Intelligent Decision-Making Item Mining of All Combat Links Based on Small Sample Data and Knowledge Base Design of Hierarchical Task Network

In this paper, the design work of this paper is carried out in view of the urgent need of dispatching the optimal agent that ADAPTS to the situation conditions in different air combat situations. Through real-time analysis of a large number of air combat situation data, artificial intelligence can provide real-time auxiliary decision-making for human pilots in the process of air combat, which can greatly shorten the reaction time of air combat, reduce the fatigue effect of pilots and many other advantages, and is an inevitable trend of future intelligent air combat development. Agents obtained by using different combat rules, neural networks and training methods have different capabilities in different air combat situations. If the ability of different agents can be evaluated under various typical air combat situations, and the optimal agent can be quickly called to conduct air combat under actual combat conditions according to the current situation of our side, then the strengths of each agent can be fully utilized. Rapidly improve fighter air combat capabilities.