Abstract
As the army continues to develop virtual systems for combative support missions, it needs to also develop representations of intelligent systems for its battlefield simulations. Military route planning is a challenging problem in many domains such as military mission planning, simulated war games, and battlefield simulations. The simulations have levels of complexity, abstraction, and scale. In this paper we discuss a framework for modeling intelligent systems in the context of a battlefield simulation tool. We apply this framework to model a battlefield simulation comprising of enemy outposts, minefields, barriers, and platoons of soldiers in a multi-agent system to aid commanders in decision making strategies. The results shown in this paper could be used for decision making by commanders as they can visualize bottle-neck situations such as goal swapping for platoons, route planning, and strategy planning.
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