Extending EBG to Term-Rewriting Systems

Philip Laird, Evan Gamble

We show that the familiar explanation-based generalization (EBG) procedure is applicable to a large family of programming languages, including three families of importance to AI: logic programming (such as Prolog); lambda calculus (such as LISP); and combinator languages (such as FP). The main application of this result is to extend the algorithm to domains for which predicate calculus is a poor representation. In addition, many issues in analytical learning become clearer and easier to reason about.


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