Principlev1
When adjusting schemas after prediction failures,
When adjusting schemas after prediction failures, distinguish between calibration adjustments (schema correct in structure, wrong in parameters) and structural revisions (missing variables or wrong causal model).
Why This Is a Principle
Derives from Patterns Exist in Hierarchical Logical Levels (hierarchical patterns at multiple scales), Schemas as Knowledge Organization Structures (schemas as knowledge organization), and Piagetian Equilibration Through Schema Dynamics (assimilation vs accommodation). This principle prescribes how to categorize and respond to different types of prediction errors based on their diagnostic implications.