Behavior decision model of intelligent agent based on artificial emotion
Wang Guojiang, Wang Xiaoxiao, Kechang Fu · 2010
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.