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  Superposition and Model Evolution Combined

Baumgartner, P., & Waldmann, U. (2009). Superposition and Model Evolution Combined. In R. A. Schmidt (Ed.), Automated Deduction, CADE-22, 22nd International Conference on Automated Deduction (pp. 17-34). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1A6C-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-BB94-A
Genre: Conference Paper

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 Creators:
Baumgartner, Peter, Author           
Waldmann, Uwe1, Author           
Affiliations:
1Automation of Logic, MPI for Informatics, Max Planck Society, ou_1116545              

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 Abstract: We present a new calculus for first-order theorem proving with equality, ME+Sup, which generalizes both the Superposition calculus and the Model Evolution calculus (with equality) by integrating their inference rules and redundancy criteria in a non-trivial way. The main motivation is to combine the advantageous features of both---rather complementary---calculi in a single framework. For instance, Model Evolution, as a lifted version of the propositional DPLL procedure, contributes a non-ground splitting rule that effectively permits to split a clause into non variable disjoint subclauses. In the paper we present the calculus in detail. Our main result is its completeness under semantically justified redundancy criteria and simplification rules.

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Language(s): eng - English
 Dates: 2009-08-242009
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 521103
DOI: 10.1007/978-3-642-02959-2_2
Other: Local-ID: C125716C0050FB51-92B160DE1648AAE5C125761C0065FC7C-BaumgartnerWaldmann2009CADE
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Title: Untitled Event
Place of Event: Montreal, Canada
Start-/End Date: 2009-08-02 - 2009-08-07

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Title: Automated Deduction, CADE-22, 22nd International Conference on Automated Deduction
Source Genre: Proceedings
 Creator(s):
Schmidt, Renate A.1, Editor           
Affiliations:
1 Programming Logics, MPI for Informatics, Max Planck Society, ou_40045            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 17 - 34 Identifier: ISBN: 3-642-02958-2

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Title: Lecture Notes in Artificial Intelligence
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