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Rationalization may improve predictability rather than accuracy

delete2020-04-15
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OA
AI
P
P. Kyle Stanford *
A
Ashley J Thomas
B
Barbara W. Sarnecka
DOI:10.1017/S0140525X19002279delete
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Abstract

Abstract

En 中文
We present a theoretical and an empirical challenge to Cushman's claim that rationalization is adaptive because it allows humans to extract more accurate beliefs from our non-rational motivations for behavior. Rationalization sometimes generates more adaptive decisions by making our beliefs about the world less accurate. We suggest that the most important adaptive advantage of rationalization is instead that it increases our predictability (and therefore attractiveness) as potential partners in cooperative social interactions.

Journal

Behavioral and Brain Sciences cover
Behavioral and Brain Sciences
IF:
13.7
Papers:
1.6W
Citations:
1.2W

Organization

H
Harvard University
Scholars:
26.5W
Papers: 22.0W
Citations: 28.7W
University of California System cover
University of California System
Scholars:
37.7W
Papers: 33.8W
Citations: 6.6K
U
university of california irvine
Scholars:
2.3W
Papers: 1.7W
Citations: 55
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Cited Papers

Cited Papers

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