Stammdaten

Titel: Evaluating Epistemic Logic Programs via Answer SetProgramming with Quantifiers
Untertitel:
Kurzfassung:

In this paper we introduce a simple way to evaluate epistemic logic programs by means of answer setprogramming with quantifiers, a recently proposed extension of answer set programming. The methodcan easily be adapted for most of the many semantics that were proposed for epistemic logic programs.We evaluate the proposed transformation on existing benchmarks using a recently proposed solver foranswer set programming with quantifiers, which relies on QBF solvers.

Schlagworte: Epistemic Logic Programs, Answer Set Programming with Quantifiers, Answer Set Programming
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Erscheinungsdatum: 21.11.2022 (Online)
Erschienen in: Joint Proceedings of the 1st International Workshop on HYbrid Models for Coupling Deductive and Inductive ReAsoning (HYDRA 2022) and the 29th RCRA Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion (RCRA 2022) co-located with the 16th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2022), Genova Nervi, Italy, September 5, 2022
Joint Proceedings of the 1st International Workshop on HYbrid Models for Coupling Deductive and Inductive ReAsoning (HYDRA 2022) and the 29th RCRA Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion (RCRA 2022) co-located with the 16th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2022), Genova Nervi, Italy, September 5, 2022
zur Publikation
 ( P. Bruno, F. Calimeri , F. Cauteruccio , M. Maratea, G. Terracina , M. Vallati )
Titel der Serie: CEUR Workshop Proceedings
Bandnummer: 3281
Erstveröffentlichung: Ja
Version: -
Seite: S. 78 - 89

Versionen

Keine Version vorhanden
Erscheinungsdatum: 21.11.2022
ISBN (e-book): -
eISSN: 1613-0073
DOI: -
Homepage: http://ceur-ws.org/Vol-3281/paper7.pdf
Open Access
  • Online verfügbar (Open Access)

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Fakultät für Technische Wissenschaften
 
Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
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zur Organisation
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Kategorisierung

Sachgebiete
  • 102001 - Artificial Intelligence
  • 102030 - Semantische Technologien
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Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Semantic Systems

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