用大模型代理重构科研流程，迈向全自动科学发现新范式
Agent4S: The Transformation of Research Paradigms from the Perspective of Large Language Models
- 以大模型驱动代理实现科研全流程自动化
- 提出五级分类框架，覆盖从任务自动化到自主协作的演进路径
- 为构建真正自治的AI科学家提供清晰路线图
当前人工智能用于科学（AI4S）仅作为分析工具，未能解决科研核心低效问题。本文提出“科学代理”（Agent4S）——利用大语言模型驱动的智能体自动化整个科研流程，作为真正的第五个科学范式。论文构建了五级分类体系，系统梳理了从简单任务自动化到完全自主、协同的‘AI科学家’的演进路径，为科学发现的下一次革命性突破提供明确框架。
原文摘要 · Abstract (English)
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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