Decision-making technologies in military systems. Challenges and prospects.

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.