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  1. Belief accripton, parsimony, and rationality.John Hell - 1983 - Behavioral and Brain Sciences 6 (3):365-366.
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  • Truth or consequences.John Heil - 1994 - Behavioral and Brain Sciences 17 (1):19-20.
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  • Rational analysis and the Lens model.Reid Hastie & Kenneth R. Hammond - 1991 - Behavioral and Brain Sciences 14 (3):498-498.
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  • Logic and probability theory versus canons of rationality.Gilbert Harman - 1983 - Behavioral and Brain Sciences 6 (2):251-251.
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  • Kyburg on practical certainty.Willam L. Harper - 1983 - Behavioral and Brain Sciences 6 (2):251-252.
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  • Adaptationist theorizing and intentional system theory.Gilbert Harman - 1983 - Behavioral and Brain Sciences 6 (3):365-365.
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  • Physicians neglect base rates, and it matters.Robert M. Hamm - 1996 - Behavioral and Brain Sciences 19 (1):25-26.
    A recent study showed physicians' reasoning about a realistic case to be ignorant of base rate. It also showed physicians interpreting information pertinent to base rate differently, depending on whether it was presented early or late in the case. Although these adult reasoners might do better if given hints through talk of relative frequencies, this would not prove that they had no problem of base rate neglect.
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  • : The development of deductive reasoning: How important is complexity?Graeme S. Halford & Glenda Andrews - 2004 - Thinking and Reasoning 10 (2):123 – 145.
    Current conceptions of the nature of human reasoning make it no longer tenable to assess children's inference by reference to the norms of logical inference. Alternatively, the complexity of the mental models employed in children's inferences can be analysed. This approach is applied to transitive inference, class inclusion, categorical induction, theory of mind, oddity, categorical syllogisms, analogy, and reasoning deficits. It is argued that a coherent account of children's reasoning emerges in that there is correspondence between tasks at the same (...)
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  • Consequences of consequentialism.Rick Grush - 1994 - Behavioral and Brain Sciences 17 (1):18-19.
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  • Introduction: methodologies of bounded rationality.Till Grüne-Yanoff, Caterina Marchionni & Ivan Moscati - 2014 - Journal of Economic Methodology 21 (4):325-342.
    The modelling of bounded rationality is currently pursued by approaches that exhibit a wide diversity of methodologies. This special issue collects five contributions that discuss different methodological aspects of these approaches. In our introduction, we map the variety of methodological positions with respect to three questions. First, what kinds of evidence do the respective approaches consider relevant for modelling bounded rationality? Second, what kind of modelling desiderata do the respective approaches focus on? And third, how do the respective approaches justify (...)
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  • Bounded rationality.Till Grüne-Yanoff - 2007 - Philosophy Compass 2 (3):534–563.
    The notion of bounded rationality has recently gained considerable popularity in the behavioural and social sciences. This article surveys the different usages of the term, in particular the way ‘anomalosus’ behavioural phenomena are elicited, how these phenomena are incorporated in model building, and what sort of new theories of behaviour have been developed to account for bounded rationality in choice and in deliberation. It also discusses the normative relevance of bounded rationality, in particular as a justifier of non‐standard reasoning and (...)
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  • Thinking about animal thoughts.Donald R. Griffin - 1983 - Behavioral and Brain Sciences 6 (3):364-364.
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  • Traps and gaps in action explanation: Theoretical problems of a psychology of human action.Werner Greve - 2001 - Psychological Review 108 (2):435-451.
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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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  • Bayes in the context of suboptimality.Robert A. M. Gregson - 1991 - Behavioral and Brain Sciences 14 (3):497-498.
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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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  • Intuition and inconsistency.Richard E. Grandy - 1983 - Behavioral and Brain Sciences 6 (3):494.
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  • Denoting and demoting international systems.George Graham - 1983 - Behavioral and Brain Sciences 6 (3):363-364.
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  • Functional role semantics and reflective equilibrium.Simone Gozzano - 2006 - Acta Analytica 21 (38):62-76.
    In this paper it is argued that functional role semantics can be saved from criticisms, such as those raised by Putnam and Fodor and Lepore, by indicating which beliefs and inferences are more constitutive in determining mental content. The Scylla is not to use vague expressions; the Charybdis is not to endorse the analytic/synthetic distinction. The core idea is to use reflective equilibrium as a strategy to pinpoint which are the beliefs and the inferences that constitute the content of a (...)
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  • Interpretation psychologized.Alvin I. Goldman - 1989 - Mind and Language 4 (3):161-85.
    The aim of this paper is to study interpretation, specifically, to work toward an account of interpretation that seems descriptively and explanatorily correct. No account of interpretation can be philosophically helpful, I submit, if it is incompatible with a correct account of what people actually do when they interpret others. My question, then, is: how does the (naive) interpreter arrive at his/her judgments about the mental attitudes of others? Philosophers who have addressed this question have not, in my view, been (...)
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  • Commentary/Elqayam & Evans: Subtracting “ought” from “is”.Natalie Gold, Andrew M. Colman & Briony D. Pulford - 2011 - Behavioral and Brain Sciences 34 (5).
    Normative theories can be useful in developing descriptive theories, as when normative subjective expected utility theory is used to develop descriptive rational choice theory and behavioral game theory. “Ought” questions are also the essence of theories of moral reasoning, a domain of higher mental processing that could not survive without normative considerations.
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  • Optimality and psychological explanation.Peter Godfrey-Smith - 1991 - Behavioral and Brain Sciences 14 (3):496-497.
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  • Moral errors.Clark Glymour - 1994 - Behavioral and Brain Sciences 17 (1):17-18.
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  • Judgment under uncertainty: Evolution may not favor a probabilistic calculus.Lev R. Ginzburg, Charles Janson & Scott Ferson - 1996 - Behavioral and Brain Sciences 19 (1):24-25.
    The environment in which humans evolved is strongly and positively autocorrelated in space and time. Probabilistic judgments based on the assumption of independence may not yield evolutionarily adaptive behavior. A number of “faults” of human reasoning are not faulty under fuzzy arithmetic, a nonprobabilistic calculus of reasoning under uncertainty that may be closer to that underlying human decision making.
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  • A framework for the unification of the behavioral sciences.Herbert Gintis - 2007 - Behavioral and Brain Sciences 30 (1):1-16.
    The various behavioral disciplines model human behavior in distinct and incompatible ways. Yet, recent theoretical and empirical developments have created the conditions for rendering coherent the areas of overlap of the various behavioral disciplines. The analytical tools deployed in this task incorporate core principles from several behavioral disciplines. The proposed framework recognizes evolutionary theory, covering both genetic and cultural evolution, as the integrating principle of behavioral science. Moreover, if decision theory and game theory are broadened to encompass other-regarding preferences, they (...)
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  • Why do frequency formats improve Bayesian reasoning? Cognitive algorithms work on information, which needs representation.Gerd Gigerenzer - 1996 - Behavioral and Brain Sciences 19 (1):23-24.
    In contrast to traditional research on base-rate neglect, an ecologically-oriented research program would analyze the correspondence between cognitive algorithms and the nature of information in the environment. Bayesian computations turn out to be simpler when information is represented in frequency formats as opposed to the probability formats used in previous research. Frequency formats often enable even uninstructed subjects to perform Bayesian reasoning.
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  • On narrow norms and vague heuristics: A reply to Kahneman and Tversky.Gerd Gigerenzer - 1996 - Psychological Review 103 (3):592-596.
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  • Does the environment have the same structure as Bayes' theorem?Gerd Gigerenzer - 1991 - Behavioral and Brain Sciences 14 (3):495-496.
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  • What does explanatory coherence explain?Ronald N. Giere - 1989 - Behavioral and Brain Sciences 12 (3):475-476.
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  • Lloyd Morgan's canon in evolutionary context.Michael T. Ghiselin - 1983 - Behavioral and Brain Sciences 6 (3):362-363.
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  • Beyond Helmholtz, or why not include inner determinants from the beginning?Hans-Georg Geissler - 1991 - Behavioral and Brain Sciences 14 (3):494-495.
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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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  • Why study deduction?Kathleen M. Galotti & Lloyd K. Komatsu - 1993 - Behavioral and Brain Sciences 16 (2):350-350.
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  • Expert intuitions and the interpretation of social psychological experiments.André Gallois & Michael Siegal - 1983 - Behavioral and Brain Sciences 6 (3):492.
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  • Human Rationality Challenges Universal Logic.Brian R. Gaines - 2010 - Logica Universalis 4 (2):163-205.
    Tarski’s conceptual analysis of the notion of logical consequence is one of the pinnacles of the process of defining the metamathematical foundations of mathematics in the tradition of his predecessors Euclid, Frege, Russell and Hilbert, and his contemporaries Carnap, Gödel, Gentzen and Turing. However, he also notes that in defining the concept of consequence “efforts were made to adhere to the common usage of the language of every day life.” This paper addresses the issue of what relationship Tarski’s analysis, and (...)
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  • Coherence: Beyond constraint satisfaction.Gareth Gabrys & Alan Lesgold - 1989 - Behavioral and Brain Sciences 12 (3):475-475.
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  • Base rates, stereotypes, and judgmental accuracy.David C. Funder - 1996 - Behavioral and Brain Sciences 19 (1):22-23.
    The base rate literature has an opposite twin in the social psychological literature on stereotypes, which concludes that people use their preexisting beliefs about probabilistic category attributes too much, rather than not enough. This ironic discrepancy arises because beliefs about category attributes enhance accuracy when the beliefs are accurate and diminish accuracy when they are not. To determine the accuracy of base rate/stereotype beliefs requires research that addresses specific content.
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  • The Sphere of Critical Thinking in a Post-Epistemic World.Steve Fuller - 1994 - Informal Logic 16 (1).
    Just as political theorists have long argued that democracy is viable only in communities of certain sizes and shapes, perhaps epistemologists should also entertain the idea that knowledge is possible only within certain social parameters-ones which today's world may have exceeded. This is what I mean by the "postepistemic" society. I understand an "epistemic society" in Popperian terms as an environment that fosters the spirit of conjectures and refutations. After castigating analytic philosophers for their failure to see this point, I (...)
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  • Scientific Inference and Ordinary Cognition: Fodor on Holism and Cognitive Architecture.Tim Fuller & Richard Samuels - 2014 - Mind and Language 29 (2):201-237.
    Do accounts of scientific theory formation and revision have implications for theories of everyday cognition? We maintain that failing to distinguish between importantly different types of theories of scientific inference has led to fundamental misunderstandings of the relationship between science and everyday cognition. In this article, we focus on one influential manifestation of this phenomenon which is found in Fodor's well-known critique of theories of cognitive architecture. We argue that in developing his critique, Fodor confounds a variety of distinct claims (...)
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  • Is consequentialism better regarded as a form of reasoning or as a pattern of behavior?Steve Fuller - 1994 - Behavioral and Brain Sciences 17 (1):16-17.
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  • Confirmation and Meaning Holism Revisited.Timothy Fuller - 2020 - Erkenntnis 85 (6):1379-1397.
    Does confirmation holism imply meaning holism? A plausible and novel argument, all of whose premises enjoy significant support among contemporary philosophers, links the two theses. This article presents this argument and diagnoses it with a weakness. The weakness illustrates a general difficulty with drawing morals for the nature of ordinary thought and language from claims about the nature of science. The diagnosis is instructive: It suggests more fruitful relations between theories of scientific theory confirmation and semantic theories of our everyday (...)
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  • Note on the integration of prototype theory and fuzzy-set theory.Gy Fuhrmann - 1991 - Synthese 86 (1):1 - 27.
    Many criticisms of prototype theory and/or fuzzy-set theory are based on the assumption that category representativeness (or typicality) is identical with fuzzy membership. These criticisms also assume that conceptual combination and logical rules (all in the Aristotelian sense) are the appropriate criteria for the adequacy of the above “fuzzy typicality”. The present paper discusses these assumptions following the line of their most explicit and most influential expression by Osheron and Smith (1981). Several arguments are made against the above identification, the (...)
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  • “Prototypes” and “fuzziness” in the logic of concepts.Gy Fuhrmann - 1988 - Synthese 75 (3):317 - 347.
    Prototypes and fuzziness are regarded in this paper as fundamental phenomena in the inherent logic of concepts whose relationship, however, has not been sufficiently clarified. Therefore, modifications are proposed in the definition of both. Prototypes are defined as the elements possessing maximal degree of membership in the given category such thatthis membership has maximal cognitive efficiency in representing theelement. A modified fuzzy set (m-fuzzy set) is defined on aclass (possibly self-contradictory collection) such that its core (the collection of elements with (...)
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  • Fuzziness of concepts and concepts of fuzziness.Gy Fuhrmann - 1988 - Synthese 75 (3):349 - 372.
    It has been a vexing question in recent years whether concepts are fuzzy. In this paper several views on the fuzziness of concepts are pointed out to have stemmed from dubious concepts of fuzziness. The underlying notions of the roles feasibly played byprototype, set, andprobability in modeling concepts strongly suggest that the controversy originates from a vague relation between intuitive and mathematical ideas in the cognitive sciences. It is argued that the application of fuzzy sets cannot resolve this vagueness since (...)
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  • Violations of probability theory: What do they mean?Deborah E. Frisch - 1988 - Journal for the Theory of Social Behaviour 18 (2):137–148.
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  • Tractable competence.Marcello Frixione - 2001 - Minds and Machines 11 (3):379-397.
    In the study of cognitive processes, limitations on computational resources (computing time and memory space) are usually considered to be beyond the scope of a theory of competence, and to be exclusively relevant to the study of performance. Starting from considerations derived from the theory of computational complexity, in this paper I argue that there are good reasons for claiming that some aspects of resource limitations pertain to the domain of a theory of competence.
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  • Consequentialism and utility theory.Deborah Frisch - 1994 - Behavioral and Brain Sciences 17 (1):16-16.
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  • A philosophical basis for decision aiding.Anthony N. S. Freeling - 1984 - Theory and Decision 16 (2):179-206.
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  • Mental models and informal logic.Alec Fisher - 1993 - Behavioral and Brain Sciences 16 (2):349-349.
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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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