Unverified50% confidenceFactExact time
This mechanism can be described using a mathematical framework similar to neural networks or coupled oscillators, where the system achieves a dynamic balance between positive and negative feedback.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedFeedback loops give agent systems closed-loop control capability: observing the current state, comparing it with the target state, calculating the deviation, and driving corrective actions.72% similarUnverified闭环优化是神经科学中的实验范式,系统能实时根据大脑反馈信号动态调整刺激参数,形成刺激→神经响应→参数调整→新刺激的迭代回路72% similarUnverified外层循环实质上实现了控制论中的负反馈闭环,与PID控制器工作原理类似71% similarUnverifiedThe automation layer constructs a generate-compile-test-fix feedback loop, drawing on the concept of negative feedback regulation from cybernetics.69% similarUnverified等变神经网络的等变性使输出随输入的旋转或平移变换而以相同方式变换,这种归纳偏置提高了样本效率69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/902557API
curl https://kongchang.com/api/v1/knowledge/claims/902557MCP
get_claim(id=902557)