Date of Award
3-6-2009
Document Type
Thesis
Degree Name
Master of Science in Engineering Management
Department
Department of Systems Engineering and Management
First Advisor
Michael L. Shelley, PhD
Abstract
Since the recent focus on the Global War on Terror, both military and civilian theorists have begun to “relearn” the intricacies of counterinsurgency warfare. We face difficult challenges when confronting non-state actors that tend to attack in the time between conventional battles and the establishment of stable governments. This research compares and contrasts current counterinsurgency strategies (Hearts and Minds and Cost Benefit Theory) by applying System Dynamics to provide insight into the influences and emergent behavior patterns of counterinsurgency systems. The information gained from the development of the models and from their simulation behaviors is used to construct a System Dynamics model of a Hybrid Counterinsurgency Strategy that combines the influential elements and behaviors from each of the previous models to obtain a more comprehensive model of the counterinsurgency system. This process yields behavior patterns that suggest that security operations, critical during the short-term, are key to disrupting insurgent organizational mechanisms that strongly influence the population’s support for the host government and the coalition. The models also demonstrate the strength of the influence of information operations on the counterinsurgency system. Finally, the construction of the models and simulation behaviors propose that harvesting host nation capacity throughout the counterinsurgency is the most influential factor for maintaining long-term stability.
AFIT Designator
AFIT-GEM-ENV-09-M10
DTIC Accession Number
ADA502455
Recommended Citation
Maldonado, Ferdinand, "The Hybrid Counterinsurgency Strategy: System Dynamics Employed to Develop a Behavioral Model of Joint Strategy" (2009). Theses and Dissertations. 2497.
https://scholar.afit.edu/etd/2497
Included in
Defense and Security Studies Commons, Organizational Behavior and Theory Commons, Systems Engineering Commons