Psychological Review 103 (2):356-363 (1996)
Abstract |
M. Oaksford and N. Chater presented a Bayesian analysis of the Wason selection task in which they proposed that people choose cards in order to maximize expected information gain as measured by reduction in uncertainty in the Shannon-Weaver information theory sense. It is argued that the EIG measure is both psychologically implausible and normatively inadequate as a measure of epistemic utility. The article is also concerned with the descriptive account of findings in the selection task literature offered by Oaksford and Chater. First, it is shown that their analysis data reported in the recent article of K. N. Kirby is unsound; second, an EIG analysis is presented of the experiments of P. Pollard and J. St. B. T. Evans that provides a strong empirical disconfirmation of the theory
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Keywords | *Hypothesis Testing *Reasoning Statistical Probability |
Categories | (categorize this paper) |
DOI | 10.1037/0033-295X.103.2.356 |
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Citations of this work BETA
Précis of Bayesian Rationality: The Probabilistic Approach to Human Reasoning.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):69-84.
Philosophical Thought Experiments, Intuitions, and Cognitive Equilibrium.Tamar Szabó Gendler - 2007 - In Peter A. French & Howard K. Wettstein (eds.), Philosophy and the Empirical. Blackwell. pp. 68-89.
Generalized Information Theory Meets Human Cognition: Introducing a Unified Framework to Model Uncertainty and Information Search.Vincenzo Crupi, Jonathan D. Nelson, Björn Meder, Gustavo Cevolani & Katya Tentori - 2018 - Cognitive Science 42 (5):1410-1456.
A Ranking‐Theoretic Approach to Conditionals.Wolfgang Spohn - 2013 - Cognitive Science 37 (6):1074-1106.
Ten Years of the Rational Analysis of Cognition.Nick Chater & Mike Oaksford - 1999 - Trends in Cognitive Sciences 3 (2):57-65.
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