A fully connectionist model generator for covered first-order logic programs

  • Authors:
  • Sebastian Bader;Pascal Hitzler;Steffen Hölldobler;Andreas Witzel

  • Affiliations:
  • International Center for Computational Logic, Technische Universität Dresden, Germany;AIFB, Universität Karlsruhe, Germany;International Center for Computational Logic, Technische Universität Dresden, Germany;Institute for Logic, Language and Computation, Universiteit van Amsterdam

  • Venue:
  • IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
  • Year:
  • 2007

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Abstract

We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples, we embed the associated semantic operator into a feed-forward network and train the network using the examples. This results in the learning of first-order knowledge while damaged or noisy data is handled gracefully.