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  1. 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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  • 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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  • (1 other version)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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  • Inferring causal networks from observations and interventions.Mark Steyvers, Joshua B. Tenenbaum, Eric-Jan Wagenmakers & Ben Blum - 2003 - Cognitive Science 27 (3):453-489.
    Information about the structure of a causal system can come in the form of observational data—random samples of the system's autonomous behavior—or interventional data—samples conditioned on the particular values of one or more variables that have been experimentally manipulated. Here we study people's ability to infer causal structure from both observation and intervention, and to choose informative interventions on the basis of observational data. In three causal inference tasks, participants were to some degree capable of distinguishing between competing causal hypotheses (...)
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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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  • Confirmation, disconfirmation, and information in hypothesis testing.Joshua Klayman & Young-won Ha - 1987 - Psychological Review 94 (2):211-228.
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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 Cheng - 1997 - Psychological Review 104 (2):367-405.
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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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  • Human Inference: Strategies and Shortcomings of Social Judgment.Christopher Cherniak, Richard Nisbett & Lee Ross - 1983 - Philosophical Review 92 (3):462.
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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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  • 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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  • 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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  • 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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  • Psychology of Reasoning: Structure and Content.P. C. Wason & P. N. Johnson - 1974 - Philosophy and Rhetoric 7 (3):193-197.
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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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  • Learning strategies in amnesia.David R. Shanks - unknown
    Previous research suggests that early performance of amnesic individuals in a probabilistic category learning task is relatively unimpaired. When combined with impaired declarative knowledge, this is taken as evidence for the existence of separate implicit and explicit memory systems. The present study contains a more fine-grained analysis of learning than earlier studies. Using a dynamic lens model approach with plausible learning models, we found that the learning process is indeed indistinguishable between an amnesic and control group. However, in contrast to (...)
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