Definitionv1
Double-loop learning: a form of feedback that questions the
Double-loop learning: a form of feedback that questions the underlying framework, assumptions, and goals that generate actions, rather than simply correcting actions within an existing framework
Why This Is a Definition
This definition precisely distinguishes double-loop from single-loop learning by identifying the genus (form of feedback) and differentia (questions framework/assumptions rather than just correcting actions). It captures the deeper level of feedback described in the context of error correction and meta-cognitive processes.
Source Lessons
L-0480
Mastering feedback loops means mastering adaptation
The ability to build and tune feedback loops is the ability to continuously improve.
L-0591
Agent archaeology
Understanding your past agents — even failed ones — reveals patterns in how you build cognitive systems.
L-0560
Monitoring is the feedback loop for your agents
Monitoring completes the feedback loop — observation enables adjustment enables improvement.
L-0561
Optimization is iterative improvement based on data
Use monitoring data to make targeted improvements to your agents.