Stammdaten

Titel: Thirty years of Epistemic Specifications
Untertitel:
Kurzfassung:

Abstract The language of epistemic specifications and epistemic logic programs extends disjunctive logic programs under the stable model semantics with modal constructs called subjective literals. Using subjective literals, it is possible to check whether a regular literal is true in every or some stable models of the program, those models, in this context also called belief sets, being collected in a set called world view. This allows for representing, within the language, whether some proposition should be understood accordingly to the open or the closed world assumption. Several attempts for capturing the intuitions underlying the language by means of a formal semantics were given, resulting in a multitude of proposals that makes it difficult to understand the current state of the art. In this article, we provide an overview of the inception of the field and the knowledge representation and reasoning tasks it is suitable for. We also provide a detailed analysis of properties of proposed semantics, and an outlook of challenges to be tackled by future research in the area.

Schlagworte: Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Theoretical Computer Science, Software
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 08.11.2021 (Online)
Erschienen in: Theory and Practice of Logic Programming
Theory and Practice of Logic Programming
zur Publikation
 ( Cambridge University Press; M. Truszczynski )
Titel der Serie: -
Bandnummer: 22
Heftnummer: 6
Erstveröffentlichung: Ja
Version: -
Seite: S. 1043 - 1083

Versionen

Keine Version vorhanden
Erscheinungsdatum: 08.11.2021
ISBN (e-book): -
eISSN: 1475-3081
DOI: http://dx.doi.org/10.1017/s147106842100048x
Homepage: https://doi.org/10.1017/S147106842100048X
Open Access
  • Online verfügbar (Open Access)
Erscheinungsdatum: 2022
ISBN: -
ISSN: 1471-0684
Homepage: https://arxiv.org/abs/2108.07669

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
zur Organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Kategorisierung

Sachgebiete
  • 102001 - Artificial Intelligence
  • 102011 - Formale Sprachen
  • 102028 - Knowledge Engineering
  • 102030 - Semantische Technologien
  • 102032 - Computational Intelligence
Forschungscluster Kein Forschungscluster ausgewählt
Zitationsindex
  • Science Citation Index Expanded (SCI Expanded)
Informationen zum Zitationsindex: Master Journal List
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Semantic Systems

Kooperationen

Organisation Adresse
University of Nebraska Omaha
Omaha
Vereinigte St. v. Amerika
US  Omaha
University of Potsdam, Institute of Computer Science
14482 Potsdam
Deutschland
DE - 14482  Potsdam
Texas Tech University
Texas
Vereinigte St. v. Amerika
US  Texas

Beiträge der Publikation

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