Participant-type simulation to understand the structure of bullying

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Recently, a bullying problem has transformed from fixed situation which a particular bully attacks to a particular victim with having negative attributes into mobilized one which a victim can become a bully depending on circumstances. It is difficult for every student to foresee when it can be the victim. Therefore, the students have changed the interaction and communication style with others to "flat," in the sense that they are not best friends each other but avoid becoming conflicting. They have to be always approved from peer classmates, to establish their positions in the class. In order to clarify the recent bullying phenomena arising on such "flat" communication, we proposed an artificial class model composed of agents that interact with others using formal sense of values. As a result, we observed several bullying features among the agents. Especially, conflict-avoiding feature proper to the "flat" communication is observed in spite of not programming it in the artificial class model. Furthermore, a bullying feature yielded by power-law distribution that makes teachers be difficult to find bullying phenomena is also observed.