Skip to main content

Multi-agent coordination through coalition formation

  • Section III: Coordination Planning and Monitoring
  • Conference paper
  • First Online:
Book cover Intelligent Agents IV Agent Theories, Architectures, and Languages (ATAL 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1365))

Included in the following conference series:

Abstract

Incorporating coalition formation algorithms into agent systems shall be advantageous due to the consequent increase in the overall quality of task performance. Coalition formation was addressed in game theory, however the game theoretic approach is centralized and computationally intractable. Recent work in DAI has resulted in distributed algorithms with computational tractability. This paper addresses the implementation of distributed coalition formation algorithms within a real-world multi-agent system. We present the problems that arise when attempting to utilize the theoretical coalition formation algorithms for a real-world system, demonstrate how some of their restrictive assumptions can be relaxed, and discuss the resulting benefits. In addition, we analyze the modifications, the complexity and the quality of the cooperation mechanisms. The task domain of our multi-agent system is information gathering, filtering and decision support within the WWW.

This material is based upon work supported in part by ARPA Grant #F33615-93-1-1330, by ONR Grant #N00014-96-1-1222, and by NSF Grant #IRI-9508191.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Robert Armstrong, Dayne Freitag, Thorsten Joachims, and Tom Mitchell. Webwatcher: A learning apprentice for the world wide web. In Proceedings of AAAI Spring Symposium on Information Gatheringfrom HeterogenousDistributed Environments, 1995.

    Google Scholar 

  2. R. Davis and R. G. Smith. Negotiation as a metaphor for distributed problem solving. Artificial Intelligence, 20(1):63–109, January 1983.

    Article  Google Scholar 

  3. K. Decker, K. Sycara, and M. Williamson. Middle-agents for the intemet. In Proceeding of IJCAI-97, Nagoya, Japan, 1997.

    Google Scholar 

  4. Oren Etzioni and Daniel Weld. A softbot-based interface to the intemet. Communications of the ACM, 37(7), July 1994.

    Google Scholar 

  5. J. C. Harsanyi. Rational Behavior and Bargaining Equilibrium in Games and Social Situations. Cambridge University Press, 1977.

    Google Scholar 

  6. S. P. Ketchpel. Forming coalitions in the face of uncertain rewards. In Proc. of AAAI94, pages 414–419, Seattle, Washington, 1994.

    Google Scholar 

  7. D. Kuokka and L. Harada. On using KQML for matchmaking. In Proceedings of the First International Conference on Multi-Agent Systems, pages 239–245, San Francisco, June 1995. AAAI Press.

    Google Scholar 

  8. K. Lang. Learning to filter netnews. In Proceedings of the Machine Learning Conference 1995, 1995.

    Google Scholar 

  9. P. Maes. Agents that reduce work and information overload. Communications of the ACM, 37(7):31–40,1994.

    Article  Google Scholar 

  10. M. Nodine and A. Unruh. Facilitating open communication in agent systems: the infosleuth infrastructure. In this volume.

    Google Scholar 

  11. A. Rapoport. N-Person Game Theory. University of Michigan, 1970.

    Google Scholar 

  12. T. W. Sandholm and V R. Lesser. Coalition formation among bounded rational agents. In Proc. of IJCAI-95, pages 662–669, Montrèal, 1995.

    Google Scholar 

  13. O. Shehory and S. Kraus. Formation of overlapping coalitions for precedence-ordered task-execution among autonomous agents. In Proc. of ICMAS-96, pages 330–337, Kyoto, Japan, 1996.

    Google Scholar 

  14. K. Sycara, K. Decker, A. Pannu, and M. Williamson. Designing behaviors for information agents. In Proceeding of Agents-97, pages 404–412, Los Angeles, 1997.

    Google Scholar 

  15. K. Sycara, K. Decker, A. Pannu, M. Williamson, and D. Zeng. Distributed intelligent agents. IEEE Expert-Inteligent Systems and Their Applications, 11(6):36–45, 1996.

    Google Scholar 

  16. K. Sycara and D. Zeng. Coordination of multiple intelligent software agents. International Journal of Intelligent and Cooperative Information Systems, 1996.

    Google Scholar 

  17. M. P. Wellman. A market-oriented programming environment and its application to distributed multicommodity flow problems. Journal of Artificial Intelligence Research, l:1–23, 1993.

    Google Scholar 

  18. M. Williamson, K. Decker, and K. Sycara. Unified information and control flow in hierarchical task networks. In Proceedings of the AAAI-96 workshop on Theories of Planning, Action, and Control, 1996.

    Google Scholar 

  19. G. Zlotkin and J. S. Rosenschein. Coalition, cryptography, and stability: Mechanisms for coalition formation in task oriented domains. In Proc. of AAAl94, pages 432–137, Seattle, Washington, 1994.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Munindar P. Singh Anand Rao Michael J. Wooldridge

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shehory, O.M., Sycara, K., Jha, S. (1998). Multi-agent coordination through coalition formation. In: Singh, M.P., Rao, A., Wooldridge, M.J. (eds) Intelligent Agents IV Agent Theories, Architectures, and Languages. ATAL 1997. Lecture Notes in Computer Science, vol 1365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0026756

Download citation

  • DOI: https://doi.org/10.1007/BFb0026756

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64162-9

  • Online ISBN: 978-3-540-69696-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics