量化国际防空系统运行中的决策复杂性

Lucas Sheldon, Elizabeth Hou, Evan Bouillet, George Cybenko, Jessica Dorismond
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引用次数: 0

摘要

决策优势是当前和未来军事行动的一个目标。要获得这种优势,可以通过在对手必须解决的决策问题中加入复杂性来削弱其决策能力。本文介绍了量化综合防空系统(IADS)决策复杂性的数学技术。这些方法基于从防御方的 IADS 系统描述和攻击方的行动方案 (COA) 计划中得出的图属性。通过使用对计划人员有语义意义的指标,可以定量比较多个计划对防御方造成的决策复杂性。所开发的度量标准能够揭示出 COA 对敌方造成复杂性的微妙方式,而这些方式对于作战计划人员来说可能并不是一眼就能看出来的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying decision complexity in IADS operations
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.
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