Stammdaten

Titel: Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach
Untertitel:
Kurzfassung:

Domain-specific heuristics are an essential technique for solving combinatorial problems efficiently. Current approaches to integrate domain-specific heuristics with Answer Set Programming (ASP) are unsatisfactory when dealing with heuristics that are specified non-monotonically on the basis of partial assignments. Such heuristics frequently occur in practice, for example, when picking an item that has not yet been placed in bin packing. Therefore, we present novel syntax and semantics for declarative specifications of domain-specific heuristics in ASP. Our approach supports heuristic statements that depend on the partial assignment maintained during solving, which has not been possible before. We provide an implementation in Alpha that makes Alpha the first lazy-grounding ASP system to support declaratively specified domain-specific heuristics. Two practical example domains are used to demonstrate the benefits of our proposal. Additionally, we use our approach to implement informed search with A*, which is tackled within ASP for the first time. A* is applied to two further search problems. The experiments confirm that combining lazy-grounding ASP solving and our novel heuristics can be vital for solving industrial-size problems.

Schlagworte: Answer Set Programming; ASP; Heuristics;
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 05.01.2023 (Online)
Erschienen in: Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
zur Publikation
 ( )
Titel der Serie: -
Bandnummer: 76
Heftnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 59 - 114

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Erscheinungsdatum: 05.01.2023
ISBN (e-book): -
eISSN: -
DOI: -
Homepage: https://doi.org/10.1613/jair.1.14091
Open Access
  • Online verfügbar (Open Access)

Zuordnung

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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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   aics-office@aau.at
https://www.aau.at/en/aics/
zur Organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Kategorisierung

Sachgebiete
  • 102 - 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
  • Intelligente Systeme und Wirtschaftsinformatik

Kooperationen

Organisation Adresse
TU Wien
Österreich - Wien
AT  

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