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E-generalization using grammars
2005
Artificial Intelligence
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 Programming 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
doi:10.1016/j.artint.2005.01.008
fatcat:jookh6gakje45ljufuzytgczom