Learning a mapping involves finding regularities in a training set and generalization to novel patterns. Clark & Thornton's type distinction has been discussed in terms of generalization, but has limited value in this respect. However, in terms of detection of regularities in the training set, the distinction is more valid, as it provides a measure of complexity and correlates with the size of search space.