Definitionv1DF-432
Feedback loop: a closed-loop system mechanism that observes…
Feedback loop: a closed-loop system mechanism that observes its own output, compares it to a reference standard, and adjusts future behavior based on the comparison, enabling systems to learn and adapt
Why This Is a Definition
This definition establishes the precise semantic boundary of 'feedback loop' by identifying its genus (closed-loop system mechanism) and differentia (observation, comparison, adjustment process). It distinguishes it from mere observation or reaction, and provides the operational characteristics that make it a learning mechanism rather than just a monitoring tool.
Source Lessons
Feedback loops are how systems learn
Any system that cannot observe its own output cannot improve.
The feedback loop has four parts
Action observation evaluation and adjustment form the basic feedback cycle.
Feedback loop hygiene
Regularly check that your feedback loops are still connected to meaningful outcomes.
Monitoring is the feedback loop for your agents
Monitoring completes the feedback loop — observation enables adjustment enables improvement.
Negative feedback loops stabilize
Self-correcting loops maintain balance by countering deviations.
Connections
Defines (63)
AxiomExponential Information DecayAxiomExtended Cognition ThesisAxiomDirected Attention as Depletable ResourceAxiomPerception as Predictive ConstructionAxiomHindsight Bias and Calibration NecessityAxiomTwo-Level Metacognitive ArchitectureAxiomExpertise Transforms Perceptual ChunkingAxiomComplementary Learning Systems ArchitectureAxiomConversational Memory Asymmetry From Production PlanningAxiomUltradian and Circadian Cognitive RhythmsAxiomAttention as Gate to Conscious PerceptionAxiomNeural Plasticity Enables Lifelong Automatic LearningAxiomPatterns Exist in Hierarchical Logical LevelsAxiomPerceptual Plasticity Through TrainingAxiomSystematic Overconfidence TaxonomyAxiomEmotion as Systematic Cognitive ModulatorAxiomGlucose-Cognition Dependency ThresholdAxiomBias Blind Spot AsymmetryAxiomBrain as Hierarchical Prediction MachineAxiomCognition Operates Through Dual Processing SystemsAxiomLooping Effects of Human ClassificationAxiomAutomatic Pattern PerceptionAxiomHierarchical Chunking Expands CapacityAxiomDunbar's Number Limits Stable RelationshipsAxiomBasic-Level Category PrivilegeAxiomExperience Segments into Nested Hierarchical EventsAxiomPiagetian Equilibration Through Schema DynamicsAxiomYou necessarily trust your own cognitive faculties…AxiomReference class forecasting (using base rates from similar…AxiomWhen a habit forms, neural activity spikes at the cue…PrincipleApply the same tags to notes from different domains…PrincipleInstrument systems with the minimum number of metrics…PrincipleConsolidate all agent status information onto a single…PrincipleBenchmark efficiency, accuracy, and quality dimensions…PrincipleAdjust systems when environmental context shifts even…PrincipleWhen designing cognitive agents, examine the full pattern…PrincipleMake context switching costs visible through deliberate…PrincipleBlock your measured peak attention hours on your calendar…PrincipleUse the 'five whys' technique on any significant energy…PrincipleIdentify your information pipeline bottleneck by testing…PrincipleMake the desired transition between behavioral links…PrincipleFor complex cognitive tasks that resist starting, design…PrincipleTo make a replacement behavior competitive…PrincipleConduct functional analysis before attempting extinction…PrincipleDesign experiments to produce intelligent failures—small…PrincipleWeight emotional data more heavily in domains where…PrincipleWhen you experience an emotion in a relationship…PrincipleConnect contribution to direct impact visibility by creatingPrincipleFor each value you pursue, ask 'why do I want this?'…PrincipleImplement structural interventions rather than relying…PrincipleReview accumulated notes in batches spanning weeks or monthsPrincipleBefore applying expertise developed in one domain…PrincipleCognitive offloading must become an automatic daily habit…PrincipleConduct blameless post-mortems that ask what the team…PrincipleWhen learning fails repeatedly despite effort, trace…PrincipleDesign every information artifact with explicit compression…PrincipleWhen multiple valid hierarchies exist for the same data…PrincipleImplement continuous small schema updates based on new…PrincipleWhen learning effort fails repeatedly, question your schema…PrincipleDirect change effort toward what you control (judgments…PrincipleBuild feedback loops into agent systems through regular…PrincipleTreat major changes in goals, team composition, or system…PrincipleSpecify every delegation with five components