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  SPASS Version 2.0

Weidenbach, C., Brahm, U., Hillenbrand, T., Keen, E., Theobalt, C., & Topić, D. (2002). SPASS Version 2.0. In Automated deduction, CADE-18: 18th International Conference on Automated Deduction (pp. 275-279). Heidelberg, Germany: Springer.

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 Creators:
Weidenbach, Christoph1, 2, Author           
Brahm, Uwe3, Author           
Hillenbrand, Thomas1, 2, 4, Author           
Keen, Enno2, Author           
Theobalt, Christian2, 5, Author           
Topić, Dalibor6, Author
Voronkov, Andrei2, Editor           
Affiliations:
1Automation of Logic, MPI for Informatics, Max Planck Society, ou_1116545              
2Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              
3Information Services and Technology, MPI for Informatics, Max Planck Society, ou_1116550              
4International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              
5Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
6Max Planck Society, ou_persistent13              

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 Abstract: SPASS is an automated theorem prover for full first-order logic with equality. This system description provides an overview of recent developments in SPASS 2.0, including among others an implementation of contextual rewriting, refinements of the clause normal form transformation, and enhancements of the inference engine.

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Language(s): eng - English
 Dates: 2003-09-012002
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 202170
Other: Local-ID: C1256104005ECAFC-CF921E461CE82D57C1256BBB004574BF-WBH+02-CADE18
 Degree: -

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Title: CADE 2002
Place of Event: Kopenhagen, 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
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Publ. Info: Heidelberg, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 275 - 279 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: -