Depth-first iterative-deepening: an optimal admissible tree search
Artificial Intelligence
Journal of Symbolic Computation
Non-horn clause logic programming without contrapositives
Journal of Automated Reasoning
Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems
Artificial Intelligence - Special volume on constraint-based reasoning
A Computing Procedure for Quantification Theory
Journal of the ACM (JACM)
The Design of the CADE-13 ATP System Competition
Journal of Automated Reasoning
CLIN-S - A Semantically Guided First-Order Theorem Prover
Journal of Automated Reasoning
Minimal Model Generation with Positive Unit Hyper-Resolution Tableaux
TABLEAUX '96 Proceedings of the 5th International Workshop on Theorem Proving with Analytic Tableaux and Related Methods
SATCHMO: A Theorem Prover Implemented in Prolog
Proceedings of the 9th International Conference on Automated Deduction
Automated theorem proving: A logical basis (Fundamental studies in computer science)
Automated theorem proving: A logical basis (Fundamental studies in computer science)
A proof method for quantification theory: its justification and realization
IBM Journal of Research and Development
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The purpose of this paper is to present a new approach for solving first-order predicate logic problems stated in conjunctive normal form. We propose to combine resolution with the Constraint Satisfaction Problem (CSP) paradigm to prove the inconsistency and find a model of a problem. The resulting method benefits from resolution and constraint satisfaction techniques and seems very efficient when confronted to some problems of the CADE-13 competition.