Compiling Model-Based Diagnosis to Boolean Satisfaction

This paper introduces an encoding of Model Based Diagnosis (MBD) to Boolean Satisfaction (SAT) focusing on minimal cardinality diagnosis. The is based a combination sophisticated MBD preprocessing algorithms and SAT compilation techniques which together provide concise CNF formula. Experimental evidence indicates that our approach superior all published for MBD. In particular, we can determine, the first time, diagnoses entire standard ISCAS-85 benchmark. Our results open way improve state-of-the-art range similar problems.