Please use this identifier to cite or link to this item: doi:10.22028/D291-42194
Title: An alternative for handling AC
Author(s): Fuchs, Matthias
Language: English
Year of Publication: 1994
Place of publication: Kaiserslautern
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: A method for efficiently handling associativity and commutativity (AC) in implementations of (equational) theorem provers without incorporating AC as an underlying theory will be presented. The key of substantial efficiency gains resides in a more suitable representation of permutation-equations (such as f(x,f(y,z))=f(y,f(z,x)) for instance). By representing these permutation-equations through permutations in the mathematical sense (i.e. bijective functions σ:{1,...,n}-->{1,..,n}), and by applying adapted and specialized inference rules, we can cope more appropriately with the fact that permutation-equations are playing a particular role. Moreover, a number of restrictions concerning application and generation of permutation-equations can be found that would not be possible in this extent when treating permutation-equations just like any other equation. Thus, further improvements in efficiency can be achieved.
Link to this record: urn:nbn:de:bsz:291--ds-421942
hdl:20.500.11880/37877
http://dx.doi.org/10.22028/D291-42194
Series name: SEKI-Report / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1437-4447]
Series volume: 94,3
Date of registration: 17-Jun-2024
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Professorship: SE - Sonstige
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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