) 中国科学院心理研究所行为科学重点实验室, 北京 100101
中国科学院大学心理学系, 北京 100049
收稿日期:2020-04-18出版日期:2021-01-15发布日期:2020-11-23通讯作者:周媛E-mail:zhouyuan@psych.ac.cn基金资助:* 中国科学院心理研究所项目(E0CX163008)Psychological and neural mechanisms of trust formation: A perspective from computational modeling based on the decision of investor in the trust game
GAO Qinglin, ZHOU Yuan() Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
Received:2020-04-18Online:2021-01-15Published:2020-11-23Contact:ZHOU Yuan E-mail:zhouyuan@psych.ac.cn摘要/Abstract
摘要： 人际信任渗透在社会交互的各个方面, 是促进和维持合作的重要基石。以往研究者借助信任博弈范式, 主要探讨了人际信任的理论模型、生物基础和影响因素等方面。近年来, 研究者开始将计算模型应用于信任博弈的数据分析中, 深入挖掘人际信任行为背后的心理机制, 将计算模型与神经影像技术结合, 加深对信任行为背后脑机制的理解。目前将计算模型应用于信任博弈范式中的研究主要针对“信任是如何形成的”这一科学问题, 未来要进一步发展计算模型方法, 结合非侵入性脑刺激技术, 应用于精神疾病人群中, 以深入理解正常和异常信任形成的心理和神经机制。
图/表 3
图1重复信任博弈范式的示意图
图1重复信任博弈范式的示意图
图2强化学习模型框架图 资料来源：Fouragnan (2013)
图2强化学习模型框架图 资料来源：Fouragnan (2013)
图3贝叶斯模型框架图 资料来源：Friston et al., 2013
图3贝叶斯模型框架图 资料来源：Friston et al., 2013参考文献 78
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