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摘要
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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 proofs, computation of construction laws for given term sequences, and learning of screen editor command sequences. (c) 2005 Elsevier B.V. All rights reserved.
Keyword:
equational theory
generalization
inductive logic programming
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Inductive logic programming: Issues, results and the challenge of learning language in logic归纳逻辑编程: 学习逻辑语言的问题,结果和挑战
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