Generalizing Programs via Subsumption

TitleGeneralizing Programs via Subsumption
Publication TypeJournal Papers
Year of Publication2003
AuthorsGutiérrez-Naranjo, M. A., Alonso-Jiménez J. A., & Borrego-Díaz J.
Journal TitleLecture Notes in Computer Science
ISBN Number978-3-540-20221-9
PublisherSpringer
Place PublishedAmsterdam, The Netherlands
Volume2809
Pages115-126
Abstract

In this paper we present a class of operators for Machine Learning based on Logic Programming which represents a characterization of the subsumption relation in the following sense: The clause C1 subsumes the clause C2 iff C1 can be reached from C2 by applying these operators. We give a formalization of the closeness among clauses based on these operators and an algorithm to compute it as well as a bound for a quick estimation. We extend the operator to programs and we also get a characterization of the subsumption between programs. Finally, a weak metric is presented to compute the closeness among programs based on subsumption.

URLhttp://www.springerlink.com/index/e2n91gjuq95a5v1l.pdf
ISSN Number0302-9743