Evaluating explanations in law, science, and everyday life

被引：31

作者：

Thagard, Paul ^{[1
]}

机构：

[1] Univ Waterloo, Dept Philosophy, Waterloo, ON N2L 3G1, Canada

来源：

CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE | 2006年 / 15卷 / 03期

基金：

加拿大自然科学与工程研究理事会;

关键词：

explanation; coherence; neural networks; legal reasoning; emotion;

D O I：

10.1111/j.0963-7214.2006.00424.x

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

This article reviews a theory of explanatory coherence that provides a psychologically plausible account of how people evaluate competing explanations. The theory is implemented in a computational model that uses simple artificial neural networks to simulate many important cases of scientific and legal reasoning. Current research directions include extensions to emotional thinking and implementation in more biologically realistic neural networks.

引用

页码：141 / 145

页数：5

共 16 条

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Eliasmith C, 2003, NEURAL ENG COMPUTATI

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