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形式化社会表征以解释精神症状。

Formalising social representation to explain psychiatric symptoms.

机构信息

Social Computation and Cognitive Representation Lab, Department of Psychology, Royal Holloway, University of London, Egham TW20 0EX, UK.

Max Planck Institute for Biological Cybernetics, Tübingen, 72076, Germany; University of Tübingen, Tübingen, 72074, Germany.

出版信息

Trends Cogn Sci. 2023 Mar;27(3):317-332. doi: 10.1016/j.tics.2022.12.004. Epub 2023 Jan 4.

Abstract

Recent work in social cognition has moved beyond a focus on how people process social rewards to examine how healthy people represent other agents and how this is altered in psychiatric disorders. However, formal modelling of social representation has not kept pace with these changes, impeding our understanding of how core aspects of social cognition function, and fail, in psychopathology. Here, we suggest that belief-based computational models provide a basis for an integrated sociocognitive approach to psychiatry, with the potential to address important but unexamined pathologies of social representation, such as maladaptive schemas and illusory social agents.

摘要

最近的社会认知研究已经超越了关注人们如何处理社会奖励的范畴,转而研究健康人如何代表其他主体,以及这种代表在精神障碍中是如何改变的。然而,社会代表的形式化建模并没有跟上这些变化,这阻碍了我们理解社会认知的核心方面在精神病理学中是如何运作和失败的。在这里,我们认为基于信念的计算模型为精神病学的综合社会认知方法提供了基础,有可能解决社会代表的重要但未被研究的病理学,如适应不良的图式和虚幻的社会主体。

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