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Agent Loop 的思考—行动循环理论来源于 2022 年 Google 与普林斯顿大学联合提出的 ReAct（Reasoning + Acting）范式

2

Sources

60%

Confidence

Long-term

Relevance

7/20/2026

First Seen

Sources

Agent Loop详解：智能体循环的核心原理与实现机制

Related Claims

VerifiedReAct（Reasoning + Acting）是2022年由Google提出的Agent范式，核心思想是让大模型在推理和行动之间交替迭代81% similar VerifiedAgent Loop本质上是一个While循环，持续进行思考、行动、再思考、再行动，直到目标达成77% similar UnverifiedAgent 基于2023年普林斯顿大学提出的 ReAct 框架（Reasoning and Acting）77% similar UnverifiedA typical Agent execution loop includes perception, reasoning, action, and observation, forming the ReAct (Reasoning + Acting) pattern76% similar

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