Knowledge-Based Approach for Military Mission Planning and Simulation

One of the most complicated and complex decision processes concerns military applications. Military command and control processes are information intensive activities, involving many variables (tasks of friendly forces, expected actions of opposite forces, environmental conditions – terrain, weather, time of the day and season of the year, current state of own (friend) and opposite forces in the sense of personnel, weapon systems and military materiel, etc.) with strong interrelationships and uncertainty. Two of the factors which are especially essential in military decision-making are human battlefield stress and a limited time. Therefore, it is very important to provide, for military decision-makers, computer tools, which support their decisions and try to partially eliminate the negative impact of their stress on the decision being made and shorten the decision-making time (Najgebauer, 1999; Tarapata, 2011). These tools should be a knowledge-based (Tarapata, 2011). An example of a knowledge-based decision support system schema for military applications is presented in Fig.1. There are illustrated two elements, which contain a knowledge base (KB): operational-tactical KB and terrain KB. The first one is used to collect knowledge being used to express the character of the digital battlefield during automation of military decision-making: military rules, decision situation patterns and recognition rules, course of action (CoA) patterns, etc. The second one (terrain KB) collects pre-processed information from the terrain database.

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