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Tensor-Centric Warfare II: Entropic Uncertainty Modeling

机译:张量为中心的战争II:熵不确定性建模

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In the first paper of the tensor-centric warfare (TCW) series [1] , we proposed a tensor model of combat generalizing earlier Lanchester-type systems with a particular emphasis on contemporary military thinking, including the distributed C4ISR system (Command, Control, Communications, Computing, Intelligence, Surveillance and Reconnaissance). In the present paper, we extend this initial tensor combat model with entropic Lie-derivative machinery in order to capture some aspects of this deep uncertainty, while, in the process, formalizing into our model military notion of symmetry and asymmetry in warfare as a commutator , also known as a Lie bracket. In doing so, we have sought to shift the question from the prediction of outcomes of combat, upon which previous combat models such as the Lanchester-type equations have been typically constructed, towards determining the uncertainty outcomes, using a rigorous analytical basis.
机译:在以张量为中心的战争(TCW)系列的第一篇论文[1]中,我们提出了一种战斗的张量模型,用于概括早期的Lanchester型系统,特别强调当代军事思想,包括分布式C4ISR系统(Command ,控制,通讯,计算,情报,监视和侦察)。在本文中,我们使用熵李氏导数机器扩展了初始张量战斗模型,以捕获这种深度不确定性的某些方面,同时,在此过程中,将战争中对称和不对称的军事概念形式化为< i>换向器,也称为李括号。在这样做的过程中,我们试图将问题从对战斗结果的预测转移到使用不确定的结果来确定不确定性的结果,前者通常已构建了先前的战斗模型,例如Lanchester型方程式。

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