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Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups
Tadahiko Murata and Takashi Nakamura
Department of Informatics, Kansai University, Takatsuki, 569-1095, Osaka, Japanmurata@res.kutc.kansai-u.ac.jp
http://www.res.kutc.kansai-u.ac.jp/~murata/
Abstract. In this paper, we propose a genetic network programming (GNP) architecture using a coevolution model called automatically defined groups (ADG). The GNP evolves networks for describing condition-action relations for agents. By applying ADG to GNP, we evolve different networks in order to realize the cooperation of multiple agents with different abilities. Computational experiments on a load transportation problem show that appropriate networks are obtained with taking account of the ability of agents.
LNCS 3103, p. 712 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2004