Illusions in Reasoning

被引:0
作者
Sangeet S. Khemlani
P. N. Johnson-Laird
机构
[1] Navy Center for Applied Research in Artificial Intelligence,Naval Research Laboratory
[2] Princeton University,Naval Research Laboratory
[3] New York University,Department of Psychology
来源
Minds and Machines | 2017年 / 27卷
关键词
Illusory inferences; Mental models; Deduction; Rationality;
D O I
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中图分类号
学科分类号
摘要
Some philosophers argue that the principles of human reasoning are impeccable, and that mistakes are no more than momentary lapses in “information processing”. This article makes a case to the contrary. It shows that human reasoners commit systematic fallacies. The theory of mental models predicts these errors. It postulates that individuals construct mental models of the possibilities to which the premises of an inference refer. But, their models usually represent what is true in a possibility, not what is false. This procedure reduces the load on working memory, and for the most part it yields valid inferences. However, as a computer program implementing the theory revealed, it leads to fallacious conclusions for certain inferences—those for which it is crucial to represent what is false in a possibility. Experiments demonstrate the variety of these fallacies and contrast them with control problems, which reasoners tend to get right. The fallacies can be compelling illusions, and they occur in reasoning based on sentential connectives such as “if” and “or”, quantifiers such as “all the artists” and “some of the artists”, on deontic relations such as “permitted” and “obligated”, and causal relations such as “causes” and “allows”. After we have reviewed the principal results, we consider the potential for alternative accounts to explain these illusory inferences. And we show how the illusions illuminate the nature of human rationality.
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页码:11 / 35
页数:24
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