Abstract：Joint operations plan generation, both domestic and international practices predominantly adhere to two models: the“rapid revision of plan”approach grounded in pre-existing plans, and the“slow plan-making”method rooted in operational procedures and combat rules. However, the process of plan making is often encumbered by disorganized combat information management, a complex information exchange process, and cognitive biases among personnel, collectively leading to protracted planning cycles that fall short of meeting the exigencies of actual combat scenarios. Consequently, framework for intelligent generation of joint operations plans based on KG+LLM is proposed. The period of plan making is shortened by knowledge graphs and large models technologies. Furthermore, the “Antonov Airport Blitzkrieg”scenario is integrated to design a human-machine collaborative“intelligent drafting”model based on KG+LLM. The feasibility and viability of this framework have been demonstrated through its application in the CMO sea-air wargaming system.
陶宇， 杨若鹏， 鲁义威， 殷昌盛， 杨远涛. 基于KG+LLM的联合作战计划智能生成方法[J]. 指挥与控制学报, 2024, 10(6): 699-711.
TAO Yu， YANG Ruopeng， LU Yiwei， YIN Changsheng， YANG Yuantao. Intelligent Generation of Joint Operation Plans Based on KG+LLM. Journal of Command and Control, 2024, 10(6): 699-711.
2024, Vol. 10 
