教師資料查詢 | 類別: 會議論文 | 教師: 陳瑞發 CHEN JUI-FA (瀏覽個人網頁)

標題:Constructing an intelligent behavior avatar in a virtual world: a self-learning model based on reinforcement
學年94
學期1
發表日期2005/08/15
作品名稱Constructing an intelligent behavior avatar in a virtual world: a self-learning model based on reinforcement
作品名稱(其他語言)
著者Chen, Jui-fa; Lin, Wei-chuan; Bai, Hua-sheng; Yang, Chia-che; Chao, Hsiao-chuan
作品所屬單位淡江大學資訊工程學系
出版者Institute of electrical and electronics engineers (IEEE)
會議名稱Information Reuse and Integration, Conf, 2005. IRI -2005 IEEE International Conference on
會議地點San Diego, CA, USA
摘要In this paper, a novel method for personal intelligent behavior avatar (IBA) is proposed to acquire autonomous behavior based on the interactions between user and smart objects in the virtual environment. In this method, the behavior decision model and the self-learning model are integrated by Bayesian networks and reinforcement learning. The Bayesian networks can treat interaction experiences using statistical processes, and the sureness of decision making is represented by certainty factors using stochastic reasoning. The reinforcement learning is implemented by learning experimentation or trial and error mechanisms to improve the performance of IBA through feedback. Therefore, the IBA makes a strategic decision that is approximated and appropriate to the user through the self-learning process by reinforcement learning. Finally, the feasibility of this method is investigated by imitating user's behavior and the results of self-learning process. The results of simulation show that the method is successful in imitating user's behavior and improving the performance of IBA.
關鍵字
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20050815~20050817
通訊作者陳瑞發
國別美國
公開徵稿Y
出版型式
出處Information Reuse and Integration, Conf, 2005. IRI -2005 IEEE International Conference on, pp.421-426
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