AGENT-BASED SIMULATION FOR KANSEI ENGINEERING： TESTING A FUZZY LINEAR QUANTIFICATION METHOD IN AN ARTIFICIAL WORLD

This paper argues that agent-based simulation can be used as a way for testing Kansei Engineering methods which deal with the human reaction from sensory to mental state, that is, sensitivity, sense, sensibility, feeling, esthetics, emotion affection and intuition. A new fuzzy linear quantification method is tested in an artificial world by agent-based modeling and simulations, and the performance of the fuzzy linear method is compared with that of a genetic algorithm. The simulations can expand people＇s imagination and enhance people＇s intuition that the new fuzzy linear quantification method is effective.

Agent-based simulation for Kansei Engineering: Testing a fuzzy linear quantification method in an artificial world

This paper argues that agent-based simulation can be used as a way for testing Kansei Engineering methods which deal with the human reaction from sensory to mental state, that is, sensitivity, sense, sensibility, feeling, esthetics, emotion affection and intuition. A new fuzzy linear quantification method is tested in an artificial world by agent-based modeling and simulations, and the performance of the fuzzy linear method is compared with that of a genetic algorithm. The simulations can expand people’s imagination and enhance people’s intuition that the new fuzzy linear quantification method is effective. This research was sponsored by the JAIST 21^st COE program. Tieju MA is an assistant professor at the Graduate School of Knowledge Science, Japan Advanced Institute of Science and Technology, Japan, and a research scholar at the International Institute for Applied Systems Analysis, Austria. He received his B.S. in industrial engineering in 1998 from Dalian University of Technology, China. Then from the same university he received his M.S. in systems engineering in 2000. In October 2003, he received his PhD in knowledge science from Japan Advanced Institute of Science and Technology. His research interests include agent-based modeling, technology dynamics, and knowledge management. Yoshiteru NAKAMORI is a professor at the Graduate School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan. He received his B.S., M.S., and PhD degrees all in applied mathematics and physics from Kyoto University, Kyoto, Japan, in 1974, 1976, and 1979 respectively. His current research interests include systems methodology, environmental studies and agent-based simulation. He worked in Department of Applied Mathematics at Konan University from 1981 to 1991. He visited International Institute for Applied Systems Analysis as a researcher from 1984 to 1985. He was presidential advisor at JAIST from 1999 to 2000. He currently is the Dean of Graduate School of Knowledge Science at JAIST from 2002.