Electrical & Computer Engineering, Department of
First Advisor
Qing Hui
Date of this Version
5-2023
Document Type
Article
Citation
@phdthesis{allen_2023, title={Modeling and Visualization of Competing Escalation Dynamics: A Multilayer Multiagent Network Approach}, author={Allen, Josh}, year={2023}}
Abstract
Recent advances in military technology, such as hypersonic missiles, which can travel at more than five times the speed of sound and descend quickly into the atmosphere, give world nuclear superpowers a new edge. These advances up the game for nuclear superpowers with an extremely rapid, intense burst of military striking capability to secure upfront gains before encountering potentially overwhelming military confrontation. However, this so-called fait accompli has not been systematically studied by the United States in the perspective of the escalation philosophies of nuclear power competitors, or the mathematical modeling and visualization of multi-modal escalation dynamics. This gap may hamper any further command and control for nuclear deployment and decision making for strategic planning in preparation of such scenarios. This thesis aims to bridge the gap by implementing a network approach to model the escalation dynamics among competing nuclear superpowers.
Comments
A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfilment of Requirements For the Degree of Master of Science, Major: Electrical Engineering, Under the Supervision of Professor Qing Hui. Lincoln, Nebraska: May, 2023
Copyright © 2023 Josh Allen