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dc.contributor.authorDimopoulos, Yannisen
dc.contributor.authorNebel, B.en
dc.contributor.authorToni, F.en
dc.creatorDimopoulos, Yannisen
dc.creatorNebel, B.en
dc.creatorToni, F.en
dc.date.accessioned2019-11-13T10:39:55Z
dc.date.available2019-11-13T10:39:55Z
dc.date.issued1999
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53874
dc.description.abstractBased on an abstract framework for nonmonotonic reasoning, Bondarenko et at. have extended the logic programming semantics of admissible and preferred arguments to other nonmonotonic formalisms such as circumscription, autoepisternic logic and default logic. Although the new semantics have been tacitly assumed to mitigate the computational problems of nonmonotonic reasoning under the standard semantics of stable extensions, it seems questionable whether they improve the worst-case behaviour. As a matter of fact, we show that credulous reasoning under the new semantics in propositional logic programming and prepositional default logic has the same computational complexity as under the standard semantics. Furthermore, sceptical reasoning under the admissibility semantics is easier - since it is trivialised to monotonic reasoning. Finally, sceptical reasoning under the preferability semantics is harder than under the standard semantics.en
dc.sourceIJCAI International Joint Conference on Artificial Intelligenceen
dc.source16th International Joint Conference on Artificial Intelligence, IJCAI 1999en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0000411688&partnerID=40&md5=628e6562fb7650511550f1897b8e9853
dc.subjectArtificial intelligenceen
dc.subjectSemanticsen
dc.subjectLogic programmingen
dc.subjectFormal logicen
dc.subjectPropositional logicen
dc.subjectDefault logicen
dc.subjectNon-monotonic reasoningen
dc.subjectNonmonotonicen
dc.subjectAbstract frameworken
dc.subjectAdmissibility semanticsen
dc.subjectComputational problemen
dc.subjectLogic programming semanticsen
dc.titlePreferred arguments are harder to compute than stable extensionsen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.description.volume1
dc.description.startingpage36
dc.description.endingpage41
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: International Joint Conferences on Artificialen
dc.description.notesIntelligence, Inc. (IJCAII)en
dc.description.notesScandinavian AI Societiesen
dc.description.notesEricssonen
dc.description.notesMicrosoften
dc.description.notesConference code: 97869en
dc.description.notesCited By :28</p>en
dc.contributor.orcidDimopoulos, Yannis [0000-0001-9583-9754]
dc.gnosis.orcid0000-0001-9583-9754


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