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A class of prolog programs inferable from positive data

  • M. R. K. Krishna Rao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1160)

Abstract

In this paper, we identify a class of Prolog programs inferable from positive data. Our approach is based on moding information and linear predicate inequalities between input terms and output terms. Our results generalize the results of Arimura and Shinohara [4]. Standard programs for reverse, quick-sort, merge-sort are a few examples of programs that can be handled by our results but not by the earlier results of [4]. The generality of our results follows from the fact that we treat logical variables as transmitters for broadcasting communication, whereas Arimura and Shinohara [4] treat them as point-to-point communication channels.

Keywords

Logic Program Logic Programming Inductive Inference Regular Language Positive Data 
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 1996

Authors and Affiliations

  • M. R. K. Krishna Rao
    • 1
  1. 1.Max-Planck-Institut für InformatikSaarbrückenGermany

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