Abstract:

[Purpose/Significance] Through interdisciplinary comparison, the core connotation, common core and field differentiation of the Agent concept are revealed, the Agent-related concepts and theories contained in library science are revealed, and the innovative value of AI Agent driven by large language models to the core services of libraries is analyzed to promote the transformation of knowledge services to intelligent and collaborative paradigms. Understanding the interdisciplinary nature of Agents will help library science, information science and other related disciplines to better design and apply AI technologies and achieve the core mission of connecting humans and knowledge in a more efficient, accurate and humane way. It will also enable library science to more accurately integrate the essence of the six major disciplines and transform the traditional three-subject relationship of readers, librarians and systems into a new collaborative paradigm. [Method/Process] Using interdisciplinary literature analysis, the definition, theoretical evolution and application characteristics of Agent in six major disciplines of philosophy, economics, law, biology, sociology and computer science are sorted out, the concepts and theories related to Agent contained in library science are explored, and the commonalities and differentiation of Agent in the five-dimensional characteristics of autonomy, perception, purpose, adaptability and interactivity of each discipline are compared. The theoretical essence of the six major disciplines is mapped to the three-dimensional subject in the practical field of library science, and the Agent role coordination mechanism of readers, librarians and systems is analyzed. Readers are entities with intentions and autonomous consciousness, and they will actively initiate information search behaviors based on information needs such as learning knowledge and solving problems and will also adjust their strategies according to environmental changes such as technical tools and social culture, reflecting agent-like adaptability. Librarians serve as service intermediaries and information gatekeepers, connecting readers with resources through technical services such as classification and cataloging, and helping users clarify their information needs and improve their information literacy through reader services such as reference consultation. The library's information systems will also simulate human agent capabilities through algorithms or technologies. Automated search engines or crawlers will collect data according to preset rules, and personalized information recommendations will be made based on user behavior, driving the library's management and services towards automation and intelligence. [Results/Conclusions] The commonality of interdisciplinary agents revolves around the realization of goals by autonomous actors in the environment. The five-dimensional characteristics constitute an interdisciplinary consensus, and the differences are due to the core issues of the disciplines. The essence of a library is a multi-agent system. The reader agent integrates philosophical intentionality and economic game strategy, reflecting demand-driven adaptive retrieval. The librarian agent inherits the legal agency rights and responsibilities and the sociological structural initiative, becoming a professional intermediary between resources and users. The system agent draws on the biological evolutionary adaptation and computer perception closed loop, and advances to an intelligent base for autonomous optimization. AI Agent is a technical enhancement of the inherent agent characteristics of library science. It realizes automation, personalization and intelligent service upgrades through large language models, realizes intention understanding, tool calling, and multi-agent collaboration, and drives the three-element subject from passive response to active collaboration. The three-element agent framework for library science is created, which clarifies the collaborative agent roles of readers, librarians, and systems, and reveals the deep logic of AI Agent driven by large language models and library science. An interdisciplinary comparative study of the Agent concepts reveals that its essence is a practical vehicle for achieving autonomous decision-making in a specific environment. Philosophy gives it depth of consciousness, economics models strategic games, law defines the boundaries of rights and responsibilities, biology reveals evolutionary logic, sociology anchors structural interactions, and computer science ultimately achieves a closed-loop technology. Library science constructs a ternary collaborative intelligent ecosystem that transforms abstract autonomy into a practical paradigm of knowledge connection through the dynamic collaboration of readers, librarians, and systems.

Key words: library science, artificial intelligence, AI Agent, interdisciplinary research, human-AI collaboration