Verified65% confidenceFactExact time
High-level agents introduce ReAct (Reasoning + Acting) or multi-step planning capabilities, enabling them to decompose goals autonomously, dynamically select tools, and adjust subsequent steps based on intermediate results.
3
Sources
65%
Confidence
Long-term
Relevance
9/16/2026
First Seen
Sources
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Related Claims
UnverifiedOne of the core characteristics of agents is the ability to autonomously advance tasks until completion, whereas ordinary large models operate in a turn-based manner.79% similarUnverifiedThe intelligent agent system adopts a closed-loop architecture of perception–planning–execution, decomposing complex tasks into sub-task sequences through reasoning frameworks such as ReAct and Chain-of-Thought.78% similarUnverifiedIn the structural adjustment mechanism, the agent can add new execution nodes, remove redundant paths, or adjust the priority of decision branches.78% similarUnverifiedThe iterative loop mechanism (perceive current state → decompose and execute → invoke tools → review progress → continue iterating) is the core feature that distinguishes intelligent agents from traditional AI tools.78% similarUnverifiedReAct的思考—行动—观察循环机制使Agent在处理多步骤复杂任务时表现出更高可靠性，显著减少幻觉和错误累积77% similar
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