Skip to main content

A Comparing Method of Two Team Behaviours in the Simulation Coach Competition

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3885))

Abstract

The main goal of agent modelling is to extract and represent the knowledge about the behaviour of other agents. Nowadays, modelling an agent in multi-agent systems is increasingly becoming more complex and significant. Also, robotic soccer domain is an interesting environment where agent modelling can be used. In this paper, we present an approach to classify and compare the behaviour of a multi-agent system using a coach in the soccer simulation domain of the RoboCup.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Turocy, T.L., Von Stengel, B.: Game Theory. CDAM Research Report LSE-CDAM (2001)

    Google Scholar 

  2. Carmel, D., Markovitch, S.: Opponent modelling in a multi-agent system. In: Weiss, G., Sen, S. (eds.) IJCAI-WS 1995. LNCS (LNAI), vol. 1042. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  3. Kitano, H., Tambe, M., Stone, P., Veloso, M., Coradeschi, S., Osawa, E., Matsubara, H., Noda, I., Asada, M.: The robocup synthetic agent challenge. In: Proceedings of the Fifteenth Internacional Joint Conference on artificial Intelligence (IJCAI 1997), San Francisco, CA, pp. 24–49 (1997)

    Google Scholar 

  4. Kitano, H., Asada, M., Kuniyoshi, Y., Noda, I., Osawa, E.: Robocup: The robot world cup initiative. In: Lewis Johnson, W., Hayes-Roth, B. (eds.) Proceedings of the First International Conference on Autonomous Agents (Agents 1997), vol. 5(8), pp. 340–347. ACM Press, New York (1997)

    Chapter  Google Scholar 

  5. Stone, P., Riley, P., Veloso, M.: Defining and using ideal teammate and opponent agent models. In: Proceedings of the Twelfth Innovative Applications of Artificial Intelligence Conference (IAAI 2000) (2000)

    Google Scholar 

  6. Ledezma, A., Aler, R., Sanchis, A., Borrajo, D.: Predicting Opponent Actions by Observation. In: Nardi, D., Riedmiller, M., Sammut, C., Santos-Victor, J. (eds.) RoboCup 2004. LNCS, vol. 3276, pp. 286–296. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  7. Druecker, C., Duddeck, C., Huebner, S., Neumann, H., Schmidt, E., Visser, U., Weland, H.-G.: Virtualweder: Using the online-coach to change team formations. Technical report, TZI-Center for Computing Technologies, University of Bremen (2000)

    Google Scholar 

  8. Riley, P., Veloso, M.: On Behavior Classification in Adversarial Environments. In: Distributed Autonomous Robotic Systems, vol. 4, pp. 371–380. Springer, Heidelberg (2000)

    Google Scholar 

  9. Steffens, T.: Feature-based declarative opponent-modelling in multi-agent systems. Master´s thesis, Institute of Cognitive Science Osnabrück (2002)

    Google Scholar 

  10. Chen, M., Foroughi, E., Heintz, F., Huang, Z., Kapetanakis, S., Kostiadis, K., Kummeneje, J., Noda, I., Obst, O., Riley, P., Steffens, T., Wang, Y., Yin, X.: Soccerserver Manual v7. The RoboCup Federation (2001)

    Google Scholar 

  11. Riley, P., Veloso, M., Kaminka, G.: Towards any-team coaching in adversarial domains. In: Shehory, O., Ioerger, T.R., Vassileva, J., Yen, J. (eds.) Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Sytemsi (AAMAS), Bologna, Italy (2002)

    Google Scholar 

  12. Scerri, P., Pynadath, D., Tambe, M.: Adjustable autonomy in real-world multi-agent environments. In: Agents 2001 (2001)

    Google Scholar 

  13. Riley, P., Veloso, M., Kaminka, G.: An Empirical Study of Coaching. In: Asama, H., Arai, T., Fukada, T., Hasegawa, T. (eds.) Distributed Autonomous Robotic Systems, vol. 5, pp. 215–224. Springer, Heidelberg (2002)

    Google Scholar 

  14. Kuhlmann, G., Stone, P., Lallinger, J.: The Champion UT Austin Villa 2003 Simulator Online Coach Team. In: Polani, D., Browning, B., Bonarini, A., Yoshida, K. (eds.) RoboCup-2003: Robot Soccer World Cup VII. Springer, Berlin (2004)

    Google Scholar 

  15. Kaminka, G.A., Fidanboylu, M., Chang, A., Veloso, M.: Learning the Sequential Coordinated Behavior of Teams from Observations. In: Proceedings of the RoboCup-2002 Symposium, Fukuoka, Japan (June 2002)

    Google Scholar 

  16. Huang, Z., Yang, Y., Chen, X.: An approach to plan recognition and retrieval for multi-agent systems. In: Proc of AORC, Sydney, Australia (January 2003)

    Google Scholar 

  17. Knuth, D.E.: The Art of Computer Programming, Sorting and Searching, vol. 3. Addison-Wesley, Reading (1972)

    MATH  Google Scholar 

  18. Fredkin, E.: Trie Memory. Communication of the ACM 3(9), 490–499 (1960)

    Article  Google Scholar 

  19. Rohlf, F.J., Sokal, R.R.: Statistical Tables, 3rd edn. W. H. Freeman and Company, New York (1995)

    MATH  Google Scholar 

  20. The RoboCup 2005 Simulation League Organizing Committee. RoboCup 2005 Official Rules for the Coach Competition (January 2005), http://staff.science.uva.nl/~jellekok/robocup/rc05/Coach-Rules-Revision0.3.pdf

  21. http://staff.science.uva.nl/%7Ejellekok/robocup/rc05/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Iglesias, J.A., Ledezma, A., Sanchis, A. (2006). A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. In: Torra, V., Narukawa, Y., Valls, A., Domingo-Ferrer, J. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2006. Lecture Notes in Computer Science(), vol 3885. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11681960_13

Download citation

  • DOI: https://doi.org/10.1007/11681960_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32780-6

  • Online ISBN: 978-3-540-32781-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics