Challenges in Modelling Social Conflicts: Grappling with Polysemy
AbstractThis discussion paper originates from the preceding annual workshop of the Special Interest Group on Social Conflict and Social Simulation (SIG-SCSS) of the ESSA. The workshop especially focused on the need to identify and examine challenges to modeling social conflicts. It turned out that the polysemous nature of social conflicts makes it very difficult to get a grasp of their complexity. In order to deal with this complexity, various dimensions have to be taken into consideration, beginning with the question of how to identify a conflict in the first place. Other dimensions include the relation of conflict and rationality and how to include non-rational factors into conflict models. This involves a conception of organized action. Finally, guiding principles for model development are being discussed. We would like to invite readers of the Journal of Artificial Societies and Social Simulation to 'sow the seeds' of this debate.
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Bibliographic InfoArticle provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.
Volume (Year): 14 (2011)
Issue (Month): 3 ()
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Social Conflicts; Conflict Models; Modelling Challenges; Polysemy; Rationality; Emotions;
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- Samuel Thiriot & Jean-Daniel Kant, 2008. "Using Associative Networks To Represent Adopters' Beliefs In A Multiagent Model Of Innovation Diffusion," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 261-272.
- Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 2.
- Guillaume Deffuant & Frederic Amblard & G�rard Weisbuch, 2002. "How Can Extremism Prevail? a Study Based on the Relative Agreement Interaction Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1.
- Thierry Kirat & André Torre & Armelle Caron & Anastasia Aviles & Christine Lefranc & Marina Galman & Romain Melot & Cécile Rialland & Maria-Isabel Salazar, 2004. "Modalités d'émergence et procédures de résolution des conflits d'usage autour de l'espace et des ressources naturelles. Analyse dans les espaces ruraux," Post-Print halshs-00004202, HAL.
- Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702766.
- Lynne Hamill, 2010. "Agent-Based Modelling: The Next 15 Years," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(4), pages 7.
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