Improvements to propositional satisfiability search algorithms
Improvements to propositional satisfiability search algorithms
On semantic resolution with lemmaizing and contraction and a formal treatment of caching
New Generation Computing
Mechanical Theorem-Proving by Model Elimination
Journal of the ACM (JACM)
A Simplified Format for the Model Elimination Theorem-Proving Procedure
Journal of the ACM (JACM)
An Implementation of the Model Elimination Proof Procedure
Journal of the ACM (JACM)
A machine program for theorem-proving
Communications of the ACM
A propositional theorem prover to solve planning and other problems
Annals of Mathematics and Artificial Intelligence
The Use of Lemmas in the Model Elimination Procedure
Journal of Automated Reasoning
Autarky Pruning in Propositional Model Elimination Reduces Failure Redundancy
Journal of Automated Reasoning
Caching and Lemmaizing in Model Elimination Theorem Provers
CADE-11 Proceedings of the 11th International Conference on Automated Deduction: Automated Deduction
The Search Efficiency of Theorem Proving Strategies
CADE-12 Proceedings of the 12th International Conference on Automated Deduction
SIMULTANEOUS CONSTRUCTION OF REFUTATIONS AND MODELS FOR PROPOSITIONAL FORMULAS
SIMULTANEOUS CONSTRUCTION OF REFUTATIONS AND MODELS FOR PROPOSITIONAL FORMULAS
Heuristics based on unit propagation for satisfiability problems
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Solving satisfiability in less than 2n steps
Discrete Applied Mathematics
Using CSP look-back techniques to solve real-world SAT instances
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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Conditional Pure Literal Graphs (CPLG) characterize the set of models of a propositional formula and are introduced to help understand connections among formulas, models and autarkies. They have been applied to the SAT problem within the framework of refutation-based algorithms. Experimental results and comparisons show that the use of CPLGs is a promising direction towards efficient propositional SAT solvers based upon model elimination. In addition, they open a new perspective on hybrid search/resolution schemes.