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Cited by 676

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Social Decision-Making: Insights from Game Theory and Neuroscience

Sanfey, Alan G.·2007·Science

Abstract

By combining the models and tasks of Game Theory with modern psychological and neuroscientific methods, the neuroeconomic approach to the study of social decision-making has the potential to extend our knowledge of brain mechanisms involved in social decisions and to advance theoretical models of how we make decisions in a rich, interactive environment. Research has already begun to illustrate how social exchange can act directly on the brain's reward system, how affective factors play an important role in bargaining and competitive games, and how the ability to assess another's intentions is related to strategic play. These findings provide a fruitful starting point for improved models of social decision-making, informed by the formal mathematical approach of economics and constrained by known neural mechanisms.

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Metadata

Authors
Sanfey, A. G.
Venue
Science
Published
2007-10-26
Volume
318
Issue
5850
Pages
598-602
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2101091849
Cited by
676
References
18
FWCI
73.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Social Decision-Making: Insights from Game Theory and Neuroscience. https://app.cochat.ai/papers/10.1126/science.1142996
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Sanfey, A. G. (2007). Social Decision-Making: Insights from Game Theory and Neuroscience. Science. https://doi.org/10.1126/science.1142996

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.