Please use this identifier to cite or link to this item:
Title: Modeling civil violence: An evolutionary multi-agent, game theoretic approach
Authors: Goh, C.K.
Quek, H.Y.
Tan, K.C. 
Abbass, H.A.
Issue Date: 2006
Citation: Goh, C.K.,Quek, H.Y.,Tan, K.C.,Abbass, H.A. (2006). Modeling civil violence: An evolutionary multi-agent, game theoretic approach. 2006 IEEE Congress on Evolutionary Computation, CEC 2006 : 1624-1631. ScholarBank@NUS Repository.
Abstract: This paper focuses on the design and development of a spatial Evolutionary Multi-Agent Social Network (EMAS) to investigate the underlying emergent macroscopic behavioral dynamics of civil violence, as a result of the microscopic local movement and game-theoretic interactions between multiple goal-oriented agents. Agents are modeled from multi-disciplinary perspectives and their behavioral strategies are evolved over time via collective co-evolution and independent learning. Experimental results reveal the onset of fascinating global emergent phenomenon as well as interesting patterns of group movement and behavioral development. Analysis of the results provides new insights into the intricate behavioral dynamics that arises in civil upheavals. Collectively, EMAS serves as a vehicle to facilitate the behavioral development of autonomous agents as well as a platform to verify the effectiveness of various violence management policies which is paramount to the mitigation of casualties. © 2006 IEEE.
Source Title: 2006 IEEE Congress on Evolutionary Computation, CEC 2006
ISBN: 0780394879
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Nov 24, 2022

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.