Light Models of Civilian Support in Blue-Red Operations

Abstract : Computationally simple, yet informative, light agent-based models are useful understanding mechanisms for complex phenomena lacking theoretical grounding. A light model, as a simplified set of attributes and interactions, can generate insight and be credible to specific audiences. Embedded within large force-on-force simulations a light model of civilian support could offer command-level decision makers a lens for viewing (and mitigating) the effects of direct action within highly populated areas of operation. This investigation utilizes Matlab as a prototyping language to construct a light agent-based model and sandbox for developing and testing mathematical representations of civilian support during Blue-Red operations. The model minimalistically produces fluctuating levels of commitment, fear, and anger towards Blue or Red force in response to firing actions. The results of several experimental model runs are presented categorized by different levels of targeting effectiveness and accuracy.

[1]  Keven G. Ruby,et al.  Occupation Dynamics : Contesting Hearts and Minds , 2005 .

[2]  Terence J. Daly,et al.  Counterinsurgency Warfare: Theory and Practice , 2006 .

[3]  Hiroshi Sato,et al.  Multi-agent simulation of counterinsurgency , 2011, SICE Annual Conference 2011.

[4]  R. Coupland,et al.  Mortality associated with use of weapons in armed conflicts, wartime atrocities, and civilian mass shootings: literature review , 1999, BMJ.

[5]  M. Spagat,et al.  The Dirty War Index: A Public Health and Human Rights Tool for Examining and Monitoring Armed Conflict Outcomes , 2008, PLoS medicine.

[6]  Daniel Lafond,et al.  Complex decision making experimental platform (CODEM): A counter-insurgency scenario , 2011, 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).

[7]  D. Scott Bennett,et al.  Governments, Civilians, and the Evolution of Insurgency: Modeling the Early Dynamics of Insurgencies , 2008, J. Artif. Soc. Soc. Simul..

[8]  Dan Miodownik,et al.  REsCape: an Agent-Based Framework for Modeling Resources, Ethnicity, and Conflict , 2008, J. Artif. Soc. Soc. Simul..

[9]  Jim Baker,et al.  Systems Thinking and Counterinsurgencies , 2006, The US Army War College Quarterly: Parameters.

[10]  Kathleen M. Carley,et al.  The Role of Dynamic-Network Multi-Agent Models of Socio-Political Systems in Policy , 2007, SSRN Electronic Journal.

[11]  Michael J. McGuire.  Modeling the Effects of Direct Action Operations on an Insurgent Population , 2008 .

[12]  Joshua M Epstein,et al.  Modeling civil violence: An agent-based computational approach , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Jeffrey A. McNeil.  A Cognitive Approach to COIN: Countering Dangerous Beliefs , 2010 .

[14]  Scott Wheeler.  It Pays to Be Popular: a Study of Civilian Assistance and Guerilla Warfare , 2005, J. Artif. Soc. Soc. Simul..