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Bounds on the Size of PC and URC Formulas

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    SYSNO ASEP0536433
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleBounds on the Size of PC and URC Formulas
    Author(s) Kučera, P. (CZ)
    Savický, Petr (UIVT-O) SAI, RID, ORCID
    Source TitleJournal of Artificial Intelligence Research. - : AAAI Press - ISSN 1076-9757
    Roč. 69, 24 December (2020), s. 1395-1420
    Number of pages26 s.
    Publication formPrint - P
    Languageeng - English
    CountryUS - United States
    Keywordsautomated reasoning ; knowledge representation ; satisfiability
    Subject RIVIN - Informatics, Computer Science
    OECD categoryComputer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    R&D ProjectsGA19-19463S GA ČR - Czech Science Foundation (CSF)
    Method of publishingOpen access
    Institutional supportUIVT-O - RVO:67985807
    UT WOS000606811900034
    EID SCOPUS85099380435
    DOI10.1613/JAIR.1.12006
    AnnotationIn this paper, we investigate CNF encodings, for which unit propagation is strong enough to derive a contradiction if the encoding is not consistent with a partial assignment of the variables (unit refutation complete or URC encoding) or additionally to derive all implied literals if the encoding is consistent with the partial assignment (propagation complete or PC encoding). We prove an exponential separation between the sizes of PC and URC encodings without auxiliary variables and strengthen the known results on their relationship to the PC and URC encodings that can use auxiliary variables. Besides of this, we prove that the sizes of any two irredundant PC formulas representing the same function differ at most by a factor polynomial in the number of the variables and present an example of a function demonstrating that a similar statement is not true for URC formulas. One of the separations above implies that a q-Horn formula may require an exponential number of additional clauses to become a URC formula. On the other hand, for every q-Horn formula, we present a polynomial size URC encoding of the same function using auxiliary variables. This encoding is not q-Horn in general.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2021
    Electronic addresshttp://hdl.handle.net/11104/0314210
Number of the records: 1  

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