Verified65% confidenceFactExact time
ReAct is a core LLM Agent paradigm proposed by Google and Princeton University in 2022, which interleaves the reasoning process with external tool calls to form a think-act-observe closed loop.
3
Sources
65%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
AI智能体玩游戏：娱乐背后的技术价值与研究意义
Related Claims
VerifiedThe technical essence of Agent-type tools is an LLM-based autonomous decision-making loop, i.e., the ReAct framework (Reasoning → Action → Observation → Re-reasoning).81% similarVerifiedReAct (Reasoning + Acting) is an Agent paradigm proposed by Google in 2022, whose core idea is to have large models alternate iteratively between reasoning and acting.78% similarUnverifiedThe think-act loop theory of Agent Loop originates from the ReAct (Reasoning + Acting) paradigm jointly proposed by Google and Princeton University in 2022.75% similarUnverifiedAgentic tools introduce the ReAct (Reasoning + Acting) framework, forming a complete perception-planning-execution closed loop.74% similarVerifiedThe ReAct (Reasoning + Acting) paper published in 2022 demonstrated that having LLMs alternate between reasoning and acting can significantly improve task completion rates, laying the design foundation for current mainstream agent frameworks.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/510549API
curl https://kongchang.com/api/v1/knowledge/claims/510549MCP
get_claim(id=510549)