In a typical learning scenario, an automated procedure iteratively proposes rule modifications and adopts them only in those cases in which an objective function--that is, the evaluation method--indicates that performance has improved.
it is absolutely crucial that both positive and negative system changes are reflected as such in the feedback provided by the scoring mechanism.