Behavior Decision Model of Intelligent Agent Based on Artificial Emotion

被引：6
|
作者：
Wang Guojiang [1 ]
Wang Xiaoxiao [2 ]
Fu Kechang [1 ]
机构：
[1] Chengdu Univ Informat Technol, Sch Control Engn, Chengdu 610225, Peoples R China
[2] Beijing Univ Sci & Technol, Sch Informat & Engn, Beijing 100083, Peoples R China
来源：
2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 4 | 2010年
关键词：
Behavior Decision Model; Artificial Emotion; D-S Evidence Theory; Markov Decision Process;
D O I：
10.1109/ICACC.2010.5487217
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Emotion is now recognized as a central element of human behavior, and thus it should be embedded within the reasoning process when an intelligent agent or a robot aims to emulate human reactions. Therefore, current research in AI shows an increasing interest in artificial emotion for developing the human-like agent. Based on emotion psychology and artificial emotion, this paper presents a behavior decision model of intelligent agent, the model consists of emotions, motivations and behavior decision. The mapping relationship between exterior stimulates and emotion is built by D-S evidence theory. And the model applies the markov decision process to determine emotion states to behaviors. The model provides a valid method to the emotional agent modeling and affective decision system.
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页码：185 / 189
页数：5
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