License: Creative Commons Attribution-NoDerivs 3.0 Unported license (CC BY-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICLP.2012.267
URN: urn:nbn:de:0030-drops-36280
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2012/3628/
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Nieves, Juan Carlos ; Lindgren, Helena

Possibilistic Nested Logic Programs

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Abstract

We introduce the class of possibilistic nested logic programs. These possibilistic logic programs allow us to use nested expressions in the bodies and the heads of their rules. By considering a
possibilistic nested logic program as a possibilistic theory, a construction of a possibilistic logic programing semantics based on answer sets for nested logic programs and the proof theory of
possibilistic logic is defined. We show that this new semantics for possibilistic logic programs is computable by means of transforming possibilistic nested logic programs into possibilistic disjunctive logic programs. The expressiveness of the possibilistic nested logic programs is illustrated by scenarios from the medical domain. In particular, we exemplify how possibilistic nested logic programs are expressive enough for capturing medical guidelines which are pervaded of vagueness and qualitative information.

BibTeX - Entry

@InProceedings{nieves_et_al:LIPIcs:2012:3628,
  author =	{Juan Carlos Nieves and Helena Lindgren},
  title =	{{Possibilistic Nested Logic Programs}},
  booktitle =	{Technical Communications of the 28th International Conference on Logic Programming (ICLP'12)},
  pages =	{267--276},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-43-9},
  ISSN =	{1868-8969},
  year =	{2012},
  volume =	{17},
  editor =	{Agostino Dovier and V{\'i}tor Santos Costa},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2012/3628},
  URN =		{urn:nbn:de:0030-drops-36280},
  doi =		{10.4230/LIPIcs.ICLP.2012.267},
  annote =	{Keywords: Answer Set Programming, Uncertain Information, Possibilistic Reasoning}
}

Keywords: Answer Set Programming, Uncertain Information, Possibilistic Reasoning
Collection: Technical Communications of the 28th International Conference on Logic Programming (ICLP'12)
Issue Date: 2012
Date of publication: 05.09.2012

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