Integration of abductive reasoning and constraint optimization in SCIFF

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Abductive Logic Programming (ALP) and Constraint Logic Programming (CLP) share the feature to constrain the set of possible solutions to a program via integrity or CLP constraints. These two frameworks have been merged in works by various authors, which developed efficient abductive proof-procedures empowered with constraint satisfaction techniques. However, while almost all CLP languages provide algorithms for finding an optimal solution with respect to some objective function (and not justanysolution), the issue has received little attention in ALP. In this paper we show how optimisation meta-predicates can be included in abductive proof-procedures, achieving in this way a significant improvement to research and practical applications of abductive reasoning. In the paper, we give the declarative and operational semantics of an abductive proof-procedure that encloses constraint optimization meta-predicates, and we prove soundness in the three-valued completion semantics. In the proof-procedure, the abductive logic program can invoke optimisation meta-predicates, which can invoke abductive predicates, in a recursive way.
Original languageUnknown
Title of host publicationLecture Notes in Computer Science
EditorsPM Hill, DS Warren
Place of PublicationBerlin Heidelberg
PublisherSpringer-Verlag
Pages387-401
Volume5649
ISBN (Print)978-3-642-02845-8
DOIs
Publication statusPublished - 1 Jan 2009
Event25th International Conference on Logic Programming (ICLP 2009) -
Duration: 1 Jan 2009 → …

Conference

Conference25th International Conference on Logic Programming (ICLP 2009)
Period1/01/09 → …

Cite this

Alberti, M. (2009). Integration of abductive reasoning and constraint optimization in SCIFF. In PM. Hill, & DS. Warren (Eds.), Lecture Notes in Computer Science (Vol. 5649, pp. 387-401). Berlin Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-642-02846-5_32