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  1. Psychology of Reasoning: Structure and Content.Peter Cathcart Wason & Philip Nicholas Johnson-Laird - 1972 - Cambridge, MA, USA: Harvard University Press.
    'Is there any other point to which you would wish to draw my attention?' 'To the curious incident of the dog in the night-time.' 'The dog did nothing in the night-time.' 'That was the curious incident, ' remarked Sherlock Holmes. The quotation from A. Conan Doyle with which this book begins, is a delightfully appropriate summation of the authors' point of view garnered from their fifteen years of experiments on the psychology of reasoning. Dr. Wason and Dr. Johnson-Laird are intrigued (...)
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  • Bias in Human Reasoning: Causes and Consequences.Jonathan St B. T. Evans (ed.) - 1990 - Psychology Press.
    This book represents the first major attempt by any author to provide an integrated account of the evidence for bias in human reasoning across a wide range of disparate psychological literatures. The topics discussed involve both deductive and inductive reasoning as well as statistical judgement and inference. In addition, the author proposes a general theoretical approach to the explanations of bias and considers the practical implications for real world decision making. The theoretical stance of the book is based on a (...)
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  • A note on measurement of contingency between two binary variables in judgment tasks.Lorraine G. Allan - 1980 - Bulletin of the Psychonomic Society 15 (3):147-149.
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  • Human Inference: Strategies and Shortcomings of Social Judgment.Richard E. Nisbett & Lee Ross - 1980 - Englewood Cliffs, NJ, USA: Prentice-Hall.
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  • Genesis of Popular But Erroneous Psychodiagnostic Observations.Loren Chapman & Jean Chapman - 1967 - Journal of Abnormal Psychology 72 (3):193-204.
    REPORTS 6 STUDIES USING LABORATORY REPLICAS OF THE SITUATION IN WHICH A BEGINNING CLINICIAN OBSERVES THE DIAGNOSTIC TEST PROTOCOLS OF PATIENTS WITH VARIOUS SYMPTOMS IN ORDER TO DISCOVER THE CHARACTERISTICS OF TEST PERFORMANCE THAT DISTINGUISH PATIENTS WITH EACH SYMPTOM. NAIVE UNDERGRADUATES VIEWED A SERIES OF 45 DRAW-A-PERSON TEST DRAWINGS RANDOMLY PAIRED WITH CONTRIVED SYMPTOM STATEMENTS ABOUT THE PATIENTS WHO DREW THEM. SS "REDISCOVERED" THE SAME RELATIONSHIPS BETWEEN DRAWING CHARACTERISTICS AND SYMPTOMS AS CLINICIANS REPORT OBSERVING IN CLINICAL PRACTICE, ALTHOUGH THESE RELATIONSHIPS (...)
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  • Learning from doing: Intervention and causal inference.Laura Schulz, Tamar Kushnir & Alison Gopnik - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal learning: psychology, philosophy, and computation. New York: Oxford University Press. pp. 67--85.
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  • Theory-based causal induction.Thomas L. Griffiths & Joshua B. Tenenbaum - 2009 - Psychological Review 116 (4):661-716.
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  • From covariation to causation: A causal power theory.Patricia W. Cheng - 1997 - Psychological Review 104 (2):367-405.
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  • Theory-based Bayesian models of inductive learning and reasoning.Joshua B. Tenenbaum, Thomas L. Griffiths & Charles Kemp - 2006 - Trends in Cognitive Sciences 10 (7):309-318.
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  • Confirmation, disconfirmation, and information in hypothesis testing.Joshua Klayman & Young-won Ha - 1987 - Psychological Review 94 (2):211-228.
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  • Psychology of Reasoning: Structure and Content.P. C. Wason & P. N. Johnson - 1974 - Philosophy and Rhetoric 7 (3):193-197.
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  • Intuitive theories as grammars for causal inference.Joshua B. Tenenbaum, Thomas L. Griffiths & Sourabh Niyogi - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal learning: psychology, philosophy, and computation. New York: Oxford University Press. pp. 301--322.
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  • Inferring causal networks from observations and interventions.Mark Steyvers, Joshua B. Tenenbaum, Eric-Jan Wagenmakers & Ben Blum - 2003 - Cognitive Science 27 (3):453-489.
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  • Human Inference: Strategies and Shortcomings of Social Judgment.Christopher Cherniak, Richard Nisbett & Lee Ross - 1983 - Philosophical Review 92 (3):462.
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  • Assessment of covariation by humans and animals: The joint influence of prior expectations and current situational information.Lauren B. Alloy & Naomi Tabachnik - 1984 - Psychological Review 91 (1):112-149.
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  • Estimating causal strength: the role of structural knowledge and processing effort.Michael R. Waldmann & York Hagmayer - 2001 - Cognition 82 (1):27-58.
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  • Beyond covariation.David A. Lagnado, Michael R. Waldmann, York Hagmayer & Steven A. Sloman - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal learning: psychology, philosophy, and computation. New York: Oxford University Press.
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