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  1. Good Guesses.Kevin Dorst & Matthew Mandelkern - 2021 - Philosophy and Phenomenological Research 105 (3):581-618.
    This paper is about guessing: how people respond to a question when they aren’t certain of the answer. Guesses show surprising and systematic patterns that the most obvious theories don’t explain. We argue that these patterns reveal that people aim to optimize a tradeoff between accuracy and informativity when forming their guess. After spelling out our theory, we use it to argue that guessing plays a central role in our cognitive lives. In particular, our account of guessing yields new theories (...)
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  • Quantum-like models cannot account for the conjunction fallacy.Thomas Boyer-Kassem, Sébastien Duchêne & Eric Guerci - 2016 - Theory and Decision 81 (4):479-510.
    Human agents happen to judge that a conjunction of two terms is more probable than one of the terms, in contradiction with the rules of classical probabilities—this is the conjunction fallacy. One of the most discussed accounts of this fallacy is currently the quantum-like explanation, which relies on models exploiting the mathematics of quantum mechanics. The aim of this paper is to investigate the empirical adequacy of major quantum-like models which represent beliefs with quantum states. We first argue that they (...)
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  • The conjunction fallacy and the many meanings of and.Ralph Hertwig, Björn Benz & Stefan Krauss - 2008 - Cognition 108 (3):740-753.
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  • Similarity and induction.Matthew Weber & Daniel Osherson - 2010 - Review of Philosophy and Psychology 1 (2):245-264.
    We advance a theory of inductive reasoning based on similarity, and test it on arguments involving mammal categories. To measure similarity, we quantified the overlap of neural activation in left Brodmann area 19 and the left ventral temporal cortex in response to pictures of different categories; the choice of of these regions is motivated by previous literature. The theory was tested against probability judgments for 40 arguments generated from 9 mammal categories and a common predicate. The results are interpreted in (...)
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  • On the nature of the conjunction fallacy.Rodrigo Moro - 2009 - Synthese 171 (1):1 - 24.
    In a seminal work, Tversky and Kahneman showed that in some contexts people tend to believe that a conjunction of events (e.g., Linda is a bank teller and is active in the feminist movement) is more likely to occur than one of the conjuncts (e.g., Linda is a bank teller). This belief violates the conjunction rule in probability theory. Tversky and Kahneman called this phenomenon the “conjunction fallacy”. Since the discovery of the phenomenon in 1983, researchers in psychology and philosophy (...)
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  • Probability, confirmation, and the conjunction fallacy.Vincenzo Crupi, Branden Fitelson & Katya Tentori - 2007 - Thinking and Reasoning 14 (2):182 – 199.
    The conjunction fallacy has been a key topic in debates on the rationality of human reasoning and its limitations. Despite extensive inquiry, however, the attempt to provide a satisfactory account of the phenomenon has proved challenging. Here we elaborate the suggestion (first discussed by Sides, Osherson, Bonini, & Viale, 2002) that in standard conjunction problems the fallacious probability judgements observed experimentally are typically guided by sound assessments of _confirmation_ relations, meant in terms of contemporary Bayesian confirmation theory. Our main formal (...)
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  • The conjunction fallacy: a misunderstanding about conjunction?K. Tentori - 2004 - Cognitive Science 28 (3):467-477.
    It is easy to construct pairs of sentences X, Y that lead many people to ascribe higher probability to the conjunction X‐and‐Y than to the conjuncts X, Y. Whether an error is thereby committed depends on reasoners' interpretation of the expressions “probability” and “and.” We report two experiments designed to clarify the normative status of typical responses to conjunction problems.
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  • On the conjunction fallacy and the meaning of and, yet again: A reply to.Katya Tentori & Vincenzo Crupi - 2012 - Cognition 122 (2):123-134.
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  • Contrastive Bayesianism.Branden Fitelson - 2013 - In Martijn Blaauw (ed.), Contrastivism in philosophy. New York: Routledge/Taylor & Francis Group.
    Bayesianism provides a rich theoretical framework, which lends itself rather naturally to the explication of various “contrastive” and “non-contrastive” concepts. In this (brief) discussion, I will focus on issues involving “contrastivism”, as they arise in some of the recent philosophy of science, epistemology, and cognitive science literature surrounding Bayesian confirmation theory.
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  • Gigerenzer’s ‘external validity argument’ against the heuristics and biases program: an assessment.Andrea Polonioli - 2012 - Mind and Society 11 (2):133-148.
    Gigerenzer’s ‘external validity argument’ plays a pivotal role in his critique of the heuristics and biases research program (HB). The basic idea is that (a) the experimental contexts deployed by HB are not representative of the real environment and that (b) the differences between the setting and the real environment are causally relevant, because they result in different performances by the subjects. However, by considering Gigerenzer’s work on frequencies in probability judgments, this essay attempts to show that there are fatal (...)
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  • (1 other version)Commentary: Extensional Versus Intuitive Reasoning: The Conjunction Fallacy in Probability Judgment.Peter Lewinski - 2015 - Frontiers in Psychology 6.
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  • Comparative Probability, Comparative Confirmation, and the “Conjunction Fallacy”.Branden Fitelson - unknown
    In the first edition of LFP, Carnap [2] undertakes a precise probabilistic explication of the concept of confirmation. This is where modern confirmation theory was born (in sin). Carnap was interested mainly in quantitative confirmation (which he took to be fundamental). But, he also gave (derivative) qualitative and comparative explications: • Qualitative. E inductively supports H. • Comparative. E supports H more strongly than E supports H . • Quantitative. E inductively supports H to degree r . Carnap begins by (...)
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  • The conjunction fallacy: a misunderstanding about conjunction?Daniel Osherson - 2004 - Cognitive Science 28 (3):467-477.
    It is easy to construct pairs of sentences X, Y that lead many people to ascribe higher probability to the conjunction X-and-Y than to the conjuncts X, Y. Whether an error is thereby committed depends on reasoners’ interpretation of the expressions “probability” and “and.” We report two experiments designed to clarify the normative status of typical responses to conjunction problems. © 2004 Cognitive Science Society, Inc. All rights reserved.
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  • Testing boundary conditions for the conjunction fallacy: Effects of response mode, conceptual focus, and problem type.Douglas H. Wedell & Rodrigo Moro - 2008 - Cognition 107 (1):105-136.
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  • Surprisingly rational: Probability theory plus noise explains biases in judgment.Fintan Costello & Paul Watts - 2014 - Psychological Review 121 (3):463-480.
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  • Individual differences in competent consumer choice: the role of cognitive reflection and numeracy skills.Michele Graffeo, Luca Polonio & Nicolao Bonini - 2015 - Frontiers in Psychology 6.
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