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Research article summary (published 30 Jan 2009):

Précis of bayesian rationality: The probabilistic approach to human reasoning.

Full Abstract

According to Aristotle, humans are the rational animal. The borderline between rationality and irrationality is fundamental to many aspects of human life including the law, mental health, and language interpretation. But what is it to be rational? One answer, deeply embedded in the Western intellectual tradition since ancient Greece, is that rationality concerns reasoning according to the rules of logic--the formal theory that specifies the inferential connections that hold with certainty between propositions. Piaget viewed logical reasoning as defining the end-point of cognitive development; and contemporary psychology of reasoning has focussed on comparing human reasoning against logical standards. Bayesian Rationality argues that rationality is defined instead by the ability to reason about uncertainty. Although people are typically poor at numerical reasoning about probability, human thought is sensitive to subtle patterns of qualitative Bayesian, probabilistic reasoning. In Chapters 1-4 of Bayesian Rationality (Oaksford & Chater 2007), the case is made that cognition in general, and human everyday reasoning in particular, is best viewed as solving probabilistic, rather than logical, inference problems. In Chapters 5-7 the psychology of "deductive" reasoning is tackled head-on: It is argued that purportedly "logical" reasoning problems, revealing apparently irrational behaviour, are better understood from a probabilistic point of view. Data from conditional reasoning, Wason's selection task, and syllogistic inference are captured by recasting these problems probabilistically. The probabilistic approach makes a variety of novel predictions which have been experimentally confirmed. The book considers the implications of this work, and the wider "probabilistic turn" in cognitive science and artificial intelligence, for understanding human rationality.

 

Author information

Author/s: Oaksford, Mike (M); Chater, Nick (N);

Affiliation: School of Psychology, Birkbeck College London, London, United Kingdom m.oaksford(-atsign-)bbk.ac.uk

Journal and publication information

Publication Type: Journal Article

Journal: The Behavioral and brain sciences (Behav Brain Sci), published in England. (Language: eng)

Reference: 2009-Feb; vol 32 (issue 1) : pp 69-84; discussion 85-120

Dates: Created 2009/02/12; Completed 2009/03/23;

PMID: 19210833, status: MEDLINE (last retrieval date: 3/23/2009, IMS Date: 23 Mar 2009 00:00:00)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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