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@inproceedings{1376008,
author = {Ganian, Robert and Ordyniak, Sebastian and Eiben, Eduard},
address = {USA},
booktitle = {Proceedings of the Thirtieth {AAAI} Conference on Artificial Intelligence},
editor = {Dale Schuurmans, Michael P. Wellman},
keywords = {QBF; treewidth},
howpublished = {elektronická verze "online"},
language = {eng},
location = {USA},
isbn = {978-1-57735-760-5},
pages = {964-970},
publisher = {AAAI Press},
title = {Using Decomposition-Parameters for QBF: Mind the Prefix!},
url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12420},
year = {2016}
}
TY - JOUR
ID - 1376008
AU - Ganian, Robert - Ordyniak, Sebastian - Eiben, Eduard
PY - 2016
TI - Using Decomposition-Parameters for QBF: Mind the Prefix!
PB - AAAI Press
CY - USA
SN - 9781577357605
KW - QBF
KW - treewidth
UR - https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12420
N2 - Similar to the satisfiability (SAT) problem, which can be seen to be the archetypical problem for NP, the quantified Boolean formula problem (QBF) is the archetypical problem for PSPACE. Recently, Atserias and Oliva (2014) showed that, unlike for SAT, many of the well-known decompositional parameters (such as treewidth and pathwidth) do not allow efficient algorithms for QBF. The main reason for this seems to be the lack of awareness of these parameters towards the dependencies between variables of a QBF formula. In this paper we extend the ordinary pathwidth to the QBF-setting by introducing prefix pathwidth, which takes into account the dependencies between variables in a QBF, and show that it leads to an efficient algorithm for QBF. We hope that our approach will help to initiate the study of novel tailor-made decompositional parameters for QBF and thereby help to lift the success of these decompositional parameters from SAT to QBF.
ER -
GANIAN, Robert, Sebastian ORDYNIAK a Eduard EIBEN. Using Decomposition-Parameters for QBF: Mind the Prefix!. Online. In Dale Schuurmans, Michael P. Wellman. \textit{Proceedings of the Thirtieth $\{$AAAI$\}$ Conference on Artificial Intelligence}. USA: AAAI Press, 2016, s.~964-970. ISBN~978-1-57735-760-5.
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