ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2020, Vol. 28 ›› Issue (7): 1042-1055.doi: 10.3724/SP.J.1042.2020.01042

• 研究方法 • 上一篇    下一篇

计算模型在道德认知研究中的应用

张银花, 李红, 吴寅()   

  1. 深圳大学师范学院心理学院; 深圳市情绪与社会认知科学重点实验室, 深圳 518060
  • 收稿日期:2019-04-22 出版日期:2020-07-15 发布日期:2020-05-21
  • 通讯作者: 吴寅 E-mail:yinwu0407@gmail.com
  • 基金资助:
    * 国家自然科学基金(31872784);国家自然科学基金(31600923);广东省教育厅教育科学规划青年项目(2018GXJK150);深圳大学新教师科研启动项目

The application of computational modelling in the studies of moral cognition

ZHANG Yinhua, LI Hong, WU Yin()   

  1. Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen 518060, China
  • Received:2019-04-22 Online:2020-07-15 Published:2020-05-21
  • Contact: Yin WU E-mail:yinwu0407@gmail.com

摘要:

道德认知关注道德心理背后的信息加工。近年来, 研究者开始将计算模型应用于道德认知研究, 以探索道德认知如何在大脑中实现。但目前研究者对道德认知进行计算建模的研究处于起步阶段。计算模型(漂移扩散模型、效用模型、强化学习模型和分层高斯过筛器模型)在道德认知行为和生理研究上的运用量化了道德决策、道德判断和道德推理背后的认知过程和神经机制。此外, 这一新进展对理解反社会行为和精神障碍等有所助益。最后, 计算建模有待完善, 未来研究需要关注其潜在的问题。

关键词: 道德认知, 计算模型, 道德决策, 道德判断, 道德推理

Abstract:

Moral cognition focuses on the processing of information underlying the moral behavior. Recently, researchers have begun to apply computational modelling to moral cognition as to explore how moral cognition is represented in the brain. However, the research on the computational modeling of moral cognition is still at its infancy. The application of computational modelling (the Drift Diffusion Models, Utility Models, Reinforcement Learning Models and Hierarchical Gaussian Filter) in the behavioral and physiological studies of moral cognition quantified the cognitive processes and neural mechanisms underlying moral decision-making, moral judgment, and moral inference. In addition, this new approach could help to understand antisocial behavior and mental disorders. Finally, the computational modeling needs to be improved and future research need to pay attention to the potential limitations.

Key words: moral cognition, computational modelling, moral decision, moral judgment, moral inference

中图分类号: