Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen: doi:10.22028/D291-40198
Titel: Model-Based Knowledge Acquisition from Structure Descriptions in a Technical Diagnosis Domain
VerfasserIn: Rehbold, Robert
Sprache: Englisch
Erscheinungsjahr: 1989
Erscheinungsort: Kaiserslautern
Freie Schlagwörter: model-based diagnosis
model-based knowledge acquisition
model compilation
DDC-Sachgruppe: 004 Informatik
Dokumenttyp: Forschungsbericht (Report zu Forschungsprojekten)
Abstract: To be able to quickly build expert systems for technical diagnosis causal knowledge is needed. In this paper we propose a specific way of integration between "shallow" (heuristic) knowledge and "deep" (causal) knowledge (i.e. a model of the device under investigation), namely the translation (compilation) from the model into causal rules. We present a way to separate the behavior acquisition of the typical components of a device (given by some domain experts) from the construction of a concrete representation (model) which can be built without experts. This model together with domain specific "technical common sense" integrated into our system is used to construct rules for a rule-based expert system that represent the causal knowledge . Our system is also able to modularize the resulting knowledge base into contexts (rule sets) similar to those given by experts themselves. These techniques are used in MOLTKE, an expert system for the diagnosis of CNC machining centers at the University of Kaiserslautern.
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-401985
hdl:20.500.11880/36243
http://dx.doi.org/10.22028/D291-40198
Schriftenreihe: SEKI-Report / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1437-4447]
Band: 89,1
Datum des Eintrags: 11-Aug-2023
Fakultät: SE - Sonstige Einrichtungen
Fachrichtung: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Professur: SE - Sonstige
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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