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  The Next WALDMEISTER Loop

Hillenbrand, T., & Löchner, B. (2002). The Next WALDMEISTER Loop. In A. Voronkov (Ed.), Automated deduction, CADE-18: 18th International Conference on Automated Deduction (pp. 486-500). Heidelberg, Germany: Springer.

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 Creators:
Hillenbrand, Thomas1, 2, 3, Author           
Löchner, Bernd3, Author           
Affiliations:
1International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              
2Automation of Logic, MPI for Informatics, Max Planck Society, ou_1116545              
3Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: In saturation-based theorem provers, the reasoning process consists in constructing the closure of an axiom set under inferences. As is well-known, this process tends to quickly fill the memory available unless preventive measures are employed. For implementations based on the DISCOUNT loop, the passive facts are responsible for most of the memory consumption. We present a refinement of that loop allowing such a compression that the space needed for the passive facts is linearly bound by the number of active facts. In practice, this will reduce memory consumption in the WALDMEISTER system by more than one order of magnitude as compared to previous compression schemes.

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Language(s): eng - English
 Dates: 2007-03-202002
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 521707
Other: Local-ID: C125716C0050FB51-4D570162B4332D6DC12572A400330506-HL02-CADE18
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Title: CADE 2002
Place of Event: Copenhagen, Denmark
Start-/End Date: 2002-07-27 - 2002-07-30

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Title: Automated deduction, CADE-18 : 18th International Conference on Automated Deduction
Source Genre: Proceedings
 Creator(s):
Voronkov, Andrei1, Editor           
Affiliations:
1 Programming Logics, MPI for Informatics, Max Planck Society, ou_40045            
Publ. Info: Heidelberg, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 486 - 500 Identifier: ISBN: 3-540-43931-5

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Title: Lecture Notes in Artificial Intelligence
Source Genre: Series
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Pages: - Volume / Issue: 2392 Sequence Number: - Start / End Page: - Identifier: -