社会神经科学
认知科学
社会认知
社会决策
神经经济学
计算模型
心理学
强化学习
心理化
心理理论
计算机科学
计算神经科学
认知
运动认知
心理学理论
认知神经科学
神经科学
发展认知神经科学
认知心理学
人工智能
社会心理学
作者
Jin Hyun Cheong,Eshin Jolly,Sunhae Sul,Luke J. Chang
标识
DOI:10.1002/9781119159193.ch17
摘要
A growing trend in social neuroscience is the use of computational models to describe the psychological and neural processes underlying social cognition and behavior. Borrowing frameworks from expected utility theory, reinforcement learning, and game theory, this technique of formalizing psychological concepts has provided insights into how complex psychological computations such as social learning and mentalizing are processed in the brain. In this article, we highlight these findings and provide suggestions, while advocating greater use of computational methods in social neuroscience research.
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