A Knowledge Growing System-based Decision Making-Support System Application for Forces Command and Control in Military Operations

Abstract

Decision-making in Commanding and Controlling (C2) of forces in a Military Operations (MILOPS) is a complex and tiring task, especially it requires a sustainable cognitive activity where the safety of the soldiers and the success of the mission objective are the primary consideration. In this research, we have developed a new Cognitive Artificial Intelligence (CAI)-based application for supporting the commander in carrying out C2 in a MILOPS. The core of the application is Knowledge Growing System (KGS) with ASSA2010 information-inferencing method that computes the three MILOPS primary parameters, namely Weather, Field, and Enemy (WFE). The computation results are the most probable route for delivering the forces considering the conditions of the WFE. The results of the test show that the Knowledge Growing System-based Decision Making-Support System for MILOPS (KGS-DMSSMILOPS) application has successfully worked properly.