Literature DB >> 7924197

When explanations compete: the role of explanatory coherence on judgements of likelihood.

S A Sloman1.   

Abstract

The likelihood of a statement is often derived by generating an explanation for it and evaluating the plausibility of the explanation. The explanation discounting principle states that people tend to focus on a single explanation; alternative explanations compete with the effect of reducing one another's credibility. Two experiments tested the hypothesis that this principle applies to inductive inferences concerning the properties of everyday categories. In both experiments, subjects estimated the probability of a series of statements (conclusions) and the conditional probabilities of those conclusions given other related facts. For example, given that most lawyers make good sales people, what is the probability that most psychologists make good sales people? The results showed that when the fact and the conclusion had the same explanation the fact increased people's willingness to believe the conclusion, but when they had different explanations the fact decreased the conclusion's credibility. This decrease is attributed to explanation discounting; the explanation for the fact had the effect of reducing the plausibility of the explanation for the conclusion.

Entities:  

Mesh:

Year:  1994        PMID: 7924197     DOI: 10.1016/0010-0277(94)90002-7

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  9 in total

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2.  A relevance theory of induction.

Authors:  Douglas L Medin; John D Coley; Gert Storms; Brett K Hayes
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3.  When similarity and causality compete in category-based property generalization.

Authors:  Bob Rehder
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4.  Background shifts affect explanatory style: how a pragmatic theory of explanation accounts for background effects in the generation of explanations.

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Journal:  Cogn Process       Date:  2009-10-27

5.  Inconsistency with prior knowledge triggers children's causal explanatory reasoning.

Authors:  Cristine H Legare; Susan A Gelman; Henry M Wellman
Journal:  Child Dev       Date:  2010 May-Jun

6.  Causal Networks or Causal Islands? The Representation of Mechanisms and the Transitivity of Causal Judgment.

Authors:  Samuel G B Johnson; Woo-kyoung Ahn
Journal:  Cogn Sci       Date:  2015-01-03

7.  The use of category and similarity information in limiting hypotheses.

Authors:  Alexandra Kincannon; Barbara A Spellman
Journal:  Mem Cognit       Date:  2003-01

Review 8.  Motivated explanation.

Authors:  Richard Patterson; Joachim T Operskalski; Aron K Barbey
Journal:  Front Hum Neurosci       Date:  2015-10-16       Impact factor: 3.169

9.  Explanation and inference: mechanistic and functional explanations guide property generalization.

Authors:  Tania Lombrozo; Nicholas Z Gwynne
Journal:  Front Hum Neurosci       Date:  2014-09-11       Impact factor: 3.169

  9 in total

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