Abstract
The paper describes an application of the data mining components with learning for RoboCup soccer agents. Data mining modules capable of on-line learning in dynamically changing environment are suggested. These modules provide for adaptive agent behavior in the form of the cognitive control systems that are able to self-tune in non-deterministic environment. Reinforcement learning is considered as the basic method for forming an agent behavior. A cognitive soccer agent for RoboCup Simulation League competitions capable of on-line learning has been developed and studied. Examples of shooting and teamwork are considered. The STEP team based on the cognitive agent succeeded in RoboCup German Open 2004 and was the winner of the RoboCup-2004 World Championship in simulation league.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hayes-Roth, B., Hayes-Roth, F.: A Cognitive Model of Planning. Cognitive Science 3, 275–310 (1979)
Bratman, M., Israel, D., Pollack, M.: Plans and resource-bounded practical reasoning. Computational Intelligence 4, 349–355 (1988)
Gorodetski, V., Lebedev, A.: Multi-agent Technology for Planning, Scheduling, and Resource Allocation. In: Proc. of 3d Int. Conf. on Multi-Agent Systems, Paris, France (1998)
Mitchell, T., Allen, J., Chalasani, P., Cheng, J., Etzioni, O., Ringuette, M., Schlimmer, J.: Theo: A framework for self-improving systems. In: VanLehn, K. (ed.) Architectures for Intelligence, pp. 323–355 (1991)
Mitchell, T.: Plan-then-compile Architectures. SIGART Bulletin 2, 136–139 (1991)
Nurulin, Y., Stankevich, L.: Cognitive modeling and management of socio-technical systems. In: Proceeding of ICIL 1999, S-Petersburg, Russia, Univ. of Southampton, UK (1999)
Stankevich, L.: A cognitive agent for soccer game. In: Proceeding of First Workshop of Central and Eastern Europe on Multi-agent Systems (CEEMAC 1999), Printed by ”Anatolyi”, S-Petersburg (1999)
Stankevich, L.: Multiagent technology in cognitive control systems for autonomous robots. In: Extreme robotics. Proc. of 10-th Conference, St. Petersburg, STUPress (1999)
Stankevich, L.: Cognitive robotics. In: Extreme robotics. Proceeding of XII-th Conference, St. Petersburg, STUPress (2002)
Stankevich, L.: Cognitive structures and agents in intellectual robot control systems. AI News 1, 41–55 (2004)
Sutton, R., Barto, A.: Reinforcement Learning: An introduction. MIT Press, Cambridge (1998)
Serebryakov, S., Ivanov, A., Stankevich, L.: Robotic soccer, reinforcement learning and teamwork. In: X International Student Olympiad on Automatic Control (Baltic Olympiad). Preprints. Saint-Petersburg, Saint-Petersburg State University of Information Technologies, Mechanics And Optics, pp. 123–128 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Stankevich, L., Serebryakov, S., Ivanov, A. (2005). Data Mining Techniques for RoboCup Soccer Agents. In: Gorodetsky, V., Liu, J., Skormin, V.A. (eds) Autonomous Intelligent Systems: Agents and Data Mining. AIS-ADM 2005. Lecture Notes in Computer Science(), vol 3505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492870_23
Download citation
DOI: https://doi.org/10.1007/11492870_23
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26164-3
Online ISBN: 978-3-540-31932-0
eBook Packages: Computer ScienceComputer Science (R0)