Abstract
Soccer, association football, is a typical team-game, and is considered as a standard problem of multi-agent system and cooperative computation. We are developing Soccer Server, a simulator of soccer, which provides a common test-bench to evaluate various multi-agent systems and cooperative algorithms. We are working on learning co-operative behavior in multi-agent environment using the server. In this article, we report a result of case study of learning selection of play-plans in multi-agent environment.
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References
Minoru Asada, Shoichi Noda, and Koh Hosoda. Non-physical intervention in robot learning based on lfe method. In Proc. of Machine Learning Conference Workshop on Learning from Examples vs. Programming by Demonstration, 1995.
Hiroaki Kitano, Minoru Asada, Yasuo Kuniyoshi, Itsuki Noda, and Eiichi Osawa. Robocup: The robot world cup intiative. In Working Notes of IJCAI Workshop: Entertainment and AI/Alife, pages 19–24, Aug. 1995.
M. K. Sahota. Reactive delivation: an architecture for real-time intelligent control in dynamic environments. In Proc. of AAAI-94, pages 1303–1308, 1994.
Mickael K. Sahota. Real-time intelligent behaviour in dynamic environments: Soccer-playing robots. matster thesis, Department of Computer Science, The University of British Columbia, Aug. 1993.
P. Stone and M. Veloso. Learning to pass or shoot: collaborate or do it yourself, 1995. unpublished manuscript.
J. Tani and N. Fukumura. Learning goal-directed sensory-based navigation of a mobile robot. Neural Networks, 7(3):553–563, 1994.
Yasuhiro Wada and Mitsuo Kawato. A neural network model for arm trajectory formation using forward and inverse dynamics models. Neural Networks, 6:919–932, 1993.
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© 1996 Springer-Verlag Berlin Heidelberg
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Itsuki, N., Hitoshi, M., Kazuo, H. (1996). Learning cooperative behavior in multi-agent environment a case study of choice of play-plans in soccer. In: Foo, N., Goebel, R. (eds) PRICAI'96: Topics in Artificial Intelligence. PRICAI 1996. Lecture Notes in Computer Science, vol 1114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61532-6_48
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DOI: https://doi.org/10.1007/3-540-61532-6_48
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