Know thine enemy: A champion RoboCup coach agent

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2006, Pages 1463-1468

  Kuhlmann, Gregory ^a   Knox, William B ^a   Stone, Peter ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS COACH AGENT; ROBOCUP SIMULATION; TEAM-BASED MULTIAGENT SYSTEM;

COMPUTER SIMULATION; GAME THEORY; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; SERVERS;

ARTIFICIAL INTELLIGENCE;

EID: 33750718468     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Chen, M.; Foroughi, E.; Heintz, F.; Kapetanakis, S.; Kostiadis, K.; Kummeneje, J.; Noda, I.; Obst, O.; Riley, P.; Steffens, T.; Wang, Y.; and Yin, X. 2003. Users manual: RoboCup soccer server manual for soccer server version 7.07 and later. Available at http://sourceforge.net/projects/sserver/.
2. Kitano, H.; Kuniyoshi, Y.; Noda, I.; Asada, M.; Matsubara, H.; and Osawa, E. 1997. RoboCup: A challenge problem for AI. AI Magazine 18(1):73-85.
3. Kok, J. R.; de Boer, R.; Vlassis, N.; and Groen, F. 2003. Towards an optimal scoring policy for simulated soccer agents. In Kaminka, G. A.; Lima, P. U.; and Rojas, R., eds., RoboCup-2002: Robot Soccer World Cup VI. Berlin: Springer Verlag. 292-299.
4. Kuhlmann, G.; Stone, P.; and Lallinger, J. 2005. The UT Austin Villa 2003 champion simulator coach: A machine learning approach. In Nardi, D.; Riedmiller, M.; and Sammut, C., eds., RoboCup-2004: Robot Soccer World Cup VIII. Berlin: Springer Verlag. 636-644.
5. Noda, I.; Matsubara, H.; Hiraki, K.; and Frank, I. 1998. Soccer server: A tool for research on multiagent systems. Applied Artificial Intelligence 12:233-250.
6. Quinlan, J. R. 1993. C4.5: Programs for Machine Learning. San Mateo, CA: Morgan Kaufmann.
7. Riley, P., and Veloso, M. 2000. On behavior classification in adversarial environments. In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AMI-2000).
8. Riley, P., and Veloso, M. 2002. Recognizing probabilistic opponent movement models. In Birk, A.; Coradeschi, S.; and Tadokoro, S., eds., RoboCup-2001: The Fifth RoboCup Competitions and Conferences. Berlin: Springer Verlag.
9. Riley, P.; Veloso, M.; and Kaminka, G. 2002. An empirical study of coaching. In Asama, H.; Arai, T.; Fukuda, T.; and Hasegawa, T., eds., Distributed Autonomous Robotic Systems 5. Springer-Verlag. 215-224.
10. Stone, P. 2000. Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer. MIT Press.
11. Sukthankar, G., and Sycara, K. 2005. Automatic recognition of human team behaviors. In Proceedings of Modeling Others from Observations, Workshop at the International Joint Conference on Artificial Intelligence (IJCAI).
12. Tambe, M. 1996. Tracking dynamic team activity. In National Conference on Artificial Intelligence(AAAI96).
13. Veloso, M.; Stone, P.; and Bowling, M. 1999. Anticipation as a key for collaboration in a team of agents: A case study in robotic soccer. In Schenker, P. S., and McKee, G. T., eds., Proceedings of SPIE Sensor Fusion and Decentralized Control in Robotic Systems II, volume 3839, 134-143. Bellingham, WA: SPIE.