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dc.contributor.advisorBuss, Arnold H.
dc.contributor.advisorSanchez, Susan M.
dc.contributor.authorWakeman, Clifford C.
dc.date12-Jun
dc.date.accessioned2012-07-30T23:16:10Z
dc.date.available2012-07-30T23:16:10Z
dc.date.issued2012-06
dc.identifier.urihttp://hdl.handle.net/10945/7426
dc.description.abstractThe Cultural Geography (CG) Model is a low-resolution, agent-based discrete event social simulation tailored to specific operational environments. It is based on doctrine and social theory designed to represent the behavioral response of civilian populations in conflict environments. The current version of the CG Model does not represent key leader engagements (KLE), which are activities between coalition military forces and host nation civilian personnel, as means of obtaining information, influencing behavior, and building an indigenous base of support for coalition and government objectives. These capabilities are needed for additional tactical level representation of the operational environment. This research develops a simulation model using Simkit to explore the feasibility of modeling KLEs using discrete event simulation. A total of 32 dynamic input factors are varied using a 512-design point design. Second-order regression metamodels and partition tree models are developed for simulation model output responses that track numbers of engagements, numbers of times knowledge is provided, numbers of campaigns, and numbers of captures and kills, these analytical models are used to verify the proper execution of the simulation model. Summary statistics are analyzed to gain further insights about the simulation models behavior.en_US
dc.description.urihttp://archive.org/details/discreteeventsim109457426
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleDiscrete Event Simulation Modeling and Analysis of Key Leader Engagementsen_US
dc.typeThesisen_US
dc.contributor.secondreaderCaldwell, Jason C.
dc.contributor.departmentOperations Research
dc.subject.authorCultural Geographyen_US
dc.subject.authorDiscrete Event Simulationen_US
dc.subject.authorKey Leaderen_US
dc.subject.authorKey Leader Engagementen_US
dc.subject.authorSimkiten_US
dc.subject.authorNearly Orthogonal and Balanced Mixed Designen_US
dc.subject.authorSecond-order Regression Metamodelen_US
dc.subject.authorPartition Tree Modelen_US
dc.description.serviceCaptain, United States Marine Corpsen_US
etd.thesisdegree.nameMaster of Science In Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate School (U.S.)en_US


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