Unverified50% confidenceOpinionExact time
LLM驱动的Agent行为由概率分布决定,使得经典MAS理论中的许多假设不再成立
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
VerifiedThe root cause of LLM hallucination lies in the autoregressive generation mechanism—the model predicts the next Token based on a probability distribution rather than genuine logical reasoning.76% similarUnverifiedLLM驱动的Agent引入了推理随机性(temperature参数控制采样)和上下文依赖性,使传统链路追踪工具无法直接捕获模型决策的语义信息74% similarUnverifiedLLM-based decision-making is non-deterministic—identical inputs may produce different execution paths due to the model's probabilistic sampling—and this is the fundamental technical reason why agents require human-machine collaboration protocols.73% similarUnverifiedThe non-determinism of Agents stems from the token sampling mechanism of LLMs based on probability distributions, the dynamic changes in the context window, and silent updates to model versions.72% similarUnverifiedAlthough LLMs do not directly output normalized probability vectors, decision confidence can be approximately estimated through various engineering methods.70% similar
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