Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture

被引：37

作者：

Sun, Ron ^{[1
]}

Wilson, Nick ^{[1
]}

Lynch, Michael ^{[1
]}

机构：

[1] Rensselaer Polytech Inst, Dept Cognit Sci, 110 Eighth St,Carnegie 302A, Troy, NY 12180 USA

来源：

COGNITIVE COMPUTATION | 2016年 / 8卷 / 01期

关键词：

Emotion; Cognitive architecture; Psychology; Computational; IMPLICIT; MEMORY; MODEL; MOTIVATION; KNOWLEDGE; BEHAVIOR; EXPLICIT;

D O I：

10.1007/s12559-015-9374-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper reviews a project that attempts to interpret emotion, a complex and multifaceted phenomenon, from a mechanistic point of view, facilitated by an existing comprehensive computational cognitive architecture-CLARION. This cognitive architecture consists of a number of subsystems: the action-centered, non-action-centered, motivational, and metacognitive subsystems. From this perspective, emotion is, first and foremost, motivationally based. It is also action-oriented. It involves many other identifiable cognitive functionalities within these subsystems. Based on these functionalities, we fit the pieces together mechanistically (computationally) within the CLARION framework and capture a variety of important aspects of emotion as documented in the literature.

引用

页码：1 / 14

页数：14

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