指挥控制与仿真2024，Vol.46Issue(2)：1-7,7.DOI:10.3969/j.issn.1673-3819.2024.02.001
基于大模型的态势认知智能体
Research on situation awareness agent based on large models
孙怡峰 1廖树范 1吴疆 1李福林1
作者信息
- 1. 战略支援部队信息工程大学, 河南 郑州 450001
- 折叠
摘要
Abstract
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.关键词
大模型/态势认知/智能体/通用人工智能Key words
large models/situation awareness/agent/general artificial intelligence分类
军事科技引用本文复制引用
孙怡峰,廖树范,吴疆,李福林..基于大模型的态势认知智能体[J].指挥控制与仿真,2024,46(2):1-7,7.
