Implementing modal tableaux using sentential decision diagrams

Rajeev Goré*, Jason Jingshi Li, Thomas Pagram

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    A Sentential Decision Diagram (SDD) is a novel representation of a boolean function which contains a Binary Decision Diagram (BDD) as a subclass. Previous research suggests that BDDs are effective in implementing tableaux-based automated theorem provers. We investigate whether SDDs can offer improved efficiency when used in the same capacity. Preliminarily, we found that SDDs compile faster than BDDs only on large CNF formulae. In general, we found the BDD-based modal theorem prover still outperforms our SDD-based modal theorem prover. However, the SDD-based approach excels over the BDD-based approach in a select subset of benchmarks that have large sizes and modalities that are less nested or fewer in number.

    Original languageEnglish
    Title of host publicationAI 2015
    Subtitle of host publicationAdvances in Artificial Intelligence - 28th Australasian Joint Conference, Proceedings
    EditorsJochen Renz, Bernhard Pfahringer
    PublisherSpringer Verlag
    Pages218-228
    Number of pages11
    ISBN (Print)9783319263496
    DOIs
    Publication statusPublished - 2015
    Event28th Australasian Joint Conference on Artificial Intelligence, AI 2015 - Canberra, Australia
    Duration: 30 Nov 20154 Dec 2015

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9457
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference28th Australasian Joint Conference on Artificial Intelligence, AI 2015
    Country/TerritoryAustralia
    CityCanberra
    Period30/11/154/12/15

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