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
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.118
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||