p221fig05.30 When a predictive disconfirmation occurs, vigilance increases enough to drive a search for a more predictive category.  If vigilance increases just enough to exceed the analog match between features that survive top-down matching and the entire bottom-up input pattern, then minimax learning occurs.  In this case, the minimum amount of category generalization is given up to correct the predictive error.<BR>||  Match tracking realizes minimax learning principle.  Given a predictive error, vigilance increases just enough to trigger search and thus acrifices the minimum generalization to correct the error ... and enables expert knowledge to be incrementally learned.  predictive error -> vigilance increase just enough -> minimax learning