Evolutionary Game Theoretic Approach for Modeling Civil Violence

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 an...

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Bibliographic Details
Published in:IEEE transactions on evolutionary computation 2009-08, Vol.13 (4), p.780-800
Main Authors: Han-Yang Quek, Kay Chen Tan, Abbass, H.A.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Australia
Autonomous
Civil violence
Computational modeling
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Dynamic tests
Dynamics
Emergence
Emergent phenomena
evolution
Evolutionary
Evolutionary computation
Exact sciences and technology
Game theory
Humans
Information technology
Microscopy
multiagent
Networks
Operational research and scientific management
Operational research. Management science
social network
Social network services
Software
Violence
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Summary: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.
ISSN:1089-778X
1941-0026
DOI:10.1109/TEVC.2009.2019826