An Adaptive Affective Social Decision Making Model

被引：0

作者：

Sharpanskykh, Alexei ^{[1
]}

Treur, Jan ^{[1
]}

机构：

[1] Vrije Univ Amsterdam, Agent Syst Res Grp, NL-1081 HV Amsterdam, Netherlands

来源：

BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2012 | 2013年 / 196卷

关键词：

PREFRONTAL CORTEX; AMYGDALA; EMOTION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Social decision making under stressful circumstances may involve strong emotions and contagion from others, and requires adequate prediction and valuation capabilities. In this paper based on principles from Neuroscience an adaptive agent-based computational model is proposed to address these aspects in an integrative manner. Using this model adaptive decision making of an agent in an emergency evacuation scenario is explored. By simulation computational learning mechanisms are identified required for effective decision making of agents.

引用

页码：299 / 308

页数：10

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