Applied Game Theory? Computational Techniques to Operationalize Complex Games

Simple item page
dc.contributor.advisorEl-Amine, Hadi
dc.contributor.authorPerry, Michael Macgregor
dc.creatorPerry, Michael Macgregor
dc.date.accessioned2022-08-03T17:13:08Z
dc.date.available2022-08-03T17:13:08Z
dc.date.issued2021
dc.description.abstractGame theory, the mathematical study of strategic interaction, is often criticized as lacking practical application. Such criticism has even come from its most prominent theorists. This dissertation takes the position that these critiques are largely a result of the complexities inherent in game-theoretic analysis, which in turn have relegated most of the literature to the study of over-simplified models, models that are too small in scale for practical application, or both. In light of this, cutting-edge techniques drawn from the operations research literature such as efficient sample allocation, response surface methodologies, robust analysis, and nonconvex binary optimization will be integrated into realistic game theory models. These and other modeling techniques have been slow to integrate into the game theory literature, likely due to the unique challenges games pose as multi-agent optimization problems, and this dissertation thus represents a step forward in operationalizing complex games. Realistic examples will be drawn from maritime law enforcement and it will be seen that the models presented here have the ability to both explain observed phenomena and contribute to policy development.
dc.format.extent167 pages
dc.identifier.urihttps://hdl.handle.net/1920/12918
dc.language.isoen
dc.rightsCopyright 2021 Michael Macgregor Perry
dc.subjectOperations research
dc.subjectEconomics
dc.subjectAdversarial risk analysis
dc.subjectGame theory
dc.subjectGlobal optimization
dc.subjectMaritime law enforcement
dc.subjectResponse surface methodology
dc.subjectStatistical selection
dc.titleApplied Game Theory? Computational Techniques to Operationalize Complex Games
dc.typeDissertation
thesis.degree.disciplineSystems Engineering and Operations Research
thesis.degree.grantorGeorge Mason University
thesis.degree.levelPh.D.
thesis.degree.namePh.D. in Systems Engineering and Operations Research

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Perry_gmu_0883E_12689.pdf
Size:
1.28 MB
Format:
Adobe Portable Document Format
Download

Collections

College of Engineering and Computing