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Journal of Logic and Computation
Article . 2006 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2006
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2007
Data sources: DBLP
DBLP
Article . 2006
Data sources: DBLP
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Complexity of the Guarded Two-variable Fragment with Counting Quantifiers

Authors: Ian Pratt-Hartmann;

Complexity of the Guarded Two-variable Fragment with Counting Quantifiers

Abstract

We show that the finite satisfiability problem for the guarded two-variable fragment with counting quantifiers is in EXPTIME. The method employed also yields a simple proof of a result recently obtained by Y. Kazakov, that the satisfiability problem for the guarded two-variable fragment with counting quantifiers is in EXPTIME.

20 pages, 3 figures

Country
United Kingdom
Related Organizations
Keywords

FOS: Computer and information sciences, Guarded fragment, Computer Science - Logic in Computer Science, Computer Science - Computational Complexity, Logic, Complexity, Counting quantifiers, Two-variable fragment, Computational Complexity (cs.CC), Logic in Computer Science (cs.LO)

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
Green
bronze