LAUSR

Abstract Game theory can be applied to the air combat decision-making problem of multiple unmanned combat air vehicles (UCAVs). However, it is difficult to have satisfactory decision-making results completely relying on air combat situation information, because there is a lot of time-sensitive information in a complex air combat environment. In this paper, a constraint strategy game approach is developed to generate intelligent decision-making for multiple UCAVs in complex air combat environment with air combat situation information and time-sensitive information. Initially, a constraint strategy game is employed to model attack-defense decision-making problem in complex air combat environment. Then, an algorithm is proposed for solving the constraint strategy game based on linear programming and linear inequality (CSG-LL). Finally, an example is given to illustrate the effectiveness of the proposed approach.