Host: Japan Society for Fuzzy Theory and Intelligent Informatics
Co-host: International Fuzzy Systems Association, IEEE Computational Intelligence Society Japan Chapter
In this study, we try to find a tipping-point mechanism in social diffusion phenomenon. Recently, various attempts of elucidating such a social diffusion phenomenon using the multi-agent system are being done. Fujii discovered the social diffusion phenomenon to be generated by the interaction of agents. Murata and Yagi paid their attention to the point for which the spread of the adoption action depended on initial placement method of agents. However, there was an uncertain point in the mechanism. Therefore, by computer simulations, we try to see conditions where the tipping-point can be found.
