Title :
Behavior decision model of intelligent agent based on artificial emotion
Author :
Guojiang, Wang ; Xiaoxiao, Wang ; Kechang, Fu
Author_Institution :
Sch. of Control Eng., Chengdu Univ. of Inf. Technol., Chengdu, China
Abstract :
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.
Keywords :
Markov processes; uncertainty handling; D-S evidence theory; Markov decision process; affective decision system; artificial emotion; behavior decision model; emotion psychology; emotional agent modeling; intelligent agent; motivations; Artificial intelligence; Control engineering; Electronic mail; Emotion recognition; Humans; Information technology; Intelligent agent; Intelligent robots; Machine intelligence; Psychology; Artificial Emotion; Behavior Decision Model; D-S Evidence Theory; Markov Decision Process;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487217