Beyersdorff, O orcid.org/0000-0002-2870-1648, Chew, L and Janota, M (2016) Extension Variables in QBF Resolution. In: AAAI Workshop: Beyond NP. AAAI-16 workshop on Beyond NP, 12-13 Feb 2016, Phoenix, Arizona USA. Association for the Advancement of Artificial Intelligence
Abstract
We investigate two QBF resolution systems that use extension variables: weak extended Q-resolution, where the extension variables are quantified at the innermost level, and extended Q-resolution, where the extension variables can be placed inside the quantifier prefix. These systems have been considered previously by (Jussila et al. 2007), who give experimental evidence that extended Q-resolution is stronger than weak extended Q-resolution. Here we prove an exponential separation between the two systems, thereby confirming the conjecture of (Jussila et al. 2007). Conceptually, this separation relies on showing strategy extraction for weak extended Q-resolution by boundeddepth circuits. In contrast, we show that this strong strategy extraction result fails in extended Q-resolution.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/L024233/1 John Templeton Foundation - DO NOT USE 48138 |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Dec 2015 14:17 |
Last Modified: | 23 Mar 2018 12:40 |
Status: | Published |
Publisher: | Association for the Advancement of Artificial Intelligence |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:92568 |