A case-based reasoning approach to imitating RoboCup players

Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21

Volumn , Issue , 2008, Pages 251-256

  Floyd, Michael W ^a   Esfandiari, Babak ^a   Lam, Kevin ^a  

^a CARLETON UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CASE BASE; CASE-BASED REASONINGS; HUMAN INTERVENTIONS; ROBOCUP; ROBOCUP SOCCERS; SIMULATION LEAGUES; SPATIAL CONFIGURATIONS;

AGENTS; ARTIFICIAL INTELLIGENCE; LOCOMOTIVES; RAILROAD CARS;

CASE BASED REASONING;

EID: 52449097334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Aamodt, A., and Plaza, E. 1994. Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Communications 7(1):39-59.
2. Bauckhage, C.; Thurau, C.; and Sagerer, G. 2004. Learning Human-Like Movement Behavior for Computer Games. In Proceedings of the Eighth International Conference on the Simulation of Adaptive Behavior (SAB04).
3. Berger, R.; Hein, D.; and Burkhard, H.-D. 2007. AT Humboldt & AT Humboldt 3D Team description 2006. In RoboCup 2006. Springer.
4. Cook, W., and Rohe, A. 1999. Computing minimum-weight perfect matchings. INFORMS Journal on Computing 11:138-148.
5. Drucker, C.; Hubner, S.; Visser, U.; and Weland, H.-G. 2002. "As time goes by" - Using time series based decision tree induction to analyze the behaviour of opponent players. In RoboCup 2001, 325-330. London, UK: Springer-Verlag.
6. Huang, T., and Swenton, F. 2003. Teaching undergraduate software design in a liberal arts environment using robocup. In Proceedings of the 8th annual conference on Innovation and technology in computer science education, 114-118. New York, NY, USA: ACM Press.
7. Koza, J. R. 1992. Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA, USA: MIT Press.
8. Lam, K.; Esfandiari, B.; and Tudino, D. 2006. A scene-based imitation framework for RoboCup clients. In Proceedings of the Workshop "Modelling Other Agents from Observations" at AAAI 2006, 24-31. Technical Report WS-06-13.
9. Langner, K. 1999. The Krislet Java Client. http://www.ida.liu.se/frehe/ RoboCup/Libs/libsv5xx.html.
10. Marling, C.; Tomko, M.; Gillen, M.; Alexander, D.; and Chelberg, D. 2003. Case-based reasoning for planning and world modeling in the RoboCup small sized league. In IJCAI Workshop on Issues in Designing Physical Agents for Dynamic Real-Time Environments.
11. Marlow, P. 2004. A process and tool-set for the development of an interface agent for use in the robocup environment. Master's thesis, Carleton University.
12. Matsui, T.; Inuzuka, N.; and Seki, H. 2000. A proposal for inductive learning agent using first-order logic. In Cussens, J., and Frisch, A., eds., Proceedings of the Workin-Progress Track at the 10th International Conference on Inductive Logic Programming, 180-193.
13. Murakami, Y.; Ishida, T.; Kawasoe, T.; and Hishiyama, R. 2003. Scenario description for multi-agent simulation. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, 369-376. ACM Press.
14. RoboCup. 2007. Robocup online, http://www.robocup.org.
15. Ros, R.; de Mantaras, R. L.; Arcos, J. L.; and Veloso, M. 2007. Team playing behavior in robot soccer: A case-based approach. In 7th International Conference on Case-Based Reasoning, 46-60. Springer.
16. Stahl, A., and Gabel, T. 2003. Using evolution programs to learn local similarity measures. In Ashley, K. D., and Bridge, D. G., eds., ICCBR, volume 2689 of Lecture Notes in Computer Science, 537-551. Springer.
17. Stahl, A. 2005. Learning similarity measures: A formal view based on a generalized CBR model. In Muñoz-Avila, H., and Ricci, F., eds., ICCBR, volume 3620 of Lecture. Notes in Computer Science, 507-521. Springer.
18. Steffens, T. 2004. Adapting similarity measures to agent types in opponent modeling. In Proceedings of the Workshop "Modelling Other Agents from Observations" at AA-MAS 2004, 125-128.
19. Stone, P.; Veloso, M.; and Riley, P. 1999. The CMUnited-98 champion simulator team. In RoboCup 1998. Springer-Verlag.
20. Wendler, J., and Lenz, M. 1998. CBR for dynamic situation assessment in an agent-oriented setting. In Proceedings of AAAI-98 Workshop on CaseBased Reasoning Integrations.
21. Wettschereck, D., and Aha, D. W. 1995. Weighting features. In Proceedings of the First International Conference on Case-Based Reasoning Research and Development, 347-358. London, UK: Springer-Verlag.
22. Wooldridge, M. 2002. An Introduction to Multiagent Systems. New York, NY, USA: John Wiley & Sons, Inc.