URSA是能自动完成科研任务的智能代理系统，助力科学突破。
URSA: The Universal Research and Scientific Agent
- 构建模块化科研代理系统，可组合使用
- 支持对接高级物理仿真代码，处理复杂问题
- 适合需要自动化研究流程的科学家和实验室
大型语言模型（LLMs）已超越早期聊天机器人角色，具备复杂推理、规划、写作、编程与科研能力，这些能力与人类科学家解决前沿难题的日常技能高度重合。利用LLMs构建的‘代理式’AI有望革新现代科学，打破发展瓶颈。本文提出URSA——一个用于加速科研任务的科学代理生态系统。URSA由一系列模块化代理与工具组成，包括对接先进物理仿真代码的能力，可灵活组合以应对不同复杂度与影响力的科学问题。本工作介绍了URSA的架构，并展示了多个应用实例，凸显其潜力。
原文摘要 · Abstract (English)
Large language models (LLMs) have moved far beyond their initial form as simple chatbots, now carrying out complex reasoning, planning, writing, coding, and research tasks. These skills overlap significantly with those that human scientists use day-to-day to solve complex problems that drive the cutting edge of research. Using LLMs in \quotes{agentic} AI has the potential to revolutionize modern science and remove bottlenecks to progress. In this work, we present URSA, a scientific agent ecosystem for accelerating research tasks. URSA consists of a set of modular agents and tools, including coupling to advanced physics simulation codes, that can be combined to address scientific problems of varied complexity and impact. This work highlights the architecture of URSA, as well as examples that highlight the potential of the system.
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