Abstract
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.
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References
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Ubukata, S., Kudo, Y., Murai, T.: An Agent Control Method based on Rough-Set-based Granularity. In: Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2008), FR-G3-1 (2008)
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Ubukata, S., Kudo, Y., Murai, T. (2009). An Agent Control Method Based on Variable Neighborhoods. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_45
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DOI: https://doi.org/10.1007/978-3-642-04592-9_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04591-2
Online ISBN: 978-3-642-04592-9
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