License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.TIME.2019.11
URN: urn:nbn:de:0030-drops-113699
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11369/
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Hossain, Akash ; Laroussinie, François

From Quantified CTL to QBF

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LIPIcs-TIME-2019-11.pdf (0.6 MB)


Abstract

QCTL extends the temporal logic CTL with quantifications over atomic propositions. This extension is known to be very expressive: QCTL allows us to express complex properties over Kripke structures (it is as expressive as MSO). Several semantics exist for the quantifications: here, we work with the structure semantics, where the extra propositions label the Kripke structure (and not its execution tree), and the model-checking problem is known to be PSPACE-complete in this framework. We propose a model-checking algorithm for QCTL based on a reduction to QBF. We consider several reduction strategies, and we compare them with a prototype (based on the SMT-solver Z3) on several examples.

BibTeX - Entry

@InProceedings{hossain_et_al:LIPIcs:2019:11369,
  author =	{Akash Hossain and Fran{\c{c}}ois Laroussinie},
  title =	{{From Quantified CTL to QBF}},
  booktitle =	{26th International Symposium on Temporal Representation and Reasoning (TIME 2019)},
  pages =	{11:1--11:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-127-6},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{147},
  editor =	{Johann Gamper and Sophie Pinchinat and Guido Sciavicco},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11369},
  URN =		{urn:nbn:de:0030-drops-113699},
  doi =		{10.4230/LIPIcs.TIME.2019.11},
  annote =	{Keywords: Model-checking, Quantified CTL, QBF solvers, SAT based model-checking}
}

Keywords: Model-checking, Quantified CTL, QBF solvers, SAT based model-checking
Collection: 26th International Symposium on Temporal Representation and Reasoning (TIME 2019)
Issue Date: 2019
Date of publication: 07.10.2019


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