Back to results

Georgia Institute of Technology

Unifying Strategic Military Force Design and Operational Warfighting: A Stochastic Game Approach

Abstract

dc:description.abstract

Military strategic investment and operational warfighting are necessarily intertwined, yet it is quite challenging to integrate these two levels analytically. In this thesis, we provide a framework to unify these levels through stochastic games and a force design model. We start with the operational level, where we exploit the structure of military games to construct a tractable representation of the large-scale problem. We develop the campaign stochastic game (CSG), a two-player, discounted, zero-sum stochastic game model for dynamic operational planning in military campaigns. Then, at the strategic level, we use this representation to evaluate force designs directly in the operational contexts where they may be employed in a future global landscape. Together, the thesis represents an original methodology to integrate military strategic and operational decision making.

Degree

thesis:*
Level thesis:degree_level
Doctoral
Department dc:contributor.department
Industrial and Systems Engineering
Grantor dc:publisher
Georgia Institute of Technology
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • McCarthy, Joseph
Advisors dc:contributor.advisor
  • Dahan, Mathieu
  • White, Chelsea C., III
Committee members dc:contributor.committeemember
  • Goldsman, David
  • Muthukumar, Vidya
  • Steimle, Lauren
  • Wade, Brian

Subjects

dc:subject × 4

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1853/75297
OAI identifier oai:identifier
oai:repository.gatech.edu:1853/75297

Chain of custody

source
Harvested from
Georgia Tech
Base URL
repository.gatech.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

McCarthy, Joseph. Unifying Strategic Military Force Design and Operational Warfighting: A Stochastic Game Approach. Doctoral thesis, Georgia Institute of Technology, 2024. https://hdl.handle.net/1853/75297