What is an Emotion? A Connectionist Perspective

被引:11
作者
Suri, Gaurav [1 ,2 ]
Gross, James J. [1 ,2 ]
机构
[1] San Francisco State Univ, Dept Psychol, San Francisco, CA 94132 USA
[2] Stanford Univ, Dept Psychol, Stanford, CA USA
关键词
computational models; emotion theories; parallel distributed processing; neural networks; INTERACTIVE ACTIVATION; BASIC EMOTIONS; CORE AFFECT; APPRAISAL; EXPERIENCE; MODEL; CATEGORIZATION; PERCEPTION; COGNITION; FEAR;
D O I
10.1177/17540739221082203
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Researchers often disagree as to whether emotions are largely consistent across people and over time, or whether they are variable. They also disagree as to whether emotions are initiated by appraisals, or whether they may be initiated in diverse ways. We draw upon Parallel-Distributed-Processing to offer an algorithmic account in which features of an emotion instance are bi-directionally connected to each other via conjunction units. We propose that such indirect connections may be innate as well as learned. These ideas lead to the development of the Interactive Activation and Competition framework for Emotion (IAC-E) which allows us to specify when emotions are consistent and when they are variable, as well as when they are appraisal-led and when they are input-agnostic.
引用
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页码:99 / 110
页数:12
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