Principlev1
Convert captured surprises into precisely-formed open
Convert captured surprises into precisely-formed open questions that activate as persistent attentional filters, directing future information-gathering toward resolving the revealed model gap.
Why This Is a Principle
This derives from Goals as Perceptual Filters (goals function as perceptual filters) and Brain as Hierarchical Prediction Machine (prediction errors propagate upward for model revision). The principle prescribes converting prediction errors into goal-like questions that filter subsequent perception toward information that would update the model.