Computational modeling of social decision-making.

Autor:	Vahed S; Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands. Electronic address: sarah.vahed@donders.ru.nl., Galván EP; Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands., Sanfey AG; Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands; Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands.
Jazyk:	angličtina
Zdroj:	Current opinion in psychology [Curr Opin Psychol] 2024 Dec; Vol. 60, pp. 101884. Date of Electronic Publication: 2024 Sep 04.
DOI:	10.1016/j.copsyc.2024.101884
Abstrakt:	Social decision-making is guided by a complex set of social norms. Computational modeling can play a significant role in enriching our understanding of these norms and how precisely they direct social choices. Here, we highlight three major advantages to using computational modeling, particularly models derived from Utility Theory, in the study of social norms. We illustrate how such models can help generate detailed processes of decision-making, enforce theoretical precision by delineating abstract concepts, and unpack when, and why, people adhere to specific social norms. For each benefit, we discuss a recent study which has employed modeling in the service of assessing the role of norms in decision-making, collectively revealing how computational modeling enables better prediction, description, and explanation of important social choices. Competing Interests: Declaration of competing interest None of the authors declares any conflicts of interest. (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze:	MEDLINE
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