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  The Model Evolution Calculus with Equality

Baumgartner, P., & Tinelli, C. (2005). The Model Evolution Calculus with Equality. In Automated deduction - CADE-20: 20th International Conference on Automated Deduction (pp. 392-408). New York, USA: Springer.

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 Creators:
Baumgartner, Peter1, Author           
Tinelli, Cesare, Author
Nieuwenhuis, Robert1, Editor           
Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: In many theorem proving applications, a proper treatment of equational theories or equality is mandatory. In this paper we show how to integrate a modern treatment of equality in the Model Evolution calculus (ME), a first-order version of the propositional DPLL procedure. The new calculus, MEE, is a proper extension of the ME calculus without equality. Like ME it maintains an explicit ``candidate model'', which is searched for by DPLL-style splitting. For equational reasoning MEE uses an adapted version of the ordered paramodulation inference rule, where equations used for paramodulation are drawn (only) from the candidate model. The calculus also features a generic, semantically justified simplification rule which covers many simplification techniques known from superposition-style theorem proving. Our main result is the refutational completeness of the MEE calculus.

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Language(s): eng - English
 Dates: 2006-06-092005
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 279107
Other: Local-ID: C1256104005ECAFC-BCF8329850928E41C1256FF40045E409-Baumgartner:Tinelli:ModelEvolutionCalculusEquality:CADE:2005
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Title: Untitled Event
Place of Event: Tallinn, Estonia
Start-/End Date: 2005-07-22

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Title: Automated deduction - CADE-20 : 20th International Conference on Automated Deduction
Source Genre: Proceedings
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Publ. Info: New York, USA : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 392 - 408 Identifier: ISBN: 3-540-28005-7

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Title: Lecture Notes in Artificial Intelligence
Source Genre: Series
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Pages: - Volume / Issue: 3632 Sequence Number: - Start / End Page: - Identifier: -