and to do so in such as (...)
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  • Context, visual salience, and inductive reasoning.Maxwell J. Roberts, Heather Welfare, Doreen P. Livermore & Alice M. Theadom - 2000 - Thinking and Reasoning 6 (4):349 – 374.
    An important debate in the reasoning literature concerns the extent to which inference processes are domain-free or domain-specific. Typically, evidence in support of the domain-specific position comprises the facilitation observed when abstract reasoning tasks are set in realistic context. Three experiments are reported here in which the sources of facilitation were investigated for contextualised versions of Raven's Progressive Matrices (Richardson, 1991) and non-verbal analogies from the AH4 test (Richardson & Webster, 1996). Experiment 1 confirmed that the facilitation observed for the (...)
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  • The psychology of knights and knaves.Lance J. Rips - 1989 - Cognition 31 (2):85-116.
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  • Paralogical reasoning: Evans, Johnson-Laird, and Byrne on liar and truth-teller puzzles.Lance J. Rips - 1990 - Cognition 36 (3):291-314.
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  • Analyzing Argumentation In Rich, Natural Contexts.Anita Reznitskaya & Richard C. Anderson - 2006 - Informal Logic 26 (2):175-198.
    The paper presents the theoretical and methodological aspects of research on the development of argument- ation in elementary school children. It presents a theoretical framework detailing psychological mechanisms responsible for the acquisition and transfer of argumentative discourse and demonstrates several applications of the framework, described in sufficient detail to guide future empirical investigations of oral, written, individual, or group argumentation performance. Software programs capable of facilitating data analysis are identified and their uses illustrated. The analytic schemes can be used to (...)
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  • Reasons, cognition and society.Raymond Boudon & Riccardo Viale - 2000 - Mind and Society 1 (1):41-56.
    Homo sociologicus and homo oeconomicus are, for different reasons, unsatisfactory models for the social sciences. A third model, called “rational model in the broad sense”, seems better endowed to cope with the many different expressions of rationality of the social agent. Some contributions by Weber, Durkheim and Marx are early examples of the application of this model of social explanation based on good subjective reasons. According to this model and to the evidence of cognitive anthropology, it is possible to reconcile (...)
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  • Reasoning with deontic and counterfactual conditionals.Ana Cristina Quelhas & Ruth Byrne - 2003 - Thinking and Reasoning 9 (1):43 – 65.
    We report two new phenomena of deontic reasoning: (1) For conditionals with deontic content such as, "If the nurse cleaned up the blood then she must have worn rubber gloves", reasoners make more modus tollens inferences (from "she did not wear rubber gloves" to "she did not clean up the blood") compared to conditionals with epistemic content. (2) For conditionals in the subjunctive mood with deontic content, such as, "If the nurse had cleaned up the blood then she must have (...)
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  • A simplicity principle in unsupervised human categorization.Emmanuel M. Pothos & Nick Chater - 2002 - Cognitive Science 26 (3):303-343.
    We address the problem of predicting how people will spontaneously divide into groups a set of novel items. This is a process akin to perceptual organization. We therefore employ the simplicity principle from perceptual organization to propose a simplicity model of unconstrained spontaneous grouping. The simplicity model predicts that people would prefer the categories for a set of novel items that provide the simplest encoding of these items. Classification predictions are derived from the model without information either about the number (...)
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  • There is no need for (even fully fleshed out) mental models to map onto formal logic.Paul Pollard - 1993 - Behavioral and Brain Sciences 16 (2):363-364.
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  • Darwinian algorithms and the Wason selection task: A factorial analysis of social contract selection task problems.Richard D. Platt & Richard A. Griggs - 1993 - Cognition 48 (2):163-192.
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  • Rationality: What it is, why it seems scarce, why it matters. [REVIEW]Enrico Petracca - 2022 - Journal of Economic Methodology 29 (4):335-339.
    Periodically, by a rough estimate twice per decade, a new popular book aspires to shake our common understanding of rationality. Since this concept is not only the backbone of normative analysis in...
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  • Deontic Reasoning With Emotional Content: Evolutionary Psychology or Decision Theory?Nick Perham & Mike Oaksford - 2005 - Cognitive Science 29 (5):681-718.
    Three experiments investigated the contrasting predictions of the evolutionary and decision-theoretic approaches to deontic reasoning. Two experiments embedded a hazard management (HM) rule in a social contract scenario that should lead to competition between innate modules. A 3rd experiment used a pure HM task. Threatening material was also introduced into the antecedent, p, of a deontic rule, if p then must q. According to the evolutionary approach, more HM responses (Cosmides & Tooby, 2000) are predicted when p is threatening, whereas (...)
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  • Perspectives, preferences, and probabilities.D. E. Over & K. I. Manktelow - 1995 - Thinking and Reasoning 1 (4):364 – 371.
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  • Everyday reasoning with inducements and advice.Eyvind Ohm & Valerie A. Thompson - 2004 - Thinking and Reasoning 10 (3):241 – 272.
    In two experiments, we investigated how people interpret and reason with realistic conditionals in the form of inducements (i.e., promises and threats) and advice (i.e., tips and warnings). We found that inducements and advice differed with respect to the degree to which the speaker was perceived to have (a) control over the consequent, (b) a stake in the outcome, and (c) an obligation to ensure that the outcome occurs. Inducements and advice also differed with respect to perceived sufficiency and necessity, (...)
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