模拟非动力因素对战斗力的影响:欺骗的作用

K. Hock, S. Staby, M. Gary, L. Kosowski, D. Blumson, H. T. Cao, S. Elsawah, N. Kempt, M. Richmond
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引用次数: 0

摘要

未来陆战性质的变化使得人们越来越关注动力和非动力效应之间的相互作用,以及软因素和硬因素对战斗力的影响。新兴技术对软因素的潜在影响对于模拟未来战场的复杂性至关重要,但也具有挑战性的特征和量化。能够共同代表广泛因素的模型可以帮助深入了解直接转化为陆地作战结果的技术影响。为了实现这一目标,这些模型的范围需要在高度详细的技术模拟和高度抽象的消耗模型之间取得平衡,以便检查现代陆战核心关键因素之间的相互作用。在这里,我们展示了一个模型的输出,该模型代表了软因素(如态势感知、欺骗和电磁频谱行动)以及源于这些因素的决策对输出(如动态交战结果)的影响。我们首先概述了这些因素在基于系统动力学的更广泛的模型架构中的实现,包括动态战斗和消耗。然后我们将重点放在模型组件上,这些组件专门处理部队对战场的感知。这里的一个关键概念是欺骗,在决策的各个阶段的模型中表现出来。部队的行动不仅剥夺了对手获取战场信息的能力,而且降低了对方处理战场动态信息的能力。除了干扰感知之外,力的作用还会通过增加对手通过欺骗获得的错误信息的比例,从而阻碍对手对信息采取有利行动的能力。这将削弱对手执行决策的能力,而这将增强其战斗能力,特别是降低其造成伤亡的能力。欺骗的程度可以通过对手最终做出的决定来评估,以指导其部队的表现,以及在没有部队积极欺骗它的情况下,它将做出的最佳决策水平。最终,由于不利决策而产生的高度负面认知也会导致决策瘫痪,从而进一步影响对手对其部队进行有效指挥和控制的能力。这种影响可以通过使用可能在决策过程的各个阶段加剧这些负面反馈的新技术而得到加强。总体而言,该模型捕获了一系列软效应,并将其影响转化为战场上的作战成功,因此为探索未来技术对战斗力的影响提供了一个包容性框架。模型结构中反馈回路的存在也使得模拟可能由参数的细微变化引起的失控过程成为可能,并且模型的这一特征允许检查可能由未来技术引入的战争中的潜在引爆点。软因素影响的纳入扩展了消耗战之外的范围,也有助于将建模方法与专注于打破对手战斗意志的理论假设结合起来,从而在不主要关注物质和物理损失的现代战斗中取得成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling the impacts of non-kinetic factors on combat effectiveness: The role of deception
: The changing nature of future land warfare has applied an increasing focus on an interplay between kinetic and non-kinetic effects, as well as soft and hard factors, on combat effectiveness. Potential impacts of new and emerging technologies on the soft factors is critical to simulate the complexity of future battlefields, yet also challenging to characterise and quantify. Models that are capable of jointly representing a broad spectrum of factors can help with insights into technological impacts that translate directly into land combat outcomes. To achieve this aim, the scope of such models needs to strike a balance between highly detailed technical simulations and highly abstracted attrition models in order to examine the interaction between crucial factors at the heart of the modern land warfare. Here we show the outputs of a model that represents the effect of soft factors like situational awareness, deception, and electromagnetic spectrum actions, as well as the decision-making that stems from these factors, on outputs such as kinetic engagement outcomes. We first provide an overview of implementation of these factors in a wider model architecture based on system dynamics that includes kinetic combat and attrition. We then focus on the model components that specifically deal with the force’s perception of battlefield. A key concept here is that of deception, represented in the model at various stages of decision-making. Force’s actions not only deny the opponent the ability to acquire information about the battlefield, but also degrade opposing force’s ability process information about dynamic battlefield situations. In addition to interfering with the sensing, force’s action also hinder the ability of the opponent to act advantageously on the information by increasing the proportion of incorrect information that is available to the opponent through deception. This then diminishes the opponent’s ability to implement decisions that would enhance its combat capabilities, notably degrading its ability to inflict casualties. The level of deception can be assessed from the discrepancy between the decisions that the opponent ends up making to guide the performance of its forces and the optimal level of decision-making that it would be making in the absence of force’s active effort to deceive it. Ultimately, high levels of negative perception stemming from detrimental decisions could also promote decision paralysis, further affecting the opponent’s ability to exert effective command and control over its forces. Such effects could be enhanced with the use of novel technologies that could exacerbate these negative feedbacks at various stages of the decision-making process. Overall, the model captures a range of soft effects and translates their impacts into operational success in the field, and as such provides an inclusive framework to explore the effects of future technologies on combat effectiveness. The presence of feedback loops in the model structure also makes it possible to simulate runaway processes that may arise from subtle changes in parameters, and this feature of the model then allows for examination of potential tipping points in warfare that could be introduced by future technologies. Inclusion of soft factor impacts extends the scope beyond attritional warfare and also helps to align the modelling approach with doctrinal postulates that focus on breaking opponent’s will to fight, and therefore achieve success in modern combat that is not primarily focused on material and physical losses.
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