First-order logic and automated theorem proving
First-order logic and automated theorem proving
An incremental method for generating prime implicants/implicates
Journal of Symbolic Computation
CADE-10 Proceedings of the tenth international conference on Automated deduction
Optimizing the clausal normal form transformation
Journal of Automated Reasoning
Communications of the ACM
Selection criteria for expert system shells: a socio-technical framework
Communications of the ACM
Methods and calculi for deduction
Handbook of logic in artificial intelligence and logic programming (vol. 1)
Deduction systems based on resolution
Handbook of logic in artificial intelligence and logic programming (vol. 1)
A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
Theorem Proving via General Matings
Journal of the ACM (JACM)
Symbolic Logic and Mechanical Theorem Proving
Symbolic Logic and Mechanical Theorem Proving
A Multi-Agent Approach to First-Order Logic
EPIA '97 Proceedings of the 8th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Dynamic Social Knowledge: A Cognitive Multi-Agent System Cooperation Strategy
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
A New Algorithm for Generating Prime Implicants
IEEE Transactions on Computers
In the quest of the missing link
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Consolution and its relation with resolution
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
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In this paper we describe a first-order logic inference strategy based on information extracted from both conjunctive and disjunctive normal forms. We claim that the search problem for a proof can benefit from this further information, extending the heuristic possibilities of resolution and connection proof methods.