Human-computer gaming decision-making method in air combat under an incomplete strategy set

Abstract

In thereal air combat environment, uncertainty is widespread. This paper considers the air combat decision-making problem in the human-computer gaming scenario, and a game decision-making method is proposed under anincomplete strategy set.First, the dynamic game process of unmanned and manned air vehicle swarms is decomposed into different decision-making stages, and the current decision-making stage is modeled as a zero-sum game model.In the established model, the situation where the strategy of the manned air vehicle swarm is not completely known is considered, and an uncertain payoff matrix is used to describe the incomplete strategies. Then, a solutionmethod of the established game under anincomplete strategy setis proposed based on the concept of the maximum-minimum strategy in matrix games. Thus, the decision sequence of unmanned air vehicle swarms is given. Finally, the effectiveness of the proposed method is verified through simulation experiments.