Literature DB >> 11477004

The probabilistic approach to human reasoning.

M Oaksford1, N Chater.   

Abstract

A recent development in the cognitive science of reasoning has been the emergence of a probabilistic approach to the behaviour observed on ostensibly logical tasks. According to this approach the errors and biases documented on these tasks occur because people import their everyday uncertain reasoning strategies into the laboratory. Consequently participants' apparently irrational behaviour is the result of comparing it with an inappropriate logical standard. In this article, we contrast the probabilistic approach with other approaches to explaining rationality, and then show how it has been applied to three main areas of logical reasoning: conditional inference, Wason's selection task and syllogistic reasoning.

Entities:  

Year:  2001        PMID: 11477004     DOI: 10.1016/s1364-6613(00)01699-5

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  25 in total

1.  Relative informativeness of quantifiers used in syllogistic reasoning.

Authors:  Mike Oaksford; Lisa Roberts; Nick Chater
Journal:  Mem Cognit       Date:  2002-01

2.  Inference suppression and semantic memory retrieval: every counterexample counts.

Authors:  Wim De Neys; Walter Schaeken; Géry d'Ydewalle
Journal:  Mem Cognit       Date:  2003-06

3.  Data selection and natural sampling: probabilities do matter.

Authors:  Mike Oaksford; Michelle Wakefield
Journal:  Mem Cognit       Date:  2003-01

4.  Logical reasoning and probabilities: a comprehensive test of Oaksford And Chater (2001).

Authors:  Klaus Oberauer; Andrea Weidenfeld; Robin Hörnig
Journal:  Psychon Bull Rev       Date:  2004-06

5.  Reasoning with conditionals: does every counterexample count? It's frequency that counts.

Authors:  Sonja M Geiger; Klaus Oberauer
Journal:  Mem Cognit       Date:  2007-12

6.  Disjunctive illusory inferences and how to eliminate them.

Authors:  Sangeet Khemlani; P N Johnson-Laird
Journal:  Mem Cognit       Date:  2009-07

7.  Significance testing as perverse probabilistic reasoning.

Authors:  M Brandon Westover; Kenneth D Westover; Matt T Bianchi
Journal:  BMC Med       Date:  2011-02-28       Impact factor: 8.775

8.  Defeasible reasoning with legal conditionals.

Authors:  Lupita Estefania Gazzo Castañeda; Markus Knauff
Journal:  Mem Cognit       Date:  2016-04

9.  Is probability matching smart? Associations between probabilistic choices and cognitive ability.

Authors:  Keith E Stanovich
Journal:  Mem Cognit       Date:  2003-03

10.  Thinking about conditionals: a study of individual differences.

Authors:  Jonathan St B T Evans; Simon J Handley; Helen Nelzens; David E Over
Journal:  Mem Cognit       Date:  2007-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.