Game-theoretic agent-based modelling of micro-level conflict: Evidence from the ISIS-Kurdish war.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 03 07 2023
accepted: 03 01 2024
medline: 5 6 2024
pubmed: 5 6 2024
entrez: 5 6 2024
Statut: epublish

Résumé

This article delves into the dynamics of a dyadic political violence case study in Rojava, Northern Syria, focusing on the conflict between Kurdish rebels and ISIS from January 1, 2017, to December 31, 2019. We employ agent-based modelling and a formalisation of the conflict as an Iterated Prisoner's Dilemma game. The study provides a nuanced understanding of conflict dynamics in a highly volatile region, focusing on microdynamics of an intense dyadic strategic interaction between two near-equally- powered actors. The choice of using a model based on the Iterated Prisoner's Dilemma, though a classical approach, offers substantial insights due to its ability to model dyadic, equally-matched strategic interactions in conflict scenarios effectively. The investigation primarily reveals that shifts in territorial control are more critical than geographical or temporal factors in determining the conflict's course. Further, the study observes that the conflict is characterised by periods of predominantly one-sided violence. This pattern underscores that the distribution of attacks, and target choices are a more telling indicator of the conflict nature than specific behavioural patterns of the actors involved. Such a conclusion aligns with the strategic implications of the underlying model, which emphasises the outcome of interactions based on differing aggression levels. This research not only sheds light on the conflict in Rojava but also reaffirms the relevance of this type of game-theoretical approach in contemporary conflict analysis.

Identifiants

pubmed: 38837939
doi: 10.1371/journal.pone.0297483
pii: PONE-D-23-18247
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0297483

Informations de copyright

Copyright: © 2024 Macmillan-Scott et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Olivia Macmillan-Scott (O)

Department of Computer Science, University College London, London, United Kingdom.

Akin Ünver (A)

Department of International Relations, Ozyegin University, Istanbul, Turkey.

Mirco Musolesi (M)

Department of Computer Science, University College London, London, United Kingdom.
The Alan Turing Institute, London, United Kingdom.
Department of Computer Science and Engineering, University of Bologna, Bologna, Italy.

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