Presents a hybrid ACT-R model that shows U-shaped learning of the English past tense without direct feedback, changes in vocabulary, or unrealistically high rates of regular verbs. Illustrates that the model can learn the default rule, even if regular forms are infrequent. Shows that the model can explore the question of why there is a distinction between regular and irregular verbs by examining their costs and benefits. (Author/KB)