Skip to main content

Using a Planner for Coordination of Multiagent Team Behavior

  • Conference paper
Programming Multi-Agent Systems (ProMAS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3862))

Included in the following conference series:

Abstract

We present an approach to coordinate the behavior of a multiagent team using an HTN planning procedure. To coordinate teams, high level tasks have to be broken down into subtasks which is a basic operation in HTN planners. We are using planners in each of the agents to incorporate domain knowledge and to make agents follow a specified team strategy. With our approach, agents coordinate deliberatively and still maintain a high degree of reactivity. In our implementation for use in RoboCup Simulation League, first results were already very promising. Using a planner leads to better separation of agent code and expert knowledge.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Belker, T., Hammel, M., Hertzberg, J.: Learning to optimize mobile robot navigation based on HTN plans. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2003), Taipei, Taiwan, September 2003, pp. 4136–4141 (2003)

    Google Scholar 

  2. Bowling, M., Browning, B., Veloso, M.: Plays as team plans for coordination and adaptation. In: Proceedings of the 14th International Conference on Automated Planning and Scheduling (ICAPS 2004), Vancouver (June 2004)

    Google Scholar 

  3. Cimatti, A., Pistore, M., Roveri, M., Traverso, P.: Weak, strong, and strong cyclic planning via symbolic model checking. Artificial Intelligence 147(1-2), 35–84 (2003)

    MATH  MathSciNet  Google Scholar 

  4. Coddington, A.M., Fox, M., Long, D.: Handling durative actions in classical planning frameworks. In: Levine, J. (ed.) Proceedings of the 20th Workshop of the UK Planning and Scheduling Special Interest Group, December 2001, pp. 44–58. University of Edinburgh (2001)

    Google Scholar 

  5. Cohen, P.R., Levesque, H.J., Smith, I.: On team formation. Contemporary Action Theory (1998)

    Google Scholar 

  6. Dix, J., Muñoz-Avila, H., Nau, D.: IMPACTing SHOP: Planning in a Multi-Agent Environment. In: Sadri, F., Satoh, K. (eds.) Proceedings of CLIMA 2000, Workshop at CL 2000, pp. 30–42. Imperial College (2000)

    Google Scholar 

  7. Ghallab, M., Nau, D., Traverso, P.: Automated Planning Theory and Practice. Morgan Kaufmann, San Francisco (2004)

    Google Scholar 

  8. Grosz, B.J.: AAAI 1994 presidential address: Collaborative systems. AI Magazine 17(2), 67–85 (1996)

    MathSciNet  Google Scholar 

  9. Hayashi, H., Cho, K., Ohsuga, A.: A new HTN planning framework for agents in dynamic environments. In: Dix, J., Leite, J. (eds.) CLIMA 2004. LNCS (LNAI), vol. 3259, pp. 108–133. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  10. Kögler, M., Obst, O.: Simulation league: The next generation. In: Polani, D., et al. (eds.) [18], pp. 458–469

    Google Scholar 

  11. Lima, P., Custódio, L., Akin, L., Jacoff, A., Kraezschmar, G., Ng, B.K., Obst, O., Röfer, T., Takahashi, Y., Zhou, C.: Robocup 2004 competitions and symposium: A small kick for robots, a giant score for science. AI Magazine (2005) (to appear)

    Google Scholar 

  12. Massimo Lucchesi. Coaching the 3-4-1-2 and 4-2-3-1. Reedswain Publishing (2001)

    Google Scholar 

  13. Muñoz-Avila, H., Fisher, T.: Strategic planning for Unreal Tournament bots. In: Proceedings of AAAI 2004 Workshop on Challenges on Game AI. AAAI Press, Menlo Park (2004)

    Google Scholar 

  14. Murray, J.: Specifying agent behaviors with UML statecharts and StatEdit. In: Polani, D., et al. (eds.) [18], pp. 145–156

    Google Scholar 

  15. Murray, J., Obst, O., Stolzenburg, F.: RoboLog Koblenz 2001. In: Birk, A., Coradeschi, S., Tadokoro, S. (eds.) RoboCup 2001. LNCS (LNAI), vol. 2377, pp. 526–530. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  16. Nau, D.S., Cao, Y., Lotem, A., Muñoz-Avila, H.: Shop: Simple hierarchical ordered planner. In: Proceedings of IJCAI 1999, pp. 968–975 (1999)

    Google Scholar 

  17. Obst, O., Rollmann, M.: SPARK – A Generic Simulator for Physical Multiagent Simulations. Engineering Intelligent Systems 13 (2005) (to appear)

    Google Scholar 

  18. Polani, D., Browning, B., Bonarini, A., Yoshida, K. (eds.): RoboCup 2003. LNCS (LNAI), vol. 3020. Springer, Heidelberg (2004)

    Google Scholar 

  19. Riley, P., Veloso, M.: Planning for distributed execution through use of probabilistic opponent models. In: Proceedings of the Sixth International Conference on Artificial Intelligence Planning Systems, Toulouse, France (April 2002)

    Google Scholar 

  20. Stone, P., Veloso, M.: Task decomposition, dynamic role assignment, and low-bandwidth communication for real-time strategic teamwork. Artificial Intelligence (1999)

    Google Scholar 

  21. Subrahmanian, V.S., Bonatti, P., Dix, J., Eiter, T., Kraus, S., Ozcan, F., Ross, R.: Heterogeneous Agent Systems. MIT Press/AAAI Press, Cambridge (2000)

    Google Scholar 

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

Obst, O. (2006). Using a Planner for Coordination of Multiagent Team Behavior. In: Bordini, R.H., Dastani, M.M., Dix, J., El Fallah Seghrouchni, A. (eds) Programming Multi-Agent Systems. ProMAS 2005. Lecture Notes in Computer Science(), vol 3862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11678823_6

Download citation

  • DOI: https://doi.org/10.1007/11678823_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32616-8

  • Online ISBN: 978-3-540-32617-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics