Please use this identifier to cite or link to this item: doi:10.22028/D291-40276
Title: GenRule : Learning of Shortcut-Oriented Diagnostic Problem Solving in the MOLTKE 3 Workbench
Author(s): Althoff, Klaus-Dieter
Traphöner, Ralph
Language: English
Year of Publication: 1991
Place of publication: Kaiserslautern
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: GenRule is the offline processing component of the MOLTKE3 workbench’s learning mechanism. It learns from diagnostic cases, i.e. protocols of the diagnostic behavior of an experienced service technician. The result of a learning step are so called shortcut rules, which allow the derivation of symptom values from other already known values. Furthermore, these rules are used to direct the diagnostic strategy applied by the MOLTKE3 shell. The presented mechanism appears to be well suited for modeling the typical diagnostic behavior of a service technician.
Link to this record: urn:nbn:de:bsz:291--ds-402760
hdl:20.500.11880/36214
http://dx.doi.org/10.22028/D291-40276
Series name: SEKI-Report / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1437-4447]
Series volume: 91,04
Date of registration: 11-Aug-2023
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Professorship: SE - Sonstige
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