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Dynamic cooperation using resource based planning

Published: 08 May 2006 Publication History

Abstract

In multi-agent planning, cooperation is a crucial interaction to reduce plan costs and complexities in order to satisfy non-conflicting goals. However, it is not generally natural to sacrifice from the autonomy of agents by letting agents share all of their local plans. Resource based planning is a planning framework similar to logic based planning based on resources and skills that map to states and actions of world state. Resource based planning is very functional in processing plan elements to find cooperation schemas. In this work we extended the simple resource based plan coordination method proposed by Tonino, et al [2]. Our framework provides not only a basis for modifying plan elements, but also functionality for manipulating plans dynamically. A negotiation algorithm using a resource based perspective provides the necessary ground for forming cooperation among agents. We illustrated the effectiveness of the proposed method on a modified postman domain, where agents try to minimize the cost of delivering the letters they are assigned.

References

[1]
J. S. Rosenschein and G. Zlotkin. Designing conventions for automated negotiation. AI Mag., 15(3):29--46, 1994.
[2]
J. Tonino, A. Bos, M. M. de Weerdt, and C. Witteveen. Plan coordination by revision in collective agent-based systems. Artificial Intelligence, 142(2):121--145, 2002.
[3]
H. Ulusoy. Forming coalitions through negotiation in multi-agent environments. Master's thesis, Middle East Technical University, Department Of Computer Engineering, December 1999.

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cover image ACM Conferences
AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
May 2006
1631 pages
ISBN:1595933034
DOI:10.1145/1160633
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 08 May 2006

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  1. applications of autonomous agents and multi-agent systems
  2. cooperation and coordination among agents
  3. multi-agent planning

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