Facts and Possibilities: A Model-Based Theory of Sentential Reasoning

被引:90
作者
Khemlani, Sangeet S. [1 ]
Byrne, Ruth M. J. [2 ,3 ]
Johnson-Laird, Philip N. [4 ,5 ]
机构
[1] US Naval Res Lab, Navy Ctr Appl Res Artificial Intelligence, Washington, DC USA
[2] Univ Dublin, Trinity Coll Dublin, Sch Psychol, Dublin, Ireland
[3] Univ Dublin, Trinity Coll Dublin, Inst Neurosci, Dublin, Ireland
[4] Princeton Univ, Dept Psychol, Princeton, NJ 08544 USA
[5] NYU, Dept Psychol, New York, NY 10003 USA
关键词
Deduction; Logic; Mental models; Nonmonotonicity; Reasoning; Possibility; SEMANTIC INTERPRETATION; ILLUSORY INFERENCES; NAIVE PROBABILITY; PSYCHOLOGY; CONDITIONALS; AMPHIGORY; TRUTH; LOGIC;
D O I
10.1111/cogs.12634
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This article presents a fundamental advance in the theory of mental models as an explanation of reasoning about facts, possibilities, and probabilities. It postulates that the meanings of compound assertions, such as conditionals (if) and disjunctions (or), unlike those in logic, refer to conjunctions of epistemic possibilities that hold in default of information to the contrary. Various factors such as general knowledge can modulate these interpretations. New information can always override sentential inferences; that is, reasoning in daily life is defeasible (or nonmonotonic). The theory is a dual process one: It distinguishes between intuitive inferences (based on system 1) and deliberative inferences (based on system 2). The article describes a computer implementation of the theory, including its two systems of reasoning, and it shows how the program simulates crucial predictions that evidence corroborates. It concludes with a discussion of how the theory contrasts with those based on logic or on probabilities.
引用
收藏
页码:1887 / 1924
页数:38
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