Unverified50% confidenceFactExact time
deadly triad问题指函数逼近、自举更新和off-policy学习三者结合时产生的不稳定性
1
Sources
50%
Confidence
Long-term
Relevance
8/27/2026
First Seen
Sources
Related Entities
Related Claims
Unverified复合错误效应（Compounding Error Effect）指每一步决策的微小偏差会在后续步骤中被持续继承和放大，在多智能体协作场景中错误还会在智能体间传播66% similarUnverified级联失败是指单次工具调用错误会污染后续上下文，导致模型在错误的中间状态上继续推理，最终使整个任务偏轨66% similarUnverifiedMulti-step reasoning chain structures are vulnerable to cascading error propagation — if a tool call at one step returns an erroneous result, all subsequent steps will continue reasoning based on that incorrect premise.66% similarUnverifiedIn multi-step Agent loops, errors in intermediate steps propagate and amplify in the form of contaminated context, producing an error cascade phenomenon.66% similarVerified多代理系统存在失控的递归调用、协调开销激增和错误逐层放大（级联失败）的隐患65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/810021API
curl https://kongchang.com/api/v1/knowledge/claims/810021MCP
get_claim(id=810021)