Please use this identifier to cite or link to this item: https://doi.org/10.1109/TEVC.2009.2019826
DC FieldValue
dc.titleEvolutionary game theoretic approach for modeling civil violence
dc.contributor.authorQuek, H.-Y.
dc.contributor.authorTan, K.C.
dc.contributor.authorAbbass, H.A.
dc.date.accessioned2014-04-24T07:21:10Z
dc.date.available2014-04-24T07:21:10Z
dc.date.issued2009
dc.identifier.citationQuek, 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
dc.identifier.issn1089778X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/50918
dc.description.abstractThis 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TEVC.2009.2019826
dc.sourceScopus
dc.subjectCivil violence
dc.subjectEvolution
dc.subjectGame theory
dc.subjectMultiagent
dc.subjectSocial network
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TEVC.2009.2019826
dc.description.sourcetitleIEEE Transactions on Evolutionary Computation
dc.description.volume13
dc.description.issue4
dc.description.page780-800
dc.description.codenITEVF
dc.identifier.isiut000269155700009
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

20
checked on Oct 18, 2019

WEB OF SCIENCETM
Citations

10
checked on Oct 11, 2019

Page view(s)

79
checked on Oct 13, 2019

Google ScholarTM

Check

Altmetric


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