ProAgent：从机器人流程自动化到智能体流程自动化
ProAgent: From Robotic Process Automation to Agentic Process Automation
AI总结：
本文提出智能体流程自动化（APA）范式，利用基于LLM的智能体ProAgent根据人类指令构建工作流并协调专门智能体进行动态决策，克服了传统RPA在复杂任务中的局限，展示了智能体驱动的新一代自动化可行性。
摘要：
从古代水车到机器人流程自动化（RPA），自动化技术在历史长河中不断演进，旨在将人类从繁重的任务中解放出来。然而，RPA在处理需要类人智能的任务时显得力不从心，特别是在工作流构建的精细设计以及工作流执行中的动态决策方面。随着大型语言模型（LLMs）展现出类人智能，本文提出了智能体流程自动化（APA），这是一种开创性的自动化范式，通过将人类劳动转移给与构建和执行相关的智能体，利用基于LLM的智能体实现高级自动化。随后，我们实例化了ProAgent，这是一个基于LLM的智能体，旨在根据人类指令构建工作流，并通过协调专门化的智能体做出复杂的决策。我们进行了实证实验，详细说明了其工作流的构建和执行过程，展示了APA的可行性，揭示了由智能体驱动的自动化新范式的可能性。我们的代码已在https://github.com/OpenBMB/ProAgent公开发布。
英文摘要：
From ancient water wheels to robotic process automation (RPA), automation technology has evolved throughout history to liberate human beings from arduous tasks. Yet, RPA struggles with tasks needing human-like intelligence, especially in elaborate design of workflow construction and dynamic decision-making in workflow execution. As Large Language Models (LLMs) have emerged human-like intelligence, this paper introduces Agentic Process Automation (APA), a groundbreaking automation paradigm using LLM-based agents for advanced automation by offloading the human labor to agents associated with construction and execution. We then instantiate ProAgent, an LLM-based agent designed to craft workflows from human instructions and make intricate decisions by coordinating specialized agents. Empirical experiments are conducted to detail its construction and execution procedure of workflow, showcasing the feasibility of APA, unveiling the possibility of a new paradigm of automation driven by agents. Our code is public at https://github.com/OpenBMB/ProAgent.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
