详细信息
读心的预测模型:从社会感知到多层次社会认知 被引量:1
Predictive Models of Mindreading:From Social Perception to Multi-layered Social Cognition
文献类型:期刊文献
中文题名:读心的预测模型:从社会感知到多层次社会认知
英文题名:Predictive Models of Mindreading:From Social Perception to Multi-layered Social Cognition
作者:徐天宇[1,2];周子愉[2];陈巍[2,3]
机构:[1]山东中医药大学健康学院,山东济南250000;[2]绍兴文理学院大脑、心智与教育研究中心,浙江绍兴312000;[3]绍兴文理学院心理学系,浙江绍兴312000
年份:2022
卷号:42
期号:6
起止页码:1
中文期刊名:绍兴文理学院学报
外文期刊名:Journal of Shaoxing University
收录:国家哲学社会科学学术期刊数据库
基金:国家社科基金重大项目“当代新兴增强技术前沿的人文主义哲学研究”(20ZD045)。
语种:中文
中文关键词:读心;预测加工;社会互动;社会感知
外文关键词:mindreading;predictive processing;social interaction;social perception
中文摘要:读心是对他人信念、意图、情绪和行为进行评估、解释和预测等的社会认知过程,是个体参与他人互动过程的桥梁。良好的社会认知能使个体做出合理的行为反应,减少社会交互过程中的误解,并有助于建立良好的人际关系。现今,预测加工被认为是认知科学领域的新范式,根据这一视角提出的预测加工模型为解释社会认知提供了一个崭新的思路。分别介绍Bach等和Tamir等提出的两个预测加工模型对读心机制的解释,进而比较两者从社会感知到多层次社会认知的演变轨迹。探讨这类模型理论在解释社会认知上面临的两个挑战:对社会认知的预测加工需要借助哪些信息;以及如何利用这些信息进行社会认知的预测。针对当前研究的不足提出展望。
外文摘要:Mindreading,a social cognitive process of evaluating,interpreting and predicting others’beliefs,intentions,emotions and behaviors,is a bridge for individuals to participate in the process of interaction with others.Good social cognition can enable individuals to make reasonable behavioral responses,reduce misunderstandings in social interaction,and help establish good interpersonal relationships.Predictive processing is currently considered to be a new paradigm in cognitive science.The predictive processing model proposed from this perspective provides a new way to explain social cognition.Firstly,this review introduces the two predictive processing models proposed by Bach and Tamir respectively to explain the mindreading mechanism,and then compares the evolution of the two models from social perception to multi-layered social cognition.Secondly,the present paper discusses the two challenges faced by such model theories in explaining social cognition:what information is needed to predict social cognition?How can we use this information to make predictions about social cognition?Finally,some suggestions and prospects are put forward to handle the deficiencies of the current research.
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