Classification of collective adaptive situations in cross cultural game by fuzzy c-means clustering

This paper proposes a classification method on the fuzzy c-means clustering to specify a collective adaptive situation. To evaluate its effectiveness, we apply the fuzzy c-means clustering into the experimental data of both the human subject experiments and agent-based simulations in Barnga game and have revealed that the classified results of both of the experimental data are close to each other, indicating that the proposed classification method is useful to specify a collective adaptive situation.