Luc Nicolas Spachmann

dblp:353/7657 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2026
—ORCID · unresolved

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Theory of computation · 4 · 4 since 2021Artificial intelligence and machine learning · 3 · 3 since 2021
YearPublicationVenuePosition
2026 Proof Systems for QBF Synthesis: Extracting Skolem and Herbrand Functions
abstract
Strategy extraction in QBF proof systems usually attempts to extract winning strategies from valid proofs. However, an alternative (and arguably more powerful) view is to extract Skolem/Herbrand functions, or equivalently synthesis of the game values at all intermediate points. In this paper, we investigate the existence and properties of such proof systems from which one can extract Skolem and Herbrand functions. We propose such a proof system for QBF, which we show is sound and complete, and from which extraction of Skolem/Herbrand functions can be performed, and game values computed, in polynomial time. We also show that this system is optimal among all proof systems that allow efficient extraction of Skolem/Herbrand functions. We provide conditional lower bound results for our new proof system and compare it to several existing/standard proof systems for QBF that have been studied in the literature, showing interesting orthogonality results. Finally, we provide a compilation algorithm that takes an arbitrary QBF and synthesizes a proof in our system, from which Skolem and Herbrand functions can be easily computed.
S. Akshay 0001, Olaf Beyersdorff, Supratik Chakraborty, Lea Kasche, Meena Mahajan, Luc Nicolas Spachmann
SAT6
2025 Semi-Algebraic Proof Systems for QBF
Olaf Beyersdorff, Ilario Bonacina, Kaspar Kasche, Meena Mahajan, Luc Nicolas Spachmann
SAT5
2024 Polynomial Calculus for Quantified Boolean Logic: Lower Bounds Through Circuits and Degree
Olaf Beyersdorff, Tim Hoffmann, Kaspar Kasche, Luc Nicolas Spachmann
MFCS4
2023 Proof Complexity of Propositional Model Counting
Olaf Beyersdorff, Tim Hoffmann, Luc Nicolas Spachmann
SAT3