Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Applying Multiple Classifier Systems to SoftMan?s Perception System
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
Aizhong Mi, University of Science and Technology Beijing, China; Henan Polytechnic University, China
Xuefeng Zheng, University of Science and Technology Beijing, China
Xuyan Tu, University of Science and Technology Beijing, China
SoftMan, the virtual robot in network environment, is a kind of software Artificial Life living in computer networks. It has a humanoid structure, and simulating human, its perception system should be able to recognize perceptive objects. Enlightened by human?s perception system and the "disassemble-integration" method in analyzing large systems, a cooperative classification model in SoftMan?s perception system is proposed. In the model, different humanoid senses are simulated by multiple classifier systems (MCS). Consequently, SoftMan can perform multi-sense cooperative classification on its perceptive objects. A simulated experiment validates the basic feasibility of the model.
Citation:
Aizhong Mi, Xuefeng Zheng, Xuyan Tu, "Applying Multiple Classifier Systems to SoftMan?s Perception System," snpd, vol. 1, pp.315-320, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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