Neurocomputational approaches to social behavior.
- Konovalov A Laboratory for Social and Neural Systems Research (SNS-Lab), Department of Economics, University of Zurich, Switzerland.
- Hu J Laboratory for Social and Neural Systems Research (SNS-Lab), Department of Economics, University of Zurich, Switzerland.
- Ruff CC Laboratory for Social and Neural Systems Research (SNS-Lab), Department of Economics, University of Zurich, Switzerland. Electronic address: christian.ruff@econ.uzh.ch.
- 2018-05-09
Published in:
- Current opinion in psychology. - 2018
Choice Behavior
Decision Making
Humans
Learning
Motivation
Neurons
Prefrontal Cortex
Social Behavior
English
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.
- Language
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- English
- Open access status
- green
- Identifiers
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- DOI 10.1016/j.copsyc.2018.04.009
- PMID 29738891
- Persistent URL
- https://folia.unifr.ch/global/documents/3647
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