Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
A Prolog technology theorem prover: implementation by an extended Prolog computer
Journal of Automated Reasoning
Journal of the ACM (JACM)
SETHEO: a high-performance theorem prover
Journal of Automated Reasoning
Analysis of the use of semantic trees in automated theorem proving
Analysis of the use of semantic trees in automated theorem proving
A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
Automatic Theorem Proving With Renamable and Semantic Resolution
Journal of the ACM (JACM)
Symbolic Logic and Mechanical Theorem Proving
Symbolic Logic and Mechanical Theorem Proving
Mathematical Theory of Computation
Mathematical Theory of Computation
Automated theorem proving: A logical basis (Fundamental studies in computer science)
Automated theorem proving: A logical basis (Fundamental studies in computer science)
An Improvement of Herbrand's theorem and its application to model generation theorem proving
Journal of Computer Science and Technology
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This paper describes a number of heuristics that have been implemented in a program that proves theorems by constructing closed semantic trees. The program is called HERBY. We studied the effectiveness of these heuristics on the Stickel Test Set and found that when HERBY was given two hours to prove each theorem, it was able to prove 78 of the 84 theorems in the set. Constructing semantic trees has been used as a theoretical tool for confirming the unsatisfiability of a set of clauses in first‐order predicate calculus; this paper shows that this approach has some practicality as well.