Abstract
This paper proposes an action rule discovery technique from simulated RoboCup soccer logs. Our proposed technique analyzes log files of past games and generates effective action rules for agents. From simulation results, we show the effectiveness of our action rule discovery technique.
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References
RoboCup Official Site, http://www.robocup.org/
T. Nakashima, M. Takatani, M. Udo, H. Ishibuchi, and M. Nii, Evolution of Strategies for Simulated RoboCup Soccer, 5th International Conference on Recent Advances in Soft Computing, pp. 183–188, 2004.
Mao Chen, et al., RoboCup Soccer Server Users Manual for Soccer Server Version 7.07 and later, 2003.
UvA Trilearn description page, http://carol.science.uva.nl/~jellekok/robocup/index_en.html
T. Nakashima, M. Takatani, M. Udo, and H. Ishibuchi, Description of Team hana-RoboCup 2004 Version-, RoboCup 2004 World Competition Team Description Paper, CD-ROM(4 pages), 2004.
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© 2006 Springer-Verlag Berlin Heidelberg
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Nii, M., Kajihara, M., Takahashi, Y., Nakashima, T. (2006). An Action Rule Discovery Technique from Simulated RoboCup Soccer Logs. 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_12
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DOI: https://doi.org/10.1007/3-540-29344-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28496-3
Online ISBN: 978-3-540-29344-6
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