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Erschienen in:
2009 | OriginalPaper | Buchkapitel
An Agent Control Method Based on Variable Neighborhoods
verfasst von : Seiki Ubukata, Yasuo Kudo, Tetsuya Murai
Erschienen in: Knowledge-Based and Intelligent Information and Engineering Systems
Verlag: Springer Berlin Heidelberg
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In this paper, we propose a model that an agent selects actions based on variable neighborhoods. We formulate relationships among variable neighborhoods, the agent’s observations, and the agent’s behaviors in a framework of rough set theory and topological spaces. The main task is to explore a method by which we can select sizes of neighborhoods under given contexts. We also show simulation results of the proposed method.