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  1. Deduction by children and animals: Does it follow the Johnson-Laird & Byrne model?Hank Davis - 1993 - Behavioral and Brain Sciences 16 (2):344-344.
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  • Tractability considerations in deduction.James M. Crawford - 1993 - Behavioral and Brain Sciences 16 (2):343-343.
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  • Some difficulties about deduction.L. Jonathan Cohen - 1993 - Behavioral and Brain Sciences 16 (2):341-342.
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  • Mental models and nonmonotonic reasoning.Nick Chater - 1993 - Behavioral and Brain Sciences 16 (2):340-341.
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  • “Semantic procedure” is an oxymoron.Alan Bundy - 1993 - Behavioral and Brain Sciences 16 (2):339-340.
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  • Moral dilemmas in females: children are more utilitarian than adults.Monica Bucciarelli - 2015 - Frontiers in Psychology 6:149174.
    Influential theories on moral judgments propose that they rely either on emotions or on innate moral principles. In contrast, the mental model theory postulates that moral judgments rely on reasoning, either intuition or deliberation. The theory allows for the possibility that intuitions lead to utilitarian judgments. This paper reports two experiments involving fifth-grade children, adolescents, and adults; the results revealed that children reason intuitively to resolve moral dilemmas in which action and inaction lead to different outcomes. In particular, the results (...)
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  • Deduction and induction: Reasoning through mental models. [REVIEW]Bruno G. Bara & Monica Bucciarelli - 2000 - Mind and Society 1 (1):95-107.
    In this paper we deal with two types of reasoning: induction, and deduction First, we present a unified computational model of deductive reasoning through models, where deduction occurs in five phases: Construction, Integration, Conclusion, Falsification, and Response. Second, we make an attempt, to analyze induction through the same phases. Our aim is an explorative evaluation of the mental processes possibly shared by deductive and inductive reasoning.
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  • Mental models cannot exclude mental logic and make little sense without it.Martin D. S. Braine - 1993 - Behavioral and Brain Sciences 16 (2):338-339.
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  • Toward a developmental theory of mental models.Bruno G. Bara - 1993 - Behavioral and Brain Sciences 16 (2):336-336.
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  • Model theory of deduction: a unified computational approach.Bruno G. Bara, Monica Bucciarelli & Vincenzo Lombardo - 2001 - Cognitive Science 25 (6):839-901.
    One of the most debated questions in psychology and cognitive science is the nature and the functioning of the mental processes involved in deductive reasoning. However, all existing theories refer to a specific deductive domain, like syllogistic, propositional or relational reasoning.Our goal is to unify the main types of deductive reasoning into a single set of basic procedures. In particular, we bring together the microtheories developed from a mental models perspective in a single theory, for which we provide a formal (...)
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  • Everyday reasoning and logical inference.Jon Barwise - 1993 - Behavioral and Brain Sciences 16 (2):337-338.
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  • Deduction as an example of thinking.Jonathan Baron - 1993 - Behavioral and Brain Sciences 16 (2):336-337.
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  • Getting down to cases.Kent Bach - 1993 - Behavioral and Brain Sciences 16 (2):334-336.
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  • Mental models and tableau logic.Avery D. Andrews - 1993 - Behavioral and Brain Sciences 16 (2):334-334.
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  • The Paradox of Moral Focus.Liane Young & Jonathan Phillips - 2011 - Cognition 119 (2):166-178.
    When we evaluate moral agents, we consider many factors, including whether the agent acted freely, or under duress or coercion. In turn, moral evaluations have been shown to influence our (non-moral) evaluations of these same factors. For example, when we judge an agent to have acted immorally, we are subsequently more likely to judge the agent to have acted freely, not under force. Here, we investigate the cognitive signatures of this effect in interpersonal situations, in which one agent (“forcer”) forces (...)
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  • More models just means more difficulty.N. E. Wetherick - 1993 - Behavioral and Brain Sciences 16 (2):367-368.
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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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  • Reasoning and choice in the Monty Hall Dilemma (MHD): implications for improving Bayesian reasoning.Elisabet Tubau, David Aguilar-Lleyda & Eric D. Johnson - 2015 - Frontiers in Psychology 6:133474.
    The Monty Hall Dilemma (MHD) is a two-step decision problem involving counterintuitive conditional probabilities. The first choice is made among three equally probable options, whereas the second choice takes place after the elimination of one of the non-selected options which does not hide the prize. Differing from most Bayesian problems, statistical information in the MHD has to be inferred, either by learning outcome probabilities or by reasoning from the presented sequence of events. This often leads to suboptimal decisions and erroneous (...)
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  • The task-specific nature of domain-general reasoning.Valerie A. Thompson - 2000 - Cognition 76 (3):209-268.
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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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  • 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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  • Relevance theory explains the selection task.D. Sperber - 1995 - Cognition 57 (1):31-95.
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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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  • The cognitive processes in informal reasoning.Victoria F. Shaw - 1996 - Thinking and Reasoning 2 (1):51 – 80.
    Two experiments investigated the factors that people consider when evaluating informal arguments in newspaper and magazine editorials. Experiment 1 showed that subjects were more likely to object to the truth of the premises and the conclusions of an argument than to the strength of the link between them. Experiment 1 also revealed two manipulations that helped subjects object to the link between premises and conclusions: rating how well the premises support the conclusions and rating the believability of the premises and (...)
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  • Unjustified presuppositions of competence.Leah Savion - 1993 - Behavioral and Brain Sciences 16 (2):364-365.
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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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  • Mental models, more or less.Thad A. Polk - 1993 - Behavioral and Brain Sciences 16 (2):362-363.
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  • Deduction and degrees of belief.David Over - 1993 - Behavioral and Brain Sciences 16 (2):361-362.
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  • Mental models and the tractability of everyday reasoning.Mike Oaksford - 1993 - Behavioral and Brain Sciences 16 (2):360-361.
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  • Hempel's paradox and Wason's selection task: Logical and psychological puzzles of confirmation.Raymond S. Nickerson - 1996 - Thinking and Reasoning 2 (1):1 – 31.
    Hempel's paradox of the ravens has to do with the question of what constitutes confirmation from a logical point of view; Wason 's selection task has been used extensively to investigate how people go about attempting to confirm or disconfirm conditional claims. This paper presents an argument that the paradox is resolved, and that people's typical performance in the selection task can be explained, by consideration of what constitutes an effective strategy for seeking evidence of the tenability of universal or (...)
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  • Do mental models provide an adequate account of syllogistic reasoning performance?Stephen E. Newstead - 1993 - Behavioral and Brain Sciences 16 (2):359-360.
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  • Looking for Arguments.Hugo Mercier - 2012 - Argumentation 26 (3):305-324.
    Abstract How do people find arguments while engaged in a discussion? Following an analogy with visual search, a mechanism that performs this task is described. It is a metarepresentational device that examines representations in a mostly serial manner until it finds a good enough argument supporting one’s position. It is argued that the mechanism described in dual process theories as ‘system 2’, or analytic reasoning fulfills these requirements. This provides support for the hypothesis that reasoning serves an argumentative function. Content (...)
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  • Intuitions about the epistemic virtues of majority voting.Hugo Mercier, Martin Dockendorff, Yoshimasa Majima, Anne-Sophie Hacquin & Melissa Schwartzberg - forthcoming - Thinking and Reasoning:1-19.
    The Condorcet Jury Theorem, along with empirical results, establishes the accuracy of majority voting in a broad range of conditions. Here we investigate whether naïve participants (in the U.S. and...
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  • Violations of coherence in subjective probability: A representational and assessment processes account.David R. Mandel - 2008 - Cognition 106 (1):130-156.
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  • Probabilistic factors in deontic reasoning.K. I. Manktelow, E. J. Sutherland & D. E. Over - 1995 - Thinking and Reasoning 1 (3):201 – 219.
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  • Models for deontic deduction.K. I. Manktelow - 1993 - Behavioral and Brain Sciences 16 (2):357-357.
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  • Visualizing the possibilities.Bruce J. MacLennan - 1993 - Behavioral and Brain Sciences 16 (2):356-357.
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  • Gestalt theory, formal models and mathematical modeling.Abraham S. Luchins & Edith H. Luchins - 1993 - Behavioral and Brain Sciences 16 (2):355-356.
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  • Focusing in Wason's selection task: Content and instruction effects.Roberta E. Love & Claudius M. Kessler - 1995 - Thinking and Reasoning 1 (2):153 – 182.
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  • Hypothesis testing in Wason's selection task: social exchange cheating detection or task understanding.N. Liberman - 1996 - Cognition 58 (1):127-156.
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  • Vittorio Girotto.Paolo Legrenzi & Phil Johnson-Laird - 2017 - Thinking and Reasoning 23 (1):1-9.
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  • The content of mental models.Paolo Legrenzi & Maria Sonino - 1993 - Behavioral and Brain Sciences 16 (2):354-355.
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  • Introduction.Paolo Legrenzi - 1994 - International Studies in the Philosophy of Science 8 (1):3.
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  • Reply to the commentators on a model theory of induction.Philip N. Johnson‐Laird - 1994 - International Studies in the Philosophy of Science 8 (1):73 – 96.
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  • Reasoning From Inconsistency to Consistency.P. N. Johnson-Laird, Vittorio Girotto & Paolo Legrenzi - 2004 - Psychological Review 111 (3):640-661.
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  • Précis of Deduction.Philip N. Johnson-Laird & Ruth M. J. Byrne - 1993 - Behavioral and Brain Sciences 16 (2):323-333.
    How do people make deductions? The orthodox view in psychology is that they use formal rules of inference like those of a “natural deduction” system.Deductionargues that their logical competence depends, not on formal rules, but on mental models. They construct models of the situation described by the premises, using their linguistic knowledge and their general knowledge. They try to formulate a conclusion based on these models that maintains semantic information, that expresses it parsimoniously, and that makes explicit something not directly (...)
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  • Mental models and probabilistic thinking.Philip N. Johnson-Laird - 1994 - Cognition 50 (1-3):189-209.
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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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  • Architecture and algorithms: Power sharing for mental models.Robert Inder - 1993 - Behavioral and Brain Sciences 16 (2):354-354.
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