Both sides in contemporary warfare must thoroughly consider their strategies and implement effective tactics to increase their offensive or defensive capabilities. It is critical to emphasize the strengths and weaknesses of one’s own side to establish a balanced and stable situation on the battlefield. This paper presented a suggested method that employed Markov networks to define the weight of nodes in a map, resulting in an optimal predetermined layout. Furthermore, we proposed adopting BP neural network algorithms to give the army autonomy in decision-making. That enabled each unit to develop its own decision-making process and enhance the overall war strategy via repeated simulations.