From MIS to DIS Agent: Reshaping the Paradigm of S&T Documentation and Information Service

Liu Xiwen; Sun Mengge; Fu Yun

doi:10.13266/j.issn.0252-3116.2025.17.001

Library and Information Service >

2025 , Vol. 69 >Issue 17: 3 - 15

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.17.001

INVITED ARTICLE

From MIS to DIS Agent: Reshaping the Paradigm of S&T Documentation and Information Service

Liu Xiwen ,
Sun Mengge ,
Fu Yun

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1 National Science Library, Chinese Academy of Sciences, Beijing 100190;
2 Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100049

Liu Xiwen, Research Fellow, Doctoral Supervisor; Sun Mengge, Doctoral Candidate; Fu Yun, Librarian, PhD, Corresponding Author, E-mail: fuy@mail.las.ac.cn.

Received date: 2025-06-01

Revised date: 2025-06-22

Online published: 2025-08-20

Supported by

This work is supported by major program of National Social Science Fund of China titled “Research on the Application of Key Technologies for Intelligent Information in the Context of Digital-Intelligent Transformation” (Grant No. 23&ZD228).

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Abstract

[Purpose/Significance] This study investigates the adaptability and evolutionary path of agent technologies in science and technology (S&T) intelligence work, aiming to meet the increasing demands for intelligent and collaborative systems. It introduces the concept of the Documentation and Information Service Agent (DIS Agent) and clarifies its theoretical foundation and system mechanisms, providing methodological support for advancing S&T intelligence systems toward higher-level cognitive capabilities. [Method/Process] Drawing on the stratification of agent capabilities and multi-agent collaboration models, the study examines their development in scientific and intelligence contexts. It proposes a three-stage system evolution path—from Management Information Systems (MIS), through AI Agent systems, to the Agentic AI paradigm—within the three major domains of information management, intelligence analysis, and scholarly communication. A task-closed-loop architecture is proposed to support the emergence of human–multi-agent collaboration mechanisms. [Result/Conclusion] DIS Agents are task-oriented systems that integrate multiple types of agents with large language models as cognitive cores, characterized by modular design and collaborative evolution capabilities. Under this architecture, the three core domains of intelligence work undergo a shift from rule-based configuration to semantic-driven systems, enabling task-oriented knowledge organization, autonomous strategy generation, and optimized communication loops. The role of human experts evolves from operators to “intent architect for DIS task framework” and “process quality supervisors,” marking the formation of a new paradigm of human–multi-agent collaboration. Future work will focus on the development and practical deployment of DIS Agent systems.

Key words： DIS Agent; management information systems (MIS); human-multi-agent synergy; S&T documentation and information service (DIS); new paradigm

Cite this article

Liu Xiwen , Sun Mengge , Fu Yun . From MIS to DIS Agent: Reshaping the Paradigm of S&T Documentation and Information Service[J]. Library and Information Service, 2025 , 69(17) : 3 -15 . DOI: 10.13266/j.issn.0252-3116.2025.17.001

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