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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Heterogeneous Multi-agents Learning Using Genetic Network Programming with Immune Adjustment Mechanism
verfasst von : Hirotaka Itoh, Naoki Ikeda, Kenji Funahashi
Erschienen in: New Advances in Intelligent Decision Technologies
Verlag: Springer Berlin Heidelberg
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A heterogeneous multi-agent system is a system that involves two or more agents that cooperate in order to accomplish a certain task. Genetic Network Programming (GNP) is a technique to automatically build a multi-agent system. In the past, the authors proposed the use of the Immune evolved Genetic Network Programming (IGNP) technique for the automatic construction of multi-agent systems. In this paper, the authors propose the use of Genetic Network Programming with Immune Adjustment Mechanism (GNPIAM) as a technique to automatically build a heterogeneous multi-agent system. In this study, the authors carry out experiments using tile world to evaluate the validity of the proposed method and compare the three techniques—GNP, IGNP, and GNPIAM.