Strong Backdoors for Default Logic

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  • TU Wien (TUW)
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Details

Original languageEnglish
Title of host publicationTheory and Applications of Satisfiability Testing – SAT 2016 - 19th International Conference, Proceedings
EditorsDaniel Le Berre, Nadia Creignou
Place of PublicationCham
Pages45-59
Number of pages15
ISBN (electronic)978-3-319-40970-2
Publication statusPublished - 2016
Event19th International Conference on Theory and Applications of Satisfiability Testing, SAT 2016 - Bordeaux, France
Duration: 5 Jul 20168 Jul 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9710
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Abstract

In this paper, we introduce a notion of backdoors to Reiter’s propositional default logic and study structural properties of it. Also we consider the problems of backdoor detection (parameterised by the solution size) as well as backdoor evaluation (parameterised by the size of the given backdoor), for various kinds of target classes (cnf, horn, krom, monotone, positive-unit). We show that backdoor detection is fixed-parameter tractable for the considered target classes, and backdoor evaluation is either fixed-parameter tractable, in para-Δ2, or in para-NP, depending on the target class. Acknowledgements. The first author gratefully acknowledges support by the Austrian Science Fund (FWF), Grant Y698. He is also affiliated with the Institute of Computer Science and Computational Science at University of Potsdam, Germany. The second and third author gratefully acknowledge support by the German Research Foundation (DFG), Grant ME 4279/1-1. The authors thank Jonni Virtema for pointing out Lemma 6 and Sebastian Ordyniak for discussions on Lemma 11. The authors acknowledge the helpful comments of the anonymous reviewers.

Cite this

Strong Backdoors for Default Logic. / Fichte, Johannes Klaus; Meier, Arne; Schindler, Irina.
Theory and Applications of Satisfiability Testing – SAT 2016 - 19th International Conference, Proceedings. ed. / Daniel Le Berre; Nadia Creignou. Cham, 2016. p. 45-59 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9710).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Fichte, JK, Meier, A & Schindler, I 2016, Strong Backdoors for Default Logic. in D Le Berre & N Creignou (eds), Theory and Applications of Satisfiability Testing – SAT 2016 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9710, Cham, pp. 45-59, 19th International Conference on Theory and Applications of Satisfiability Testing, SAT 2016, Bordeaux, France, 5 Jul 2016. https://doi.org/10.1007/978-3-319-40970-2_4
Fichte, J. K., Meier, A., & Schindler, I. (2016). Strong Backdoors for Default Logic. In D. Le Berre, & N. Creignou (Eds.), Theory and Applications of Satisfiability Testing – SAT 2016 - 19th International Conference, Proceedings (pp. 45-59). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9710).. https://doi.org/10.1007/978-3-319-40970-2_4
Fichte JK, Meier A, Schindler I. Strong Backdoors for Default Logic. In Le Berre D, Creignou N, editors, Theory and Applications of Satisfiability Testing – SAT 2016 - 19th International Conference, Proceedings. Cham. 2016. p. 45-59. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2016 Jun 11. doi: 10.1007/978-3-319-40970-2_4
Fichte, Johannes Klaus ; Meier, Arne ; Schindler, Irina. / Strong Backdoors for Default Logic. Theory and Applications of Satisfiability Testing – SAT 2016 - 19th International Conference, Proceedings. editor / Daniel Le Berre ; Nadia Creignou. Cham, 2016. pp. 45-59 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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