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The Relative Strength of #SAT Proof Systems
Friedrich Schiller University Jena, Germany.
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-8681-7470
Massachusetts Institute of Technology, Cambridge MA, USA.ORCID iD: 0000-0003-0131-6771
Friedrich Schiller University Jena, Germany.
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2024 (English)In: Proceedings of the 27th International Conference on Theory and Applications of Satisfiability Testing (SAT'24), 2024Conference paper, Published paper (Refereed)
Abstract [en]

The propositional model counting problem #SAT asks to compute the number of satisfying as- signments for a given propositional formula. Recently, three #SAT proof systems kcps (knowledge compilation proof system), MICE (model counting induction by claim extension), and CPOG (certified partitioned-operation graphs) have been introduced with the aim to model #SAT solving and enable proof logging for solvers.

Prior to this paper, the relations between these proof systems have been unclear and very few proof complexity results are known. We completely determine the simulation order of the three systems, establishing that CPOG simulates both MICE and kcps, while MICE and kcps are exponentially incomparable. This implies that CPOG is strictly stronger than the other two systems.

Place, publisher, year, edition, pages
2024.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-205465OAI: oai:DiVA.org:liu-205465DiVA, id: diva2:1876930
Conference
The 27th International Conference on Theory and Applications of Satisfiability Testing, Pune, India, August 21-24, 2024
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsAvailable from: 2024-06-25 Created: 2024-06-25 Last updated: 2024-08-13

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Fichte, Johannes Klaus

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