Abstract:
In this paper, we discuss how KANSEI of autonomous agents are expressed by multiple neighborhoods in a topological space. In order to express agents' KANSEI, we introduce...Show MoreMetadata
Abstract:
In this paper, we discuss how KANSEI of autonomous agents are expressed by multiple neighborhoods in a topological space. In order to express agents' KANSEI, we introduce a variable neighborhood model in which agents' select multiple neighborhoods under the given context. We introduce the concept of personal space to the model as kinds of neighborhoods. We observed how agents' KANSEI were expressed by alterations in size of multiple neighborhoods through multi-agent simulations.
Published in: 2011 IEEE International Conference on Granular Computing
Date of Conference: 08-10 November 2011
Date Added to IEEE Xplore: 05 January 2012
ISBN Information: