Presentation + Paper
6 June 2024 Quantifying decision complexity in IADS operations
Author Affiliations +
Abstract
Decision Advantage is a goal in current and future military operations. Achieving such an advantage can be done by degrading adversaries’ decision-making ability through imposition of complexity into the decision problems they have to make. This paper describes mathematical techniques for quantifying decision complexity in Integrated Air Defense Systems (IADS). The methods are based on graph properties derived from the defender’s IADS’ System of Systems description and the attacker’s Course of Action (COA) plans. Multiple plans can be compared quantitatively with respect to the decision complexity they impose on the defender. using metrics that are semantically meaningful to planners. The metrics developed are able to expose subtle ways that COAs impose complexity on an adversary, that may not be obvious to an operational planner at first glance.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lucas Sheldon, Elizabeth Hou, Evan Bouillet, George Cybenko, and Jessica Dorismond "Quantifying decision complexity in IADS operations", Proc. SPIE 13058, Disruptive Technologies in Information Sciences VIII, 130580I (6 June 2024); https://doi.org/10.1117/12.3013534
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KEYWORDS
Radar

Decision making

Missiles

Defense systems

Command and control

Modeling

Warfare

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