分布式智能作战决策应用发展与关键技术

本文分析了多域协同作战条件下分布式智能作战决策面临的问题,包括训练数据样本稀缺、决策过程不透明和难解释、决策结果可信性待验证等,提出了构建数字挛生战场、探索智能算法作用机理、完善智能决策知识图谱以及建立可信度与能力评价方法等应用发展思路,研究了分布式处理条件下的态势理解认知、权重自学习的多目标智能威胁评估、面向博弈对抗体系的自主任务分配等关键技术。

Application Development and Key Technologies of Distributed Intelligent Operation Decision-Making

The problems faced by distributed intelligent operation decision under the condition of multi-domain cooperative engagement is analyzed in the paper,including the scarcity of training data samples,the decision making process is opaque and difficult to explain,and the credibility of the decision result is to be verified.The ideas of constructing digital twin battlefields,exploring the action mechanism of intelligent algorithms,perfecting the knowledge graph of intelligent decision making,and establishing the method of credibility and ability evaluation are put forward.The key technologies are studied,such as situation understanding and cognition under distributed processing,multi-objective intelligent threat assessment based on weight self-learning,and autonomous task assignment oriented game confrontation system.