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Inductive Logic Programming as Abductive Search

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Abstract

We present a novel approach to non-monotonic ILP and its implementation called TAL (Top-directed Abductive Learning). TAL overcomes some of the completeness problems of ILP systems based on Inverse Entailment and is the first top-down ILP system that allows background theories and hypotheses to be normal logic programs. The approach relies on mapping an ILP problem into an equivalent ALP one. This enables the use of established ALP proof procedures and the specification of richer language bias with integrity constraints. The mapping provides a principled search space for an ILP problem, over which an abductive search is used to compute inductive solutions.

BibTeX - Entry

@InProceedings{corapi_et_al:LIPIcs:2010:2583,
  author =	{Domenico Corapi and Alessandra Russo and Emil Lupu},
  title =	{{Inductive Logic Programming as Abductive Search}},
  booktitle =	{Technical Communications of the 26th International Conference on Logic Programming},
  pages =	{54--63},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-17-0},
  ISSN =	{1868-8969},
  year =	{2010},
  volume =	{7},
  editor =	{Manuel Hermenegildo and Torsten Schaub},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2010/2583},
  URN =		{urn:nbn:de:0030-drops-25838},
  doi =		{http://dx.doi.org/10.4230/LIPIcs.ICLP.2010.54},
  annote =	{Keywords: Inductive Logic Programming, Abductive Logic Programming, Non-monotonic Reasoning}
}

Keywords: Inductive Logic Programming, Abductive Logic Programming, Non-monotonic Reasoning
Seminar: Technical Communications of the 26th International Conference on Logic Programming
Issue date: 2010
Date of publication: 2010


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