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在心智理论的贝叶斯模型中形式化情绪概念。

Formalizing emotion concepts within a Bayesian model of theory of mind.

机构信息

Department of Brain and Cognitive Sciences, 43 Vassar St, MIT, Cambridge, MA 02139, USA.

Department of Brain and Cognitive Sciences, 43 Vassar St, MIT, Cambridge, MA 02139, USA.

出版信息

Curr Opin Psychol. 2017 Oct;17:15-21. doi: 10.1016/j.copsyc.2017.04.019. Epub 2017 Apr 27.

DOI:10.1016/j.copsyc.2017.04.019
PMID:28950962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5637274/
Abstract

Sensitivity to others' emotions is foundational for many aspects of human life, yet computational models do not currently approach the sensitivity and specificity of human emotion knowledge. Perception of isolated physical expressions largely supplies ambiguous, low-dimensional, and noisy information about others' emotional states. By contrast, observers attribute specific granular emotions to another person based on inferences of how she interprets (or 'appraises') external events in relation to her other mental states (goals, beliefs, moral values, costs). These attributions share neural mechanisms with other reasoning about minds. Situating emotion concepts in a formal model of people's intuitive theories about other minds is necessary to effectively capture humans' fine-grained emotion understanding.

摘要

对他人情绪的敏感性是人类生活许多方面的基础,但计算模型目前还无法达到人类情感知识的敏感性和特异性。对孤立的身体表情的感知在很大程度上提供了关于他人情绪状态的模糊、低维且嘈杂的信息。相比之下,观察者会根据她如何将(或“评价”)外部事件与她的其他心理状态(目标、信念、道德价值观、成本)联系起来,来对另一个人赋予特定的细微情绪。这些归因与对他人心灵的其他推理具有相同的神经机制。将情绪概念置于人们关于他人心灵的直观理论的形式模型中,对于有效捕捉人类细微的情绪理解是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af9/5637274/b0be8bdbdce7/nihms874988f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af9/5637274/a3c18fcd06e3/nihms874988f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af9/5637274/b0be8bdbdce7/nihms874988f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af9/5637274/a3c18fcd06e3/nihms874988f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af9/5637274/b0be8bdbdce7/nihms874988f2.jpg

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