Exploring Predictability in Armed Conflict

David E. McCullin
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Abstract

Abstract:This article proposes a direct relationship between complexity and predictability in a two-agent noncooperative zero-sum game (2XZSG). The author explores this proposition by modeling armed conflict as a 2XZSG and using case studies in armed conflict as the dataset for the systematic literature review. This article uses a multiple case study approach, systematically reviewing 13 case studies in armed conflict that yielded 156 references identifying four themes—environmental, human resource, operational, and supply chain constraints—that demonstrate a direct relationship between complexity and predictability. The data focuses on decisions made in particular battles and campaigns as well as the constraints that impacted decision making. By identifying those decisions and constraints, four themes emerged. These four themes are an innovation as a potential addendum to the war gaming methodology in the military decision making process (MDMP).
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探索武装冲突中的可预测性
摘要:本文提出了两智能体非合作零和博弈(2XZSG)中复杂性与可预测性之间的直接关系。作者通过将武装冲突建模为2XZSG,并使用武装冲突案例研究作为系统文献综述的数据集来探讨这一命题。本文采用了多案例研究方法,系统地回顾了武装冲突中的13个案例研究,共产生156篇参考文献,确定了环境、人力资源、运营和供应链约束四个主题,证明了复杂性与可预测性之间的直接关系。这些数据集中于在特定战役和战役中做出的决策,以及影响决策的制约因素。通过确定这些决定和制约因素,出现了四个主题。这四个主题是一种创新,作为军事决策过程(MDMP)中战争游戏方法的潜在补充。
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