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

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Library & Information ›› 2025, Vol. 45 ›› Issue (01) : 21-31. DOI: 10.11968/tsyqb.1003-6938.2025003

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

  • Zhou Honglei  Zhang Haitao  Liu Yanhui  Lv Junjie
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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.

Key words

intelligence response system / intelligence awareness / LLM-based Agents / major emergencies / response strategies

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. Research on Intelligence Response System for Major Emergencies Empowered by LLM-based Agents. Library & Information. 2025, 45(01): 21-31 https://doi.org/10.11968/tsyqb.1003-6938.2025003

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