Agent4S: The Transformation of Research Paradigms from the Perspective of Large Language Models
/ Authors
Boyuan Zheng, Zerui Fang, Zhe Xu, Rui Wang, Yiwen Chen, Cunshi Wang, Mengwei Qu, Lei Lei, Zhen Feng, Yan Liu
and 6 more authors
Yuyang Li, Mingzhou Tan, Jiajing Wu, Jianwei Shuai, Jia Li, Fangfu Ye
/ Abstract
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.
Journal: ArXiv