Military route planning in battle field simulations for a multi-agent system

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.