Intelligent Virtual Agents Architecture in Unknown Environment
As the contemporary performing behavior in the reciprocity of virtual agents is glazed excessively and can\'t satisfy complex unknown environment, the research of Intelligent Virtual Agents (IVA) with active learning and local apperception must be accelerated. In this paper, we design and implement a new IVA system architecture, for which active learning and local apperceive interaction were approached. Active learning using knowledge acquisition and knowledge evolution improved the self-regulation of behavior mechanism significantly, while local apperceive interaction could sense disturbances of the simulated environment and interactively communicate with other simulated agents within perception dimension effectively. Ultimately, the experimental result provides effectiveness and practicability of the performance in our prototype IVA system.
Keywords: Local Apperceive, Mobile Agents, Learning Algorithms
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ABOUT THE AUTHORS
Jiangfan Feng
He received his M.S. degree from Southwest Agricultural University, and his Ph.D. degree from Nanjing Normal University, in 2002 and 2007. He works as associate professor of Chongqing University of Posts and Telecommunications. His main research area include spatial information integration and multimedia geographical information system.
Hu Song
He received the B.S in Mathematical & Information Science from WeiFang Univ. in 2005 and 2009. He is currently working towards his M.S. in the Department of Computer and Information Engineering at Inha University and Chongqing University of Posts and Telecommunications. His current research interests include Intelligent Virtual Agents and multimedia geographical information system.
Yan Li
She received her B.S. degree in Computer Science from Chongqing University of Posts and Telecommunications, and her M.S. degree in Database from Inha University, in 2006 and 2008, respectively. She is currently working towards a Ph.D. degree in the Department of information engineering at Inha University. Her current research interests include Spatial database, spatial data warehouse, GIS, stream database system.
Jiangfan Feng
He received his M.S. degree from Southwest Agricultural University, and his Ph.D. degree from Nanjing Normal University, in 2002 and 2007. He works as associate professor of Chongqing University of Posts and Telecommunications. His main research area include spatial information integration and multimedia geographical information system.
Hu Song
He received the B.S in Mathematical & Information Science from WeiFang Univ. in 2005 and 2009. He is currently working towards his M.S. in the Department of Computer and Information Engineering at Inha University and Chongqing University of Posts and Telecommunications. His current research interests include Intelligent Virtual Agents and multimedia geographical information system.
Yan Li
She received her B.S. degree in Computer Science from Chongqing University of Posts and Telecommunications, and her M.S. degree in Database from Inha University, in 2006 and 2008, respectively. She is currently working towards a Ph.D. degree in the Department of information engineering at Inha University. Her current research interests include Spatial database, spatial data warehouse, GIS, stream database system.
