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Proceedings Paper

Evolutionary algorithms and multi-agent systems
Author(s): Jae C. Oh
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Paper Abstract

This paper discusses how evolutionary algorithms are related to multi-agent systems and the possibility of military applications using the two disciplines. In particular, we present a game theoretic model for multi-agent resource distribution and allocation where agents in the environment must help each other to survive. Each agent maintains a set of variables representing actual friendship and perceived friendship. The model directly addresses problems in reputation management schemes in multi-agent systems and Peer-to-Peer distributed systems. We present algorithms based on evolutionary game process for maintaining the friendship values as well as a utility equation used in each agent's decision making. For an application problem, we adapted our formal model to the military coalition support problem in peace-keeping missions. Simulation results show that efficient resource allocation and sharing with minimum communication cost is achieved without centralized control.

Paper Details

Date Published: 22 May 2006
PDF: 9 pages
Proc. SPIE 6228, Modeling and Simulation for Military Applications, 62280P (22 May 2006); doi: 10.1117/12.668790
Show Author Affiliations
Jae C. Oh, Syracuse Univ. (United States)

Published in SPIE Proceedings Vol. 6228:
Modeling and Simulation for Military Applications
Kevin Schum; Alex F. Sisti, Editor(s)

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