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Bibliographic Details
Main Authors: Zheng, Boyuan, Fang, Zerui, Xu, Zhe, Wang, Rui, Chen, Yiwen, Wang, Cunshi, Qu, Mengwei, Lei, Lei, Feng, Zhen, Liu, Yan, Li, Yuyang, Tan, Mingzhou, Wu, Jiaji, Shuai, Jianwei, Li, Jia, Ye, Fangfu
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2506.23692
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Table of Contents:
  • 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.