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Uncertain deduction and conditional reasoning.

Evans, J. St. B. T. and Thompson, V. A. and Over, D. E. (2015) 'Uncertain deduction and conditional reasoning.', Frontiers in psychology., 6 . p. 398.

Abstract

There has been a paradigm shift in the psychology of deductive reasoning. Many researchers no longer think it is appropriate to ask people to assume premises and decide what necessarily follows, with the results evaluated by binary extensional logic. Most every day and scientific inference is made from more or less confidently held beliefs and not assumptions, and the relevant normative standard is Bayesian probability theory. We argue that the study of “uncertain deduction” should directly ask people to assign probabilities to both premises and conclusions, and report an experiment using this method. We assess this reasoning by two Bayesian metrics: probabilistic validity and coherence according to probability theory. On both measures, participants perform above chance in conditional reasoning, but they do much better when statements are grouped as inferences, rather than evaluated in separate tasks.

Item Type:Article
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Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.3389/fpsyg.2015.00398
Publisher statement:Copyright © 2015 Evans, Thompson and Over. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Record Created:24 May 2016 13:05
Last Modified:24 May 2016 13:36

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