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Multiagent communication combining genetic programming and pheromone communication

Kenneth J. Mackin (Department of Control and System Engineering, Toin University of Yokohama)
Eiichiro Tazaki (Department of Control and System Engineering, Toin University of Yokohama)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 August 2002

462

Abstract

Multiagent systems, in which independent software agents interact with each other to achieve common goals, complete concurrent distributed tasks under autonomous control. Agent Communication has been shown to be an important factor in coordinating efficient group behavior in agents. Most researches on training or evolving group behavior in multiagent systems used predefined agent communication protocols. Designing agent communication becomes a complex problem in dynamic and large‐scale systems. In order to solve this problem, in this paper we propose a new application of existing training methods. By applying Genetic Programming techniques, namely Automatically Defined Function Genetic Programming (ADF‐GP), in combination with pheromone communication features, we allowed the agent system to autonomously learn effective agent communication messaging for coordinated group behavior. A software simulation of a multiagent transaction system aiming at e‐commerce usage will be used to observe the effectiveness of the proposed method in the targeted environment. Using the proposed method, automatic training of a compact and efficient agent communication protocol for the multiagent system was observed.

Keywords

Citation

Mackin, K.J. and Tazaki, E. (2002), "Multiagent communication combining genetic programming and pheromone communication", Kybernetes, Vol. 31 No. 6, pp. 827-843. https://doi.org/10.1108/03684920210432808

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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