Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
33rd (2019)
Session ID : 1E2-OS-3a-02
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MCSes Enumeration with the Glucose SAT Solver
*Miyuki KOSHIMURAKen SATOH
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Keywords: SAT, MCSes Enumeration
CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Enumerating all Maximal Satisfiable Subsets (MSSes) or all Minimal Correction Subsets (MCSes) of an unsatisfiable CNF Boolean formula is a cornerstone task in various AI domains. This paper considers MCSes enumeration with a SAT solver. We aim to develop a procedure which outperforms several MCSes enumerators proposed so far. The paper presents a basic enumeration procedure and compares it with a state-of-the-art enumerator Enum-ELS-RMR-Cache. The experimental results show that the proposed procedure is more efficient than Enum-ELS-RMR-Cache to solve Partial-MaxSAT instances but it is inefficient than Enum-ELS-RMR-Cache to solve plain MaxSAT instances.

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© 2019 The Japanese Society for Artificial Intelligence
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