Rationalization may improve predictability rather than accuracy.

Behav Brain Sci

Department of Cognitive Sciences, University of California, Irvine, CA92697-5100.

Published: April 2020

AI Article Synopsis

  • The authors challenge Cushman's idea that rationalization helps us form better beliefs from our non-rational behaviors, suggesting it can actually lead to less accurate beliefs.
  • They propose that rationalization sometimes promotes better decision-making by reducing accuracy in our beliefs.
  • The key benefit of rationalization is its role in making individuals more predictable and appealing as partners in social cooperation.

Article Abstract

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.

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Source
http://dx.doi.org/10.1017/S0140525X19002279DOI Listing

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