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 |
Files for this record:
File | Description | Size | Format | |
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SEKI-Report-SR-96-08_Fuchs_Evolving-Combinators.pdf | 1,39 MB | Adobe PDF | View/Open |
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