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DOI: 10.4230/LIPIcs.ICLP.2010.281

Higher-order Logic Learning and lambda-Progol

Authors: Niels Pahlavi

Published in: LIPIcs, Volume 7, Technical Communications of the 26th International Conference on Logic Programming (2010)

Abstract

We present our research produced about Higher-order Logic Learning (HOLL), which consists of adapting First-order Logic Learning (FOLL), like Inductive Logic Programming (ILP), within a Higher-order Logic (HOL) context. We describe a first working implementation of lambda-Progol, a HOLL system adapting the ILP system Progol and the HOL formalism lambda-Prolog. We compare lambda-Progol and Progol on the learning of recursive theories showing that HOLL can, in these cases, outperform FOLL.

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Niels Pahlavi. Higher-order Logic Learning and lambda-Progol. In Technical Communications of the 26th International Conference on Logic Programming. Leibniz International Proceedings in Informatics (LIPIcs), Volume 7, pp. 281-285, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{pahlavi:LIPIcs.ICLP.2010.281,
  author =	{Pahlavi, Niels},
  title =	{{Higher-order Logic Learning and lambda-Progol}},
  booktitle =	{Technical Communications of the 26th International Conference on Logic Programming},
  pages =	{281--285},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-17-0},
  ISSN =	{1868-8969},
  year =	{2010},
  volume =	{7},
  editor =	{Hermenegildo, Manuel and Schaub, Torsten},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICLP.2010.281},
  URN =		{urn:nbn:de:0030-drops-26098},
  doi =		{10.4230/LIPIcs.ICLP.2010.281},
  annote =	{Keywords: Inductive Logic Programming, Progol, Higher-order Logic, Higher-order Logic Learning, \$lambda\$Prolog}
}

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Higher-order Logic Learning and lambda-Progol

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