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Learning from Entailment of Logic Programs with Local Variables

  • M. R. K. Krishna Rao
  • A. Sattar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1501)

Abstract

In this paper, we study exact learning of logic programs from entailment and present a polynomial time algorithm to learn a rich class of logic programs that allow local variables and include many standard programs like append, merge, split, delete, member, prefix, suffix, length, reverse, append/4 on lists, tree traversal programs on binary trees and addition, multiplication, exponentiation on natural numbers. Grafting a few aspects of incremental learning [9] onto the framework of learning from entailment [3], we generalize the existing results to allow local variables, which play an important role of sideways information passing in the paradigm of logic programming.

Keywords

Polynomial Time Logic Program Logic Programming Target Program Polynomial Time Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • M. R. K. Krishna Rao
    • 1
  • A. Sattar
    • 1
  1. 1.School of Computing and Information Technology Faculty of Information and Communication TechnologyGriffith UniversityAustralia

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