专题:人工智能赋能情报服务研究

大模型智能体赋能的重大突发事件情报响应体系研究*

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  • (1.吉林大学商学与管理学院   吉林长春   130012)
    (2.吉林大学信息资源研究中心   吉林长春   130012)
    (3.吉林大学国家发展与安全研究院   吉林长春   130012)
周红磊(1996-),男,吉林大学商学与管理学院助理研究员,研究方向:应急情报与智慧服务;张海涛(1966-),男,吉林大学商学与管理学院、吉林大学信息资源研究中心、吉林大学国家发展与安全研究院教授,博士生导师,研究方向:数据智慧与社会治理、信息行为与智慧服务;刘彦辉(1986-),男,吉林大学商学与管理学院博士研究生,研究方向:情报服务与情报决策;吕俊洁(2002-),男,吉林大学商学与管理学院硕士研究生,研究方向:网络舆情。

收稿日期: 2025-01-20

  网络出版日期: 2025-02-25

基金资助

*本文系国家社会科学基金重大项目“总体国家安全观下重大突发事件的智能决策情报体系研究”(项目编号:20&ZD125)研究成果之一。

Research on Intelligence Response System for Major Emergencies Empowered by LLM-based Agents

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Received date: 2025-01-20

  Online published: 2025-02-25

摘要

以新安全格局保障新发展格局的时代背景下,提升重大突发事件的响应能力成为极具现实意义的实践课题,有助于加快推进应急管理体系和能力现代化。文章首先全面分析重大突发事件科学响应的现实问题,于理论、体系及能力三个方面提出优化方向;其次以重大突发事件的情报感知为流程指导,以大模型智能体为技术赋能,探索情报响应的概念内涵及体系建设思路,提出集综合任务指挥层、应急资源管理层、双重响应处理层及主体协同联动层为一体的重大突发事件情报响应体系;最后回应聚焦的现实问题,提出重大突发事件的响应策略。我国面临的安全挑战和应急管理困境,需要进行体系化应对,而体系应对考验的则是体系能力。大模型智能体赋能的重大突发事件情报响应体系,是开展情报分析与管理活动有机融合的可行思路。

本文引用格式

周红磊 张海涛 刘彦辉 吕俊洁 . 大模型智能体赋能的重大突发事件情报响应体系研究*[J]. 图书与情报, 2025 , 45(01) : 21 -31 . DOI: 10.11968/tsyqb.1003-6938.2025003

Abstract

In the context of safeguarding the new development paradigm with a new security landscape, enhancing the response capabilities for major emergencies has become a highly practical research topic, which is conducive to accelerating the modernization of emergency management systems and capabilities. Firstly, this research comprehensively analyzes the current issues in scientific response for major emergencies and proposes optimization directions in three aspects: theory, system, and capability. Secondly, based on intelligence awareness as a process guide and LLM-based Agents as a technology enabler, this research explores the conceptual connotation and system construction approach of intelligence response, proposes an intelligence response system that integrates a comprehensive task command level, emergency resource management level, dual-response deal level, and multi-agent collaboration and linkage level. Lastly, it presents response strategies for major emergencies, after addressing the practical issues highlighted in this paper. The security challenges and emergency management dilemmas faced by China necessitate a systematic approach, which in turn tests the capabilities of the system. Intelligence response system for major emergencies, empowered by LLM-based Agents, represents a feasible way to integrate intelligence analysis and management activities organically.
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