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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Neurocomputational approaches to social behavior
Organization Unit
Authors
  • Arkady Konovalov
  • Jie Hu
  • Christian Ruff
Item Subtype Original Work
Refereed Yes
Status Published in final form
Journal Title Current Opinion in Psychology
Publisher Elsevier
Geographical Reach international
ISSN 2352-250X
Volume 24
Page Range 41 - 47
Date 2018
Abstract Text Social decision-making is increasingly studied with neurocomputational modeling. Here we discuss how this approach allows researchers to better understand and predict behavior in social settings. Using examples from the study of resource distributions and social learning, we illustrate how this methodology provides a flexible way to quantify social values and beliefs, identify specific motives and cognitive processes underlying social choice and learning, and arbitrate between competing theories of social behavior. We also critically discuss open questions and potential problems associated with this methodology.
Official URL https://www.sciencedirect.com/science/article/pii/S2352250X17302798?via%3Dihub
Digital Object Identifier 10.1016/j.copsyc.2018.04.009
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