Principlev1

Treat unexpected outcomes as automatic triggers for schema

Treat unexpected outcomes as automatic triggers for schema re-validation, as surprise signals that at least one schema in your stack has drifted out of calibration.

Why This Is a Principle

Follows from Brain as Hierarchical Prediction Machine (prediction errors propagate upward) and Learning occurs when outcomes differ from predictions, (learning requires prediction error). Prescribes using prediction failures as validation triggers. This operationalizes active inference principles.

Source Lessons

L-0299

Continuous validation not one-time testing

Schemas need ongoing testing because the world they model keeps changing.

Connections

Derived From (2)

AxiomBrain as Hierarchical Prediction Machine AxiomLearning occurs when outcomes differ from predictions,

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