A Computational Logic Approach to the Belief Bias in Human Syllogistic Reasoning

被引:2
作者
Dietz, Emmanuelle-Anna [1 ]
机构
[1] Tech Univ Dresden, Int Ctr Computat Log, Dresden, Germany
来源
MODELING AND USING CONTEXT (CONTEXT 2017) | 2017年 / 10257卷
关键词
D O I
10.1007/978-3-319-57837-8_55
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Psychological experiments on syllogistic reasoning have shown that participants did not always deduce the classical logically valid conclusions. In particular, the results show that they had difficulties to reason with syllogistic statements that contradicted their own beliefs. We consider a syllogistic reasoning task carried out by Evans, Barston and Pollard, who investigated the belief-bias effect with respect to syllogisms. We propose a formalization of the belief-bias effect for human syllogistic reasoning under the Weak Completion Semantics, a logic programming approach that aims at adequately modeling human reasoning.
引用
收藏
页码:691 / 707
页数:17
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