MGTP: A parallel theorem prover based on lazy model generation

Ryuzo Hasegawa, Miyuki Koshimura, Hiroshi Fujita

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

8 被引用数 (Scopus)


We have implemented a model-generation based parallel theorem prover in KL1 on a parallel inference machine, PIM. We have developed several techniques to improve the efficiency of forward reasoning theorem provers based on lazy model generation. The tasks of the model-generation based prover are the generation and testing of atoms to be the elements of a model for the given theorem. The problem with this method is the explosion in the number of generated atoms and in the computational cost in time and space, incurred by the generation processes. Lazy model generation is a new method that avoids the generation of unnecessary atoms that are irrelevant to obtaining proofs, and to provide flexible control for the efficient use of resources in a parallel environment. With this method we have achieved a more than one-hundred-fold speedup on a PIM consisting of 128 PEs.

ホスト出版物のタイトルAutomated Deduction — CADE-11 - 11 th International Conference on Automated Deduction, Proceedings
編集者Deepak Kapur
出版社Springer Verlag
出版ステータス出版済み - 1992
イベント11th International Conference on Automated Deduction, CADE, 1992 - Saratoga Springs, 米国
継続期間: 6 15 19926 18 1992


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
607 LNAI


その他11th International Conference on Automated Deduction, CADE, 1992
CitySaratoga Springs

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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