An algorithm of air combat maneuver strategy based on two layer game decision-making and distributed MCTS method with double game trees under uncertain interval information conditions

In this paper, the model of target assignment decision and maneuver decision is established based on the position situation information such as angle and distance, the performance of the fighter, the threat of combat intention, and the multi-fighter collaboration effect, a two layer game decision algorithm based on double game trees distributed Monte Carlo strategy search is proposed, and the operational rules of interval numbers and the possibility degree comparison rules are adopted to solve the designed method. The experiment results show that the model and algorithm designed in this paper are correct and effective and the opponent's combat intentions, trajectories and battlefield situation can accurately be predicted by the fighters in air combat. The two layer game decision-making method can precut the huge game tree strategy space, which improves the efficiency of strategy search. The distributed Monte Carlo strategy search method with double game trees can quickly search out the optimal air combat game decision scheme by adapting the opponent's strategy in real time.