Constraint Limited Generalization: Acquiring Procedures from Examples

Book One

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 4

Learning

Generallzatlon is an essential part of any system that can acquire knowledge from examples. l argue that generallzatlon must be limited by a variety of constraints in order to be useful. This paper gives three principles on how generallzation processes should be constrained. It also describes a system for acquiring procedures from examples which is based on these principles and is used to illustrate them.