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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Adaptive Agent Selection in Large-Scale Multi-Agent Systems
verfasst von : Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin-ya Sato, Satoshi Kurihara
Erschienen in: PRICAI 2006: Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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An agent in a multi-agent system (MAS) has to select appropriate agents to assign tasks. Unfortunately no agent in an open environment can identify the states of all agents, so this selection must be done according to local information about the other known agents; however this information is limited and may contain uncertainty. In this paper we investigate how overall performance of MAS is affected by learning parameters for adaptive strategies to select partner agent for collaboration. We show experimental results using simulation and discuss why overall performance of MAS varies.