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Computational modeling of social decision-making.

Sarah Vahed1, Elijah P Galván1, Alan G Sanfey2

  • 1Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands.

Current Opinion in Psychology
|September 15, 2024
PubMed
Summary

Computational modeling, especially Utility Theory, enhances understanding of social norms and decision-making. It details processes, clarifies concepts, and explains adherence to social norms.

Keywords:
Computational ModelingSocial decision-makingSocial normsUtility models

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Area of Science:

  • Social psychology
  • Cognitive science
  • Computational social science

Background:

  • Social decision-making is influenced by intricate social norms.
  • Understanding these norms and their impact on choices is crucial.

Purpose of the Study:

  • To highlight the advantages of computational modeling in studying social norms.
  • To demonstrate how models, particularly from Utility Theory, can elucidate norm-guided decision-making.

Main Methods:

  • Utilizing computational modeling, specifically frameworks derived from Utility Theory.
  • Analyzing recent studies that apply these models to assess the role of norms in decision-making.

Main Results:

  • Computational models offer detailed insights into decision-making processes.
  • Models enhance theoretical precision by defining abstract social concepts.
  • Modeling helps explain the conditions and reasons for adherence to social norms.

Conclusions:

  • Computational modeling provides a powerful framework for understanding social norms.
  • These models improve the prediction, description, and explanation of social choices.
  • Utility Theory-based models are particularly effective in this domain.