Abstract
One of the successful outcomes of the Fifth Generation Computer Systems Project is the development of Model Generation Theorem Provers (MGTPs). MGTPs have solved previously open problems in finite algebra, produced rapid proofs of condensed detachment problems, and are providing an inferential infrastructure for knowledge-processing research at ICOT. They successfully exploit the Fifth Generation Project?s KL1 logic programming language and parallel inference machines to achieve high performance and parallel speedup. This paper describes some of the key properties of MGTPs, reasons for their successes, and possible areas for future improvement.
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