On Algorithms Required to Be Used in Military Command and Control Processes

Abstract

The military command and control process refers to a process of the methods and principles to be followed in order to fulfill military missions or achieve an objective. The main components of this process are the information that has been analyzed and gathered concerning the description, classification, and evaluation of parameters and variables related to the enemy, air and land, in proportion to the available resources. This study examines the algorithms needed for strategic, operative, and tactical-level units, and the usability of algorithms produced by artificial intelligence-supported techniques such as machine learning and deep learning in military command and control processes in a way to adapt to the modern warfare environment, which requires speed, tempo, and flexibility. So, in this study, an explanation was made about the nature of the algorithms required for military command and control and preparation of the operational environment as a component, and suggestions were made for subsequent research.