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  1. Logical reasoning and domain specificity: A critique of the social exchange theory of reasoning.Paul Sheldon Davies, James H. Fetzer & Thomas R. Foster - 1995 - Biology and Philosophy 10 (1):1-37.
    The social exchange theory of reasoning, which is championed by Leda Cosmides and John Tooby, falls under the general rubric “evolutionary psychology” and asserts that human reasoning is governed by content-dependent, domain-specific, evolutionarily-derived algorithms. According to Cosmides and Tooby, the presumptive existence of what they call “cheater-detection” algorithms disconfirms the claim that we reason via general-purpose mechanisms or via inductively acquired principles. We contend that the Cosmides/Tooby arguments in favor of domain-specific algorithms or evolutionarily-derived mechanisms fail and that the notion (...)
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  • Domain-specific reasoning: Social contracts, cheating, and perspective change.Gerd Gigerenzer & Klaus Hug - 1992 - Cognition 43 (2):127-171.
    What counts as human rationality: reasoning processes that embody content-independent formal theories, such as propositional logic, or reasoning processes that are well designed for solving important adaptive problems? Most theories of human reasoning have been based on content-independent formal rationality, whereas adaptive reasoning, ecological or evolutionary, has been little explored. We elaborate and test an evolutionary approach, Cosmides' social contract theory, using the Wason selection task. In the first part, we disentangle the theoretical concept of a “social contract” from that (...)
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  • Unjustified presuppositions of competence.Leah Savion - 1993 - Behavioral and Brain Sciences 16 (2):364-365.
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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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  • Situation theory and mental models.Alice G. B. ter Meulen - 1993 - Behavioral and Brain Sciences 16 (2):358-359.
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  • Getting down to cases.Kent Bach - 1993 - Behavioral and Brain Sciences 16 (2):334-336.
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  • Précis of bayesian rationality: The probabilistic approach to human reasoning.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):69-84.
    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 (...)
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  • Popper's severity of test as an intuitive probabilistic model of hypothesis testing.Fenna H. Poletiek - 2009 - Behavioral and Brain Sciences 32 (1):99-100.
    Severity of Test (SoT) is an alternative to Popper's logical falsification that solves a number of problems of the logical view. It was presented by Popper himself in 1963. SoT is a less sophisticated probabilistic model of hypothesis testing than Oaksford & Chater's (O&C's) information gain model, but it has a number of striking similarities. Moreover, it captures the intuition of everyday hypothesis testing.
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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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  • 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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  • The uncertain reasoner: Bayes, logic, and rationality.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):105-120.
    Human cognition requires coping with a complex and uncertain world. This suggests that dealing with uncertainty may be the central challenge for human reasoning. In Bayesian Rationality we argue that probability theory, the calculus of uncertainty, is the right framework in which to understand everyday reasoning. We also argue that probability theory explains behavior, even on experimental tasks that have been designed to probe people's logical reasoning abilities. Most commentators agree on the centrality of uncertainty; some suggest that there is (...)
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  • Rationality, biology and optimality.Carolyn Price - 2002 - Biology and Philosophy 17 (5):613-634.
    A historical theory of rational norms claims that, if we are supposed to think rationally, this is because it is biologically normal for us to do so. The historical theorist is committed to the view that we are supposed to think rationally only if, in the past, adult humans sometimes thought rationally. I consider whether there is any plausible model of rational norms that can be adopted by the historical theorist that is compatible with the claim that adult human beings (...)
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  • Two projects for understanding the mind: A response to Morris and Richardson. [REVIEW]Nick Chater & Martin Pickering - 1997 - Minds and Machines 7 (4):553-569.
    We respond to Morris and Richardson 's claim that Pickering and Chater's arguments about the lack of a relation between cognitive science and folk psychology are flawed. We note that possible controversies about the appropriate uses for the two terms do not affect our arguments. We then address their claim that computational explanation of knowledge-rich processes has proved possible in the domains of problem solving, scientific discovery, and reasoning. We argue that, in all cases, computational explanation is only possible for (...)
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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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  • Deductive reasoning: What are taken to be the premises and how are they interpreted?Samuel Fillenbaum - 1993 - Behavioral and Brain Sciences 16 (2):348-349.
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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 the tractability of everyday reasoning.Mike Oaksford - 1993 - Behavioral and Brain Sciences 16 (2):360-361.
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  • Why study deduction?Kathleen M. Galotti & Lloyd K. Komatsu - 1993 - Behavioral and Brain Sciences 16 (2):350-350.
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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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  • “Semantic procedure” is an oxymoron.Alan Bundy - 1993 - Behavioral and Brain Sciences 16 (2):339-340.
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  • Social roles and utilities in reasoning with deontic conditionals.K. I. Manktelow & D. E. Over - 1991 - Cognition 39 (2):85-105.
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  • No interpretation without representation: the role of domain-specific representations and inferences in the Wason selection task.Laurence Fiddick, Leda Cosmides & John Tooby - 2000 - Cognition 77 (1):1-79.
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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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  • Models, rules and expertise.Rosemary J. Stevenson - 1993 - Behavioral and Brain Sciences 16 (2):366-366.
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  • A number of questions about a question of number.Alan Garnham - 1993 - Behavioral and Brain Sciences 16 (2):350-351.
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  • Tractability considerations in deduction.James M. Crawford - 1993 - Behavioral and Brain Sciences 16 (2):343-343.
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  • The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task.Leda Cosmides - 1989 - Cognition 31 (3):187-276.
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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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  • Models for deontic deduction.K. I. Manktelow - 1993 - Behavioral and Brain Sciences 16 (2):357-357.
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  • Mental-model theory and rationality.Pascal Engel - 1993 - Behavioral and Brain Sciences 16 (2):345-345.
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  • Everyday reasoning and logical inference.Jon Barwise - 1993 - Behavioral and Brain Sciences 16 (2):337-338.
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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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  • 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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  • (1 other version)The logical content of theories of deduction.Wilfrid Hodges - 1993 - Behavioral and Brain Sciences 16 (2):353-354.
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  • On modes of explanation.Rachel Joffe Falmagne - 1993 - Behavioral and Brain Sciences 16 (2):346-347.
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  • Rule systems are not dead: Existential quantifiers are harder.Richard E. Grandy - 1993 - Behavioral and Brain Sciences 16 (2):351-352.
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  • Mental models: Rationality, representation and process.D. W. Green - 1993 - Behavioral and Brain Sciences 16 (2):352-353.
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  • On rules, models and understanding.Jonathan St B. T. Evans - 1993 - Behavioral and Brain Sciences 16 (2):345-346.
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  • Visualizing the possibilities.Bruce J. MacLennan - 1993 - Behavioral and Brain Sciences 16 (2):356-357.
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  • Deduction and degrees of belief.David Over - 1993 - Behavioral and Brain Sciences 16 (2):361-362.
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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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  • Architecture and algorithms: Power sharing for mental models.Robert Inder - 1993 - Behavioral and Brain Sciences 16 (2):354-354.
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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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  • Nonsentential representation and nonformality.Keith Stenning & Jon Oberlander - 1993 - Behavioral and Brain Sciences 16 (2):365-366.
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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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  • Mental models, more or less.Thad A. Polk - 1993 - Behavioral and Brain Sciences 16 (2):362-363.
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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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  • Mental models and nonmonotonic reasoning.Nick Chater - 1993 - Behavioral and Brain Sciences 16 (2):340-341.
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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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  • Mental models and informal logic.Alec Fisher - 1993 - Behavioral and Brain Sciences 16 (2):349-349.
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