E-generalization using grammars

We extend the notion of anti-unification to cover equational theories and present a method based on regular tree grammars to compute a finite representation of E-generalization sets. We present a framework to combine Inductive Logic Pro-gramming and E-generalization that includes an extension of Plotkin’s lgg theorem to the equational case. We demonstrate the potential power of E-generalization by three example applications: computation of suggestions for auxiliary lemmas in equational inductive proofs, computation of construction laws for given term se-quences, and learning of screen editor command sequences. Key words: equational theory, generalization, inductive logic programming