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Agent organizations with utility-based fuzzy coalitions

Published: 15 July 2002 Publication History

Abstract

Formation of coalitions in multi-agent systems (MAS) enables the development of efficient agent organizations. In the article, the methodology of the coalition formation in the context of MAS is presented that consists of using the theory of games with fuzzy coalitions in such a way that the negotiations are guided to maximize the benefits or viabilities (i) of each individual agent, (ii) of agents' coalition and even (iii) of a grand coalition that contains all the agents of the system. The optimal imputation is obtained using genetic algorithms. The proposed approach was implemented and tested for the domain of supply chains.

References

[1]
Aubin, J.P. Cooperative fuzzy games. Mathematics of Operations Research, 6(1):1--13, 1981.
[2]
Mareš, M., Fuzzy coalition structures. Fuzzy sets and systems. Elsevier Sciences, 114: 23--33. 2000.
[3]
Romero, C.,J.,C. and Sheremetov, L.,B., Model of cooperation in MAS with fuzzy coalitions. In Proc. of the CEEMAS'01. Krakow, Poland, pp. 237--246, 2001.
[4]
Shehory O. and Kraus S., Methods for task allocation via agent coalition formation, Artificial Intelligence, 101(1-2):165--200, 1998.

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cover image ACM Conferences
AAMAS '02: Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
July 2002
540 pages
ISBN:1581134800
DOI:10.1145/544741
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

Publication History

Published: 15 July 2002

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Author Tags

  1. games with fuzzy coalitions
  2. genetic algorithms
  3. multi-agent system
  4. supply chain
  5. utility

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