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Cautious reasoning in ASP via minimal models and unsatisfiable cores

Published online by Cambridge University Press:  10 August 2018

MARIO ALVIANO ,
CARMINE DODARO Open the ORCID record for CARMINE DODARO [Opens in a new window] ,
MATTI JÄRVISALO ,
MARCO MARATEA  and
ALESSANDRO PREVITI
MARIO ALVIANO
Affiliation:
DEMACS, University of Calabria, Italy (e-mail: [email protected])
CARMINE DODARO
Affiliation:
DIBRIS, University of Genova, Italy (e-mail: [email protected])
MATTI JÄRVISALO
Affiliation:
HIIT, Department of Computer Science, University of Helsinki, Finland (e-mail: [email protected])
MARCO MARATEA
Affiliation:
DIBRIS, University of Genova, Italy (e-mail: [email protected])
ALESSANDRO PREVITI
Affiliation:
HIIT, Department of Computer Science, University of Helsinki, Finland (e-mail: [email protected])
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Abstract

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Answer Set Programming (ASP) is a logic-based knowledge representation framework, supporting—among other reasoning modes—the central task of query answering. In the propositional case, query answering amounts to computing cautious consequences of the input program among the atoms in a given set of candidates, where a cautious consequence is an atom belonging to all stable models. Currently, the most efficient algorithms either iteratively verify the existence of a stable model of the input program extended with the complement of one candidate, where the candidate is heuristically selected, or introduce a clause enforcing the falsity of at least one candidate, so that the solver is free to choose which candidate to falsify at any time during the computation of a stable model. This paper introduces new algorithms for the computation of cautious consequences, with the aim of driving the solver to search for stable models discarding more candidates. Specifically, one of such algorithms enforces minimality on the set of true candidates, where different notions of minimality can be used, and another takes advantage of unsatisfiable cores computation. The algorithms are implemented in wasp, and experiments on benchmarks from the latest ASP competitions show that the new algorithms perform better than the state of the art.

Keywords

Answer Set ProgrammingCautious ReasoningQuery Answering
Type
Original Article
Information
Theory and Practice of Logic Programming , Volume 18 , Special Issue 3-4: 34th International Conference on Logic Programming , July 2018 , pp. 319 - 336
Copyright
Copyright © Cambridge University Press 2018 

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