Stammdaten

Titel: A formal proof and simple explanation of the QuickXplain algorithm
Untertitel:
Kurzfassung:

AbstractIn his seminal paper of 2004, Ulrich Junker proposed the QuickXplain algorithm, which provides a divide-and-conquer computation strategy to find within a given set an irreducible subset with a particular (monotone) property. Beside its original application in the domain of constraint satisfaction problems, the algorithm has since then found widespread adoption in areas as different as model-based diagnosis, recommender systems, verification, or the Semantic Web. This popularity is due to the frequent occurrence of the problem of finding irreducible subsets on the one hand, and to QuickXplain’s general applicability and favorable computational complexity on the other hand. However, although (we regularly experience) people are having a hard time understanding QuickXplain and seeing why it works correctly, a proof of correctness of the algorithm has never been published. This is what we account for in this work, by explaining QuickXplain in a novel tried and tested way and by presenting an intelligible formal proof of it. Apart from showing the correctness of the algorithm and excluding the later detection of errors (proof and trust effect), the added value of the availability of a formal proof is, e.g., (i) that the workings of the algorithm often become completely clear only after studying, verifying and comprehending the proof (didactic effect), (ii) that the shown proof methodology can be used as a guidance for proving other recursive algorithms (transfer effect), and (iii) the possibility of providing “gapless” correctness proofs of systems that rely on (results computed by) QuickXplain, such as numerous model-based debuggers (completeness effect).

Schlagworte: Artificial Intelligence, Linguistics and Language, Language and Linguistics
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 07.04.2022 (Online)
Erschienen in: Artificial Intelligence Review
Artificial Intelligence Review
zur Publikation
 ( Springer; D. Liu )
Titel der Serie: -
Bandnummer: 55
Heftnummer: 8
Erstveröffentlichung: Ja
Version: -
Seite: S. 6185 - 6206

Versionen

Keine Version vorhanden
Erscheinungsdatum: 07.04.2022
ISBN (e-book): -
eISSN: 1573-7462
DOI: http://dx.doi.org/10.1007/s10462-022-10149-w
Homepage: -
Open Access
  • Online verfügbar (Open Access)
Erscheinungsdatum: 12.2022
ISBN: -
ISSN: 0269-2821
Homepage: -

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
  • 1020 - Informatik
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
  • Information Systems

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