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Learning from experience is hard, and predicting how well what we have learned will serve us in the future is even harder. The most useful lessons turn out to be those that are insensitive to small changes in our experience. A hallmark of intelligent learning is that we can apply what we have learned to new situations. In the mathematical theory of learning, this ability is called generalization.

Learning theory: Past performance and future results