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Theoretic study of distributed graph planning

Published: 10 May 2009 Publication History
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  • Abstract

    In situations where it needs the actions of different agents to accomplish a task, the planning for the task involves selecting and organizing the actions belonging to multiple agents. Most existing multi-agent planning approaches to solving such a planning problem rely on the global knowledge of the capabilities of the agents, and are confronted with difficulties when the availability of the global knowledge is impossible or undesirable. Previously, we have proposed a distributed multi-agent planning algorithm Dis-graph planning to address the difficulties, which enables multiple agents to cooperate in generating a plan without relying on the global knowledge. In the work of this paper, we performed a theoretical study of Dis-graph planning approach, discussing its critical features such as completeness, soundness and terminability.

    References

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    M. de Weerdt, A. ter Mors, and C. Witteveen. Multi-agent planning: An introduction to planning and coordination. In Handouts of the European Agent Summer School, pages 1--32, 2005.
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    E. H. Durfee. Distributed problem solving and planning. In Multiagent systems: a modern approach to distributed artificial intelligence, pages 121--164. MIT Press, Cambridge, MA, USA, 1999.
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    D. Nau, M. Ghallab, and P. Traverso. Automated Planning: Theory&Practice. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2004.
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    M. P. Papazoglou and D. Georgakopoulos. Introduction. Commun. ACM, 46(10):24--28, 2003.
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    J. F. Zhang and R. Kowalczyk. Agent-based dis-graph planning algorithm for web service composition. In CIMCA '06: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce, page 258, Washington, DC, USA, 2006. IEEE Computer Society.
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    J. F. Zhang, X. T. Nguyen, and R. Kowalczyk. Graph-based multiagent replanning algorithm. In AAMAS '07: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, pages 1--8, New York, NY, USA, 2007. ACM.

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    Published In

    cover image Guide Proceedings
    AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
    May 2009
    730 pages
    ISBN:9780981738178

    Sponsors

    • Drexel University
    • Wiley-Blackwell
    • Microsoft Research: Microsoft Research
    • Whitestein Technologies
    • European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
    • The Foundation for Intelligent Physical Agents

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    International Foundation for Autonomous Agents and Multiagent Systems

    Richland, SC

    Publication History

    Published: 10 May 2009

    Author Tags

    1. distributed planning graph
    2. multi-agent planning

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    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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