Category-based updating

被引：3

作者：

Zhao, Jiaying ^{[1
]}

Osherson, Daniel ^{[1
]}

机构：

[1] Princeton Univ, Dept Psychol, Princeton, NJ 08540 USA

来源：

THINKING & REASONING | 2014年 / 20卷 / 01期

关键词：

Belief updating; Category; Reasoning; Probability; PROBABILITY JUDGMENT; JEFFREYS RULE; HYPOTHESIS; REVISION; BELIEFS;

D O I：

10.1080/13546783.2013.795916

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

Given a prior distribution over a finite outcome space, how is the distribution updated when one outcome is excluded (i.e., assigned probability 0)? We describe two experiments in which estimated probabilities seem to stick to salient events. The probabilities of such events remain relatively invariant through updating. Our results suggest that the credence assigned to a salient category is sometimes more basic than the credence assigned to the constituents that comprise the category.

引用

页码：1 / 15

页数：15

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