2 Behavior Generation Chain · 2.6 Feedback Update
2.6 Feedback Update
Human Behavior FCA
This page is structured as definition, control variables, causal chain, observable outputs, and boundary, and serves as a canonical definition node in Human Behavior FCA.
Feedback update determines whether the system updates, repeats, stabilizes, or locks into old loops.
This stage reinjects reality outcomes into the chain and recalibrates foreground-entry weighting.
Feedback is not an add-on note; it is a core condition for continuous behavior-system evolution.
Feedback signal clarity determines whether real deviation is detected.
Feedback delay determines update latency.
DMN template-absorption tendency determines revision versus assimilation.
FP iteration capacity determines whether feedback can upgrade structure.
ECN execution-record quality determines evidence usability.
Observable Output → Foreground Entry → Historical Template Matching and Explanation → New Structure Generation → Execution Maintenance → Feedback Update.
Outcomes produced by execution maintenance enter feedback update and reshape the next foreground-entry weighting.
Effective feedback update revises historical template matching and opens space for new-structure generation.
Failed feedback update repeats old routes and raises lock-in probability.
Handling strategies for similar problems improve across review cycles.
After failure, exact replay decreases and observable strategy shifts appear.
Execution stability rises over cycles and breakdown frequency drops.
Long-term repetition patterns decline while update paths become clearer.
Feedback update is not emotional venting or moral evaluation.
This stage does not replace FP new-structure generation or ECN execution maintenance.
The public definition explains chain function only, not admin feedback-storage mechanics.