图书情报工作

图书情报工作 >

2026 , Vol. 70 >Issue 11: 125 - 136

DOI: https://doi.org/10.13266/j.issn.0252-3116.2026.11.010

研究论文

协同智能理论视角下图书馆多智能体协作路径研究

  • 郭利敏 ,
  • 付雅明 ,
  • 刘悦如
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  • 1 上海图书馆/上海科学技术情报研究所 上海 200031;
    2 上海大学文化遗产与信息管理学院 上海 200444;
    3 同济大学图书馆 上海 200092
郭利敏,副研究馆员,硕士;付雅明,助理研究员,博士,通信作者,E-mail:ymingfu@126.com;刘悦如,副研究馆员,硕士。

收稿日期: 2025-08-01

  修回日期: 2025-11-11

  网络出版日期: 2026-05-22

基金资助

教育部人文社会科学研究一般项目“基于生成式人工智能的数字文化遗产叙事模式与可信治理研究”(项目编号:25YTCZH049); 上海图书馆(上海科学技术情报研究所)“2151”人力资源能力建设工程骨干英才项目“多模态推荐系统在图书馆的应用研究”研究成果之一。

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Research on Collaborative Pathways of Library Multi-Agent Systems from the Perspective of Collaborative Intelligence Theory

  • Guo Limin ,
  • Fu Yaming ,
  • Liu Yueru
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  • 1 Shanghai Library/Institute of Scientific & Technical Information of Shanghai, Shanghai 200031;
    2 School of Cultural Heritage and Information Management, Shanghai University, Shanghai 200444;
    3 Tongji University Library, Shanghai 200092
Wang Yuxia, Master’s Candidate; Han Yi, Professor, PhD, Corresponding Author, E-mail: hanyi72@swu.edu.cn.

Received date: 2025-08-01

  Revised date: 2025-11-11

  Online published: 2026-05-22

Supported by

This work is supported by the youth project of Humanities and Social Sciences Research by the Ministry of Education, titled “Research on Narrative Models and Trustworthy Governance of Digital Cultural Heritage Based on Generative Artificial Intelligence” (Grant No. 25YTCZH049); and the Shanghai Library (Institute of Scientific & Technical Information of Shanghai) “2151”Human Resources CapacityBuilding Program Core Talent Project titled “Research on the Application of Multimodal Recommendation Systems in Libraries.”

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摘要

[目的/意义] 随着大语言模型推动代理型人工智能范式转变，多智能体系统因在任务分解、语义调度与角色协同等方面表现出优势，逐渐成为图书馆智能化发展的新方向。本文旨在构建适用于图书馆业务的多智能体协作框架，探索其系统构成与应用路径，为智慧图书馆建设提供理论支撑。[方法/过程] 基于协同智能理论，采用结构建模与场景分析相结合的方法，设计图书馆多智能体系统架构，提出涵盖角色功能、协作机制、通信协议、组织结构与任务策略的五维模型，并结合检索、咨询与推荐等典型业务场景进行应用分析，进一步提出研究议题与实践建议。[结果/结论] 多智能体系统是代理型人工智能在图书馆领域的关键实践形式。本文系统提出面向图书馆的多智能体协同框架与应用设想，旨在为智能服务体系建设与后续研究提供理论支撑与拓展思路。

关键词： 多智能体协作系统; 智能体; 智慧图书馆; 大语言模型

本文引用格式

郭利敏 , 付雅明 , 刘悦如 . 协同智能理论视角下图书馆多智能体协作路径研究[J]. 图书情报工作, 2026 , 70(11) : 125 -136 . DOI: 10.13266/j.issn.0252-3116.2026.11.010

Abstract

[Purpose/Significance] With large language models driving a paradigm shift toward agentic AI, multi-agent systems—owing to their strengths in task decomposition, semantic orchestration, and role coordination—are increasingly emerging as a new direction for the intelligence development of libraries. This paper aims to develop a multi-agent collaboration framework applicable to library services, explore its composition and application pathways, and provide theoretical support for smart library construction. [Method/Process] Grounded in collaborative intelligence theory, this study combines structural modeling with scenario analysis to design a library multi-agent system architecture. It proposes a five-dimensional model encompassing role functions, collaboration mechanisms, communication protocols, organizational structure, and task strategies. Furthermore, it conducts an application analysis in typical service scenarios such as information retrieval, reference consultation, and resource recommendation. Research topics and practical suggestions are subsequently presented. [Result/Conclusion] Multiagent systems represent a key practical form of agentic AI in the library domain. This paper systematically proposes a library-oriented multi-agent collaborative framework and application schemes, aiming to provide theoretical support and extended research directions for the construction of intelligent service systems.

Key words： multi-agent collaborative system; intelligent agents; smart libraries; large language models

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