Learning to Explain Anger: An Adaptive Humanoid-Agent for Cyber-Aggression

Fakhra Jabeen; Jan Treur; Charlotte Gerritsen

doi:10.1007/978-3-030-33792-6_41

Learning to Explain Anger: An Adaptive Humanoid-Agent for Cyber-Aggression

Fakhra Jabeen, Jan Treur, Charlotte Gerritsen

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

Abstract

Social media is one of the widely used channels for interpersonal communication, to express feelings and thoughts through certain feedback. Blogs or ecommerce websites share plenty of such information, which serves as a valuable asset, and is also used to make predictions. However, negative feedback can ruin the essence of such platforms, causing frustration among peers. This paper presents a computational network model of a humanoid agent for getting inappropriate feed-backs, who learns to react with a level of competence over aggression due to feedback. Tuning and evaluation of the model is done by performing simulation experiments based on public tweets and mathematical analysis respectively. This model can serve as an input to detect and handle aggression.

Original language	English
Title of host publication	PRIMA 2019: Principles and Practice of Multi-Agent Systems
Subtitle of host publication	22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings
Editors	Matteo Baldoni, Mehdi Dastani, Beishui Liao, Yuko Sakurai, Rym Zalila Wenkstern
Publisher	Springer
Pages	559-567
Number of pages	9
ISBN (Electronic)	9783030337926
ISBN (Print)	9783030337919
DOIs	https://doi.org/10.1007/978-3-030-33792-6_41
Publication status	Published - 2019
Event	22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019 - Turin, Italy Duration: 28 Oct 2019 → 31 Oct 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11873 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019
Country	Italy
City	Turin
Period	28/10/19 → 31/10/19

Keywords

Agent based modelling
Computational model
Cyber-aggression

Access to Document

10.1007/978-3-030-33792-6_41

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Cite this

Jabeen, F., Treur, J., & Gerritsen, C. (2019). Learning to Explain Anger: An Adaptive Humanoid-Agent for Cyber-Aggression. In M. Baldoni, M. Dastani, B. Liao, Y. Sakurai, & R. Z. Wenkstern (Eds.), PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings (pp. 559-567). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11873 LNAI). Springer. https://doi.org/10.1007/978-3-030-33792-6_41

Jabeen, Fakhra ; Treur, Jan ; Gerritsen, Charlotte. / Learning to Explain Anger : An Adaptive Humanoid-Agent for Cyber-Aggression. PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings. editor / Matteo Baldoni ; Mehdi Dastani ; Beishui Liao ; Yuko Sakurai ; Rym Zalila Wenkstern. Springer, 2019. pp. 559-567 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Social media is one of the widely used channels for interpersonal communication, to express feelings and thoughts through certain feedback. Blogs or ecommerce websites share plenty of such information, which serves as a valuable asset, and is also used to make predictions. However, negative feedback can ruin the essence of such platforms, causing frustration among peers. This paper presents a computational network model of a humanoid agent for getting inappropriate feed-backs, who learns to react with a level of competence over aggression due to feedback. Tuning and evaluation of the model is done by performing simulation experiments based on public tweets and mathematical analysis respectively. This model can serve as an input to detect and handle aggression.",

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Jabeen, F , Treur, J & Gerritsen, C 2019, Learning to Explain Anger: An Adaptive Humanoid-Agent for Cyber-Aggression. in M Baldoni, M Dastani, B Liao, Y Sakurai & RZ Wenkstern (eds), PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11873 LNAI, Springer, pp. 559-567, 22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019, Turin, Italy, 28/10/19. https://doi.org/10.1007/978-3-030-33792-6_41

Learning to Explain Anger : An Adaptive Humanoid-Agent for Cyber-Aggression. / Jabeen, Fakhra ; Treur, Jan ; Gerritsen, Charlotte.

PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings. ed. / Matteo Baldoni; Mehdi Dastani; Beishui Liao; Yuko Sakurai; Rym Zalila Wenkstern. Springer, 2019. p. 559-567 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11873 LNAI).

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

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Jabeen F , Treur J , Gerritsen C. Learning to Explain Anger: An Adaptive Humanoid-Agent for Cyber-Aggression. In Baldoni M, Dastani M, Liao B, Sakurai Y, Wenkstern RZ, editors, PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings. Springer. 2019. p. 559-567. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-33792-6_41