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

Chaiwat Thawiworadilok; Mohsen Jafari Songhori; Takao Terano

doi:10.1007/978-3-319-26350-2_49

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 proceeding › Chapter › Academic › peer-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 language	English
Title of host publication	AI 2015: Advances in Artificial Intelligence
Subtitle of host publication	28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings
Editors	Bernhard Pfahringer, Jochen Renz
Place of Publication	Cham
Publisher	Springer
Pages	554-558
Number of pages	5
ISBN (Electronic)	978-3-319-26350-2
ISBN (Print)	978-3-319-26349-6
DOIs	https://doi.org/10.1007/978-3-319-26350-2_49
Publication status	Published - 2015
Event	28th Australasian Joint Conference on Advances in Artificial Intelligence, AI 2015 - Canberra, Australia Duration: 30 Nov 2015 → 4 Dec 2015 Conference number: 28

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9457
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer

Conference

Conference	28th Australasian Joint Conference on Advances in Artificial Intelligence, AI 2015
Abbreviated title	AI
Country/Territory	Australia
City	Canberra
Period	30/11/15 → 4/12/15

Keywords

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

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10.1007/978-3-319-26350-2_49

Cite this

Thawiworadilok, C., Songhori, M. J., & Terano, T. (2015). Investigating Japanese Ijime (Bullying) behavior using agent-based and system dynamics models. In B. Pfahringer, & J. Renz (Eds.), AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings (pp. 554-558). (Lecture Notes in Computer Science; Vol. 9457), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-319-26350-2_49

Thawiworadilok, Chaiwat ; Songhori, Mohsen Jafari ; Terano, Takao. / Investigating Japanese Ijime (Bullying) behavior using agent-based and system dynamics models. AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings. editor / Bernhard Pfahringer ; Jochen Renz. Cham : Springer, 2015. pp. 554-558 (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence).

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title = "Investigating Japanese Ijime (Bullying) behavior using agent-based and system dynamics models",

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.",

keywords = "Agent-based modeling, Bully, Ijime, Iterated prisoner{\textquoteright}s dilemma, System Dynamics",

author = "Chaiwat Thawiworadilok and Songhori, {Mohsen Jafari} and Takao Terano",

year = "2015",

doi = "10.1007/978-3-319-26350-2_49",

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Thawiworadilok, C, Songhori, MJ & Terano, T 2015, Investigating Japanese Ijime (Bullying) behavior using agent-based and system dynamics models. in B Pfahringer & J Renz (eds), AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings. Lecture Notes in Computer Science, vol. 9457, Lecture Notes in Artificial Intelligence, Springer, Cham, pp. 554-558, 28th Australasian Joint Conference on Advances in Artificial Intelligence, AI 2015, Canberra, Australian Capital Territory, Australia, 30/11/15. https://doi.org/10.1007/978-3-319-26350-2_49

Investigating Japanese Ijime (Bullying) behavior using agent-based and system dynamics models. / Thawiworadilok, Chaiwat; Songhori, Mohsen Jafari; Terano, Takao.

AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings. ed. / Bernhard Pfahringer; Jochen Renz. Cham : Springer, 2015. p. 554-558 (Lecture Notes in Computer Science; Vol. 9457), (Lecture Notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Investigating Japanese Ijime (Bullying) behavior using agent-based and system dynamics models

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AU - Songhori, Mohsen Jafari

AU - Terano, Takao

N1 - Conference code: 28

PY - 2015

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N2 - 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.

AB - 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.

KW - Agent-based modeling

KW - Bully

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KW - Iterated prisoner’s dilemma

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M3 - Chapter

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EP - 558

BT - AI 2015: Advances in Artificial Intelligence

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ER -

Thawiworadilok C, Songhori MJ, Terano T. Investigating Japanese Ijime (Bullying) behavior using agent-based and system dynamics models. In Pfahringer B, Renz J, editors, AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings. Cham: Springer. 2015. p. 554-558. (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-319-26350-2_49

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

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