Abstract
This paper proposes a coevolutionary algorithm for acquiring cooperative behavior of soccer robots. Fuzzy control is applied to the control of the soccer robots as local behavior, while the target point generation is used for global behavior. Furthermore, a classifier system is applied for generating a target point for the global behavior in the current situation. We show simulation results of cooperative behavior acquisition of soccer robots.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kubota, N., Umeda, T. (2006). Coevolutionary Algorithm for Behavior Acquisition of Soccer Robots. In: Murase, K., Sekiyama, K., Naniwa, T., Kubota, N., Sitte, J. (eds) Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005). Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29344-2_23
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DOI: https://doi.org/10.1007/3-540-29344-2_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28496-3
Online ISBN: 978-3-540-29344-6
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