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From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim

Authors :
Jabeen, Fakhra
Gerritsen, Charlotte
Treur, Jan
Rutkowski, Leszek
Scherer, Rafal
Korytkowski, Marcin
Pedrycz, Witold
Tadeusiewicz, Ryszard
Zurada, Jacek M.
Artificial intelligence
Business Informatica
Network Institute
Artificial Intelligence (section level)
Computer Science
Social AI
Rutkowski, Leszek
Scherer, Rafal
Korytkowski, Marcin
Pedrycz, Witold
Tadeusiewicz, Ryszard
Zurada, Jacek M.
Source :
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Proceedings, Part I, 1, 679-689, Jabeen, F, Gerritsen, C & Treur, J 2020, From Victim to Survivor : A Multilayered Adaptive Mental Network Model of a Bully Victim . in L Rutkowski, R Scherer, M Korytkowski, W Pedrycz, R Tadeusiewicz & J M Zurada (eds), Artificial Intelligence and Soft Computing : 19th International Conference, ICAISC 2020, Proceedings, Part I . vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12415 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 679-689, 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, Zakopane, Poland, 12/10/20 . https://doi.org/10.1007/978-3-030-61401-0_63, Artificial Intelligence and Soft Computing ISBN: 9783030614003, ICAISC (1)
Publication Year :
2020
Publisher :
Springer Science and Business Media Deutschland GmbH, 2020.

Abstract

Peer victimization is usually addressed with hazardous short and long term effects. Social surroundings and cyber technology act as a fertile ground for perpetrators to target victims. Fragile and lonely people are often targeted by aggressors or bullies who may make them feel like a ‘loser’. This results in their withdrawal from society and can result in suicidal or revenge thoughts. In this paper, we present a complex multi-layered adaptive mental network model based on cognitive and psychological literature. The network model is simulated for three type of victims: a) passive, b) assertive and c) ambivert using case studies. It can be used as a basis in classification and to provide support of the victims.

Details

Language :
English
ISBN :
978-3-030-61400-3
ISBNs :
9783030614003
Database :
OpenAIRE
Journal :
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Proceedings, Part I, 1, 679-689, Jabeen, F, Gerritsen, C & Treur, J 2020, From Victim to Survivor : A Multilayered Adaptive Mental Network Model of a Bully Victim . in L Rutkowski, R Scherer, M Korytkowski, W Pedrycz, R Tadeusiewicz & J M Zurada (eds), Artificial Intelligence and Soft Computing : 19th International Conference, ICAISC 2020, Proceedings, Part I . vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12415 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 679-689, 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, Zakopane, Poland, 12/10/20 . https://doi.org/10.1007/978-3-030-61401-0_63, Artificial Intelligence and Soft Computing ISBN: 9783030614003, ICAISC (1)
Accession number :
edsair.doi.dedup.....4a027fd46a8431ad815769be87587f59