Evolutionary game theoretic approach for modeling civil violence

Authors:
Han-Yang Quek;Kay Chen Tan;Hussein A. Abbass
Affiliations:
Department of Electrical and Computer Engineering, National University of Singapore, Singapore;Department of Electrical and Computer Engineering, National University of Singapore, Singapore;School of Information Technology and Electrical Engineering, Australian Defense Force Academy, University of New South Wales, Canberra, ACT, Australia
Venue:
IEEE Transactions on Evolutionary Computation
Year:
2009

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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.