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. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Murata, T., & Nakamura, T. (2004). Multi-agent cooperation using genetic network programming with automatically defined groups. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3103, 712–714. https://doi.org/10.1007/978-3-540-24855-2_82
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