Title :
Multi-resolution on compressed sets of clauses
Author :
Chatalic, Philippe ; Simon, Laurent
Author_Institution :
Lab. de Recherche en Inf., Univ. de Paris-Sud, Orsay, France
Abstract :
The paper presents a system based on new operators for handling sets of propositional clauses represented by means of ZBDDs (zero-suppressed binary decision diagrams). The high compression power of such data structures allows efficient encodings of structured instances. A specialized operator for the distribution of sets of clauses is introduced and used for performing multi-resolution on clause sets. Cut eliminations between sets of clauses of exponential size may then be performed using polynomial size data structures. The ZREs system, a new implementation of the Davis-Putnam procedure (M. Davis and H. Putnam, 1960), solves two hard problems for resolution, that are currently out of the scope of the best SAT provers
Keywords :
binary decision diagrams; computability; computational complexity; data compression; data structures; directed graphs; set theory; theorem proving; Davis-Putnam procedure; SAT provers; ZBDDs; ZREs system; clause sets; compressed clauses; compressed sets; compression power; cut eliminations; data structures; encodings; hard problems; multi-resolution; polynomial size data structures; propositional clauses; specialized operator; structured instances; zero-suppressed binary decision diagrams; Complexity theory; Data structures; Encoding; Explosions; Knowledge representation; Logic; Optimization methods; Polynomials; Problem-solving; Zirconium;
Conference_Titel :
Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-0909-6
DOI :
10.1109/TAI.2000.889839