Agents´ KANSEI expression based on variable neighborhood models

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.