Please use this identifier to cite or link to this item: https://doi.org/10.1109/TEVC.2009.2019826
Title: Evolutionary game theoretic approach for modeling civil violence
Authors: Quek, H.-Y.
Tan, K.C. 
Abbass, H.A.
Keywords: Civil violence
Evolution
Game theory
Multiagent
Social network
Issue Date: 2009
Source: Quek, H.-Y., Tan, K.C., Abbass, H.A. (2009). Evolutionary game theoretic approach for modeling civil violence. IEEE Transactions on Evolutionary Computation 13 (4) : 780-800. ScholarBank@NUS Repository. https://doi.org/10.1109/TEVC.2009.2019826
Abstract: This paper focuses on the development of a spatial evolutionary multiagent social network for studying the macroscopic-behavioral dynamics of civil violence, as a result of microscopic game-theoretic interactions between goal-oriented agents. Agents are modeled from multidisciplinary perspectives and their strategies are evolved over time via collective coevolution and independent learning. Spatial and temporal simulation results reveal fascinating global emergence phenomena and interesting patterns of group movement and autonomous behavioral development. Extensions of differing complexity are also used to investigate the impact of various decision parameters on the outcome of unrest. Analysis of the results provides new insights into the intricate dynamics of civil upheavals and serves as an avenue to gain a more holistic understanding of the fundamental nature of civil violence. © 2009 IEEE.
Source Title: IEEE Transactions on Evolutionary Computation
URI: http://scholarbank.nus.edu.sg/handle/10635/50918
ISSN: 1089778X
DOI: 10.1109/TEVC.2009.2019826
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