基于大模型的态势认知智能体OACSTPCD

Aimming at the multitudinous battlefield situation information and the difficulty in recognizing the changing trends,based on large models,a situation awareness agent and an intelligent situation awareness inductive method are pro-posed.Starting from cognitive concepts and combining the abstractness and embodiment characteristics of agents,three key components in the construction of agents have been clarified:learning environment,memory mode,and knowledge generation mechanism.The architecture of the battlefield situation awareness agent is designed,including memory compo-nent,planning component,execution component,evaluation component,and key points for agent training.In the long-term memory component,based on the modeling characteristics of complex battlefield states,the paper discusses the application of large language models,multimodal large models and large sequence models.