License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ICLP.2018.3
URN: urn:nbn:de:0030-drops-98694
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9869/
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Zhang, Zhizheng

Introspecting Preferences in Answer Set Programming

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OASIcs-ICLP-2018-3.pdf (0.4 MB)

Abstract

This paper develops a logic programming language, ASP^EP, that extends answer set programming language with a new epistemic operator >~_x where x in {#,supseteq}. The operator are used between two literals in rules bodies, and thus allows for the representation of introspections of preferences in the presence of multiple belief sets: G >~_# F expresses that G is preferred to F by the cardinality of the sets, and G >~_supseteq F expresses G is preferred to F by the set-theoretic inclusion. We define the semantics of ASP^EP, explore the relation to the languages of strong introspections, and study the applications of ASP^EP by modeling the Monty Hall problem and the principle of majority.

BibTeX - Entry

@InProceedings{zhang:OASIcs:2018:9869,
  author =	{Zhizheng Zhang},
  title =	{{Introspecting Preferences in Answer Set Programming}},
  booktitle =	{Technical Communications of the 34th International  Conference on Logic Programming (ICLP 2018)},
  pages =	{3:1--3:13},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-090-3},
  ISSN =	{2190-6807},
  year =	{2018},
  volume =	{64},
  editor =	{Alessandro Dal Palu' and Paul Tarau and Neda Saeedloei and Paul Fodor},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9869},
  URN =		{urn:nbn:de:0030-drops-98694},
  doi =		{10.4230/OASIcs.ICLP.2018.3},
  annote =	{Keywords: Answer Set, Preference, Introspection}
}

Keywords: Answer Set, Preference, Introspection
Collection: Technical Communications of the 34th International Conference on Logic Programming (ICLP 2018)
Issue Date: 2018
Date of publication: 19.11.2018

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