Decision-making technologies in military systems. Challenges and prospects

A.O. Morozov, V.O. Yashchenko
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Abstract

This article examines the current aspects of the use of intelligent systems in the military sphere and their role in decision-making in crisis situations. In particular, systems such as JADE, ALPHA, and R-Plan designed to plan the deployment of armed forces, control combat aircraft, and make decisions at the operational level are analyzed. The article also describes the decision-making technology in automatic and automated control systems, as well as the state of modern military technologies. Particular attention is paid to the role of decision-making technologies in military operations, and the challenges and obstacles faced by such systems are identified. To effectively overcome these obstacles, promising directions for development and technology improvement are considered. The article provides an overview of the current state and prospects of the use of intelligent systems for decision support in the military sphere and identifies the key factors influencing their effective application. The paper discusses an innovative approach to the creation of smart autonomous robots based on the new technology of neural-like growing networks (mren-RS). Robots created using this technology function based on knowledge, associative connections, and logical inference, constantly improving their intelligence. Such robots do not require complex computing systems due to the simple structure of neural-like elements. Their high efficiency is ensured by the massive parallelism of information processing. Robots based on mren-RS can learn independently, make logical decisions, and dynamically adjust their actions. Their advantages include high intelligence, efficient power consumption, reliability, and resistance to obstacles. Such robots have the potential to become reliable assistants in solving complex problems, make a significant contribution to the development of society, and change the idea of a future civilization.
军事系统中的决策技术。挑战与前景
本文考察了目前在军事领域使用智能系统的各个方面及其在危机情况下决策中的作用。特别地,对JADE、ALPHA和R-Plan等系统进行了分析,这些系统旨在规划武装部队的部署、控制作战飞机并在作战层面做出决策。文章还介绍了自动和自动控制系统中的决策技术,以及现代军事技术的现状。特别注意决策技术在军事行动中的作用,并确定了这些系统所面临的挑战和障碍。为了有效地克服这些障碍,考虑了有希望的发展方向和技术改进。本文概述了军事领域决策支持智能系统的现状和前景,并确定了影响其有效应用的关键因素。本文讨论了一种基于类神经生长网络(mren-RS)新技术创建智能自主机器人的创新方法。利用该技术创造的机器人基于知识、联想连接和逻辑推理,不断提高其智能。这种机器人不需要复杂的计算系统,因为类似神经的元素结构简单。信息处理的大量并行性保证了它们的高效率。基于mren-RS的机器人可以独立学习,做出逻辑决策,并动态调整自己的行为。它们的优点包括高智能、高效功耗、可靠性和抗障碍物能力。这样的机器人有潜力成为解决复杂问题的可靠助手,为社会发展做出重大贡献,并改变未来文明的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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