Publication:
Constraints, lazy constraints, or propagators in ASP solving: An empirical analysis

dc.contributor.authorsCuteri, Bernardo; Dodaro, Carmine; Ricca, Francesco; Schüller, Peter
dc.date.accessioned2022-03-02T05:40:02Z
dc.date.accessioned2026-01-10T21:41:13Z
dc.date.available2022-03-02T05:40:02Z
dc.date.issued2017-09
dc.description.abstractAbstract Answer set programming (ASP) is a well-established declarative paradigm. One of the successes of ASP is the availability of efficient systems. State-of-the-art systems are based on the ground+solve approach. In some applications, this approach is infeasible because the grounding of one or a few constraints is expensive. In this paper, we systematically compare alternative strategies to avoid the instantiation of problematic constraints, which are based on custom extensions of the solver. Results on real and synthetic benchmarks highlight some strengths and weaknesses of the different strategies.
dc.identifier.doi10.1017/S1471068417000254
dc.identifier.issn1471-0684, 1475-3081
dc.identifier.issue5-6
dc.identifier.pages780-799
dc.identifier.urihttps://hdl.handle.net/11424/218564
dc.identifier.volume17
dc.language.isoeng
dc.relation.urihttps://www.cambridge.org/core/product/identifier/S1471068417000254/type/journal_article
dc.titleConstraints, lazy constraints, or propagators in ASP solving: An empirical analysis
dc.title.alternativeConstraints, lazy constraints, or propagators in ASP solving
dc.typearticle
dspace.entity.typePublication

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