基于大语言模型的战略情报多智能体构建研究*
Research on Multi-Agent Construction for Strategic Intelligence Based on Large Language Models
摘要
[目的] 随着全球情报格局日趋复杂，传统情报分析方法与简单大模型需求对齐机制在应对精细化战略情报任务时已显现明显瓶颈，亟需探索融合大语言模型的智能体协同机制，以破解战略情报分析的能力鸿沟。[方法] 以人类认知映射理论为导向，梳理Google、Anthropic、斯坦福等机构的智能体设计理念，结合新一代信息科技战略研究中心（CaSIT）的实践积累，构建了一套多智能体协同分析框架，并通过实际业务场景开展案例实证。[结果] 多智能体系统通过需求解析、任务规划、记忆存储、工具调用和情报分析等环节的深度协同，实现了从情报需求到决策支持的全流程智能化闭环，提升了大模型的战略研判能力。[局限] 在智能体复杂需求理解、大语言模型部署成本方面存在局限，跨领域适应性、非结构化数据处理与深度分析能力仍需加强。[结论] 构建了整合多源监测与态势感知功能的战略情报多智能体分析框架。
Abstract
[Objective] With the increasing complexity of the global intelligence landscape, the traditional intelligence analysis methods and the simple large model demand alignment mechanism have shown obvious bottlenecks in coping with the refined strategic intelligence tasks, and there is an urgent need to explore the synergistic mechanism of intelligences integrating the large language model in order to crack the capability gap of strategic intelligence analysis.[Methods] Taking the human cognitive mapping theory as the guide, combing the design concepts of intelligences from Google, Anthropic, Stanford and other organizations, and combining with the practical accumulation of the Center for Strategic Research on New Generation Information Technology (CaSIT), we constructed a set of framework for multi-intelligence collaborative analysis, and carried out the case empirical demonstration through the actual business scenarios.[Results] The multi-intelligent body system realizes the whole-process intelligent closed-loop from intelligence demand to decision-making support through the in-depth synergy of demand analysis, task planning, memory storage, tool invocation and intelligence analysis, and improves the strategic research and judgment capability of the big model.[Limitations]There are limitations in the understanding of complex requirements of intelligences, the deployment cost of large language models, and the cross-domain adaptability, unstructured data processing and in-depth analysis capabilities still need to be strengthened.[Conclusions] A strategic intelligence multi-intelligence body analysis framework integrating multi-source monitoring and situational awareness functions is constructed.关键词
大模型/战略情报/智能体/智能情报/情报分析Key words
Large language model/Strategic Intelligence/Intelligent Agents/Intelligent Intelligence/Intelligence Analysis引用本文复制引用
蒲云强,唐川,邓航宇,王婉婧.基于大语言模型的战略情报多智能体构建研究*[EB/OL].(2025-04-13)[2026-04-03].https://chinaxiv.org/abs/202504.00184.学科分类
战略、战役、战术/计算技术、计算机技术
评论