Least Generalizations under Implication

نویسندگان

  • Shan-Hwei Nienhuys-Cheng
  • Ronald de Wolf
چکیده

One of the most prominent approaches in Inductive Logic Programming is the use of least generalizations under subsumption of given clauses. However, subsumption is weaker than logical implication, and not very well suited for handling recursive clauses. Therefore an important open question in this area concerns the existence of least generalizations under implication (LGIs). Our main new result in this paper is the existence and computability of such an LGI for any nite set of clauses which contains at least one non-tautologous function-free clause. We can also deene implication relative to background knowledge. In this case, least generalizations only exist in a very limited case.

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تاریخ انتشار 1996