Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
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.