A Military Surge in Afghanistan -- Modeling a Focused Security Effort
Date of Award
Summer 2009
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computational Modeling & Simulation Engineering
Program/Concentration
Modeling and Simulation
Committee Director
John Sokolowski
Committee Member
Catherine Banks
Committee Member
Michael Bailey
Call Number for Print
Special Collections LD4331.E58 M67 2009
Abstract
In October of 2001, the United States invaded Afghanistan and ousted the Taliban government. Since their overthrow, the Taliban has pieced together and waged an insurgency to retake Afghanistan. That insurgency has gained momentum and grown in strength while the United States I NA TO counterinsurgency effort has decreased in size to about 55,000 troops in 2007. Many factors contribute to the insurgency inside of Afghanistan, from ethnic to economic factors to the failure of the central government. This research used a study of the current state of affairs in Afghanistan and agent-based modeling to determine whether a military troop surge emphasizing a Focused Security Effort could be successful in battling the growing insurgency within Afghanistan.
An agent-based model was created and validated against the current strategy and situation on the ground in Afghanistan. Three experiments were then conducted representing surges of fifty percent, two hundred percent, and four hundred percent. The results indicate that a surge of two hundred percent or four hundred percent of the current size force in Afghanistan would be successful at reducing the size of the insurgency, but a surge of only fifty percent (50,000 more troops) would not yield results different than current results using the current strategy. These model results provide insight into the potential success of various sized troop surges in Afghanistan that implement a Focused Security Effort.
Rights
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DOI
10.25777/zr54-en07
Recommended Citation
Morrow, Brent D..
"A Military Surge in Afghanistan -- Modeling a Focused Security Effort"
(2009). Master of Science (MS), Thesis, Computational Modeling & Simulation Engineering, Old Dominion University, DOI: 10.25777/zr54-en07
https://digitalcommons.odu.edu/msve_etds/76