いじめを抑制するエージェントの行動特性に関する分析

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2018/03/01

タイトル(英語): Analysis on Behavioral Characteristics of Agents to Suppress Bullying

著者名: 井手　広康（愛知県立大学 大学院 情報科学研究科），奥田　隆史（愛知県立大学 情報科学部 情報科学科）

著者名(英語): Hiroyasu Ide (Graduate School of Information Science and Technology, Aichi Prefectural University), Takashi Okuda (Department of Information Science and Technology, Faculty of Information Science and Technology, Aichi Prefectural University)

キーワード: いじめ，行動特性，マルチエージェント・シミュレーション，artisoc　　bullying，behavioral characteristics，multi-agent simulation，artisoc

要約(英語): The number of bullying recognition at school is increasing every year, and it is a very serious problem in Japan. It is said that the cause of bullying is attributed to the fact that students have independent values in groups and they interact in a complicated way. In this research, we added some special agents into the agent-based model of bullying, and verified what behavioral characteristics are most effective in suppressing bullying by using multi-agent simulation. As a result, it was found that the behavioral characteristic “take the tuning action to an agent with a small number of selected values when the number of bullying candidates exceeds the threshold value, and take the tuning action to an agent who is a bullying candidate when the number of bullying candidates is less than or equal to the threshold value” of special agents is most effective in suppressing bullying.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.138 No.3 （2018） 特集：新たなセンサネットワーク社会を拓くIoT/M2M情報通信技術

本誌掲載ページ: 228-233 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/138/3/138_228/_article/-char/ja/