Rebellion on sugarscape: Case studies for greed and grievance theory of civil conflicts using agent-bBased models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Public policy making has direct and indirect impacts on social behaviors. However, using system dynamics model alone to assess these impacts fails to consider the interactions among social elements, thus may produce doubtful conclusions. In this study, we examine the political science theory of greed and grievance in modeling civil conflicts. An agent-based model is built based on an existing rebellion model in Netlogo. The modifications and improvements in our model are elaborated. Several case studies are used to demonstrate the use of our model for investigating emergent phenomena and implications of governmental policies.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling and Prediction - 4th International Conference, SBP 2011, Proceedings
Pages333-340
Number of pages8
DOIs
StatePublished - Mar 14 2011
Event4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2011 - College Park, MD, United States
Duration: Mar 29 2011Mar 31 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6589 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2011
CountryUnited States
CityCollege Park, MD
Period3/29/113/31/11

Keywords

  • agent-based model
  • civil conflicts
  • sensitivity analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Pan, R. (2011). Rebellion on sugarscape: Case studies for greed and grievance theory of civil conflicts using agent-bBased models. In Social Computing, Behavioral-Cultural Modeling and Prediction - 4th International Conference, SBP 2011, Proceedings (pp. 333-340). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6589 LNCS). https://doi.org/10.1007/978-3-642-19656-0_46