Behavior Decision Model of Intelligent Agent Based on Artificial Emotion
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.
Behavior Decision Model Artificial Emotion D-S Evidence Theory Markov Decision Process
Wang Guojiang Wang Xiaoxiao Fu Kechang
School of Control Engineering Chengdu University of Information Technology Chengdu 610225 China School of Information and Engineering University of Science and technology of Beijing 100083 Beijing School of Control Engineering Chengdu University of Information Technology Chengdu 610225 China.
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
185-189
2010-03-27（万方平台首次上网日期，不代表论文的发表时间）