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Agent4S: The Transformation of Research Paradigms from the Perspective of Large Language Models

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arxiv 2506.23692 v1 pith:MEI7EXTG submitted 2025-06-30 cs.AI

Agent4S: The Transformation of Research Paradigms from the Perspective of Large Language Models

Boyuan Zheng , Zerui Fang , Zhe Xu , Rui Wang , Yiwen Chen , Cunshi Wang , Mengwei Qu , Lei Lei
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Zhen Feng Yan Liu Yuyang Li Mingzhou Tan Jiaji Wu Jianwei Shuai Jia Li Fangfu Ye
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classification cs.AI
keywords agent4sresearchparadigmsciencescientificagentagentsai4s
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While AI for Science (AI4S) serves as an analytical tool in the current research paradigm, it doesn't solve its core inefficiency. We propose "Agent for Science" (Agent4S)-the use of LLM-driven agents to automate the entire research workflow-as the true Fifth Scientific Paradigm. This paper introduces a five-level classification for Agent4S, outlining a clear roadmap from simple task automation to fully autonomous, collaborative "AI Scientists." This framework defines the next revolutionary step in scientific discovery.

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