Causal reasoning with mental models

被引:43
作者
Khemlani, Sangeet S. [1 ]
Barbey, Aron K. [2 ]
Johnson-Laird, Philip N. [3 ,4 ]
机构
[1] Naval Res Lab, Navy Ctr Appl Res Artificial Intelligence, Washington, DC 20375 USA
[2] Univ Illinoi Urbana Champaign, Beckman Inst Adv Sci & Technol, Urbana, IL USA
[3] Princeton Univ, Dept Psychol, Princeton, NJ 08544 USA
[4] NYU, Dept Psychol, New York, NY 10003 USA
基金
美国国家科学基金会;
关键词
causal reasoning; mental models; explanations; enabling conditions; lateral prefrontal cortex; PREFRONTAL CORTEX; UNIT-ACTIVITY; ARCHITECTURE; COVARIATION; INTELLIGENCE; ORGANIZATION; EXPLANATION; PERFORMANCE; MECHANISMS; NEGATION;
D O I
10.3389/fnhum.2014.00849
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
This paper outlines the model-based theory of causal reasoning. It postulates that the core meanings of causal assertions are deterministic and refer to temporally-ordered sets of possibilities: A causes B to occur means that given A, B occurs, whereas A enables B to occur means that given A, it is possible for B to occur. The paper shows how mental models represent such assertions, and how these models underlie deductive, inductive, and abductive reasoning yielding explanations. It reviews evidence both to corroborate the theory and to account for phenomena sometimes taken to be incompatible with it. Finally, it reviews neuroscience evidence indicating that mental models for causal inference are implemented within lateral prefrontal cortex.
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页数:15
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