Investigating Japanese Ijime (Bullying) behavior using agent-based and system dynamics models

Chaiwat Thawiworadilok, Mohsen Jafari Songhori, Takao Terano

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    1 Citation (Scopus)

    Abstract

    In the recent years, observing Ijime (i.e. Japanese bully) among Japanese students has been a growing concern. To understand the effect of this behavior in a detail level, we build an Agent-Based Model ({ABM}) and conduct a set of experiments. In the model, interactions occur between victim and bully as Prisoner Dilemma game. A System Dynamics model is also built and simulated to verify robustness and examine effects of the assumptions in {ABM} model. The results indicate that students can attend higher social standing by being not cooperative. As such, if one is victim, it is recommended not to comply with the bully. In the case of being bully, one needs to take the role seriously. Thus, by encouraging victim to be aggressive toward bully, the effect of Ijime can be alleviated.
    Original languageEnglish
    Title of host publicationAI 2015: Advances in Artificial Intelligence
    Subtitle of host publication28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings
    EditorsBernhard Pfahringer, Jochen Renz
    Place of PublicationCham
    PublisherSpringer
    Pages554-558
    Number of pages5
    ISBN (Electronic)978-3-319-26350-2
    ISBN (Print)978-3-319-26349-6
    DOIs
    Publication statusPublished - 2015
    Event28th Australasian Joint Conference on Advances in Artificial Intelligence, AI 2015 - Canberra, Australia
    Duration: 30 Nov 20154 Dec 2015
    Conference number: 28

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume9457
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349
    NameLecture Notes in Artificial Intelligence
    PublisherSpringer

    Conference

    Conference28th Australasian Joint Conference on Advances in Artificial Intelligence, AI 2015
    Abbreviated titleAI
    CountryAustralia
    CityCanberra
    Period30/11/154/12/15

    Keywords

    • Agent-based modeling
    • Bully
    • Ijime
    • Iterated prisoner’s dilemma
    • System Dynamics

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