Autonomous agent control based on variable neighbourhoods
by S. Ubukata, Y. Kudo, T. Murai
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 3, No. 1, 2011

Abstract: In this paper, we propose a model in which an autonomous agent selects actions based on variable neighbourhoods. We formulate relationships among variable neighbourhoods, the agent's observations, and the agent's behaviours 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 neighbourhoods under given contexts. We also show simulation results of the proposed method.

Online publication date: Sun, 26-Dec-2010

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