Please use this identifier to cite or link to this item: doi:10.22028/D291-41581
Title: Evolving Combinators
Author(s): Fuchs, Matthias
Language: English
Year of Publication: 1996
Place of publication: Kaiserslautern
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: One of the many abilities that distinguish a mathematician from an automated deduction system is to be able to offer appropriate expressions based on intuition and experience that are substituted for existentially quantified variables so as to simplify the problem at hand substantially. We propose to simulate this ability with a technique called genetic programming for use in automated deduction. We apply this approach to problems of combinatory logic. Our experimental results show that the approach is viable and actually produces very promising results. A comparison with the renowned theorem prover OTTER underlines the achievements.
Link to this record: urn:nbn:de:bsz:291--ds-415817
hdl:20.500.11880/37776
http://dx.doi.org/10.22028/D291-41581
Series name: SEKI-Report / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1437-4447]
Series volume: 96,8
Date of registration: 4-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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