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Titel: A consequence-finding approach for feature recognition in CAPP
Verfasser: Hinkelmann, Knut
Sprache: Englisch
Erscheinungsjahr: 1994
Quelle: Kaiserslautern ; Saarbrücken : DFKI, 1994
SWD-Schlagwörter: Künstliche Intelligenz
DDC-Sachgruppe: 004 Informatik
Dokumentart : Report (Bericht)
Kurzfassung: We present a rewriting approach for a consequence-finding inference of logic programs. Consequence finding restricts the derivations of a logic program to exactly those facts that depend on an explicitly given set of initial facts. The rewriting approach extends the Generalized Magic Sets rewriting, well-known from deductive databases, by an up propagation in addition to the usual down propagation. The initial motivation for this inference was to realize the abstraction phase of a knowledge-based CAPP system for lathe turning. The input to the CAPP system is a detailed description of a workpiece. During the abstraction phase characteristic parts, called features, are recognized for which predefined skeletal plans exist. Consequence finding is a method to restrict the computation such that exactly the features of the actual workpiece are derived. The same inference can also be used for checking integrity constraints: given an update of a deductive database or a logic program, consequence finding applies only those rules that are effected by the update operation.
Link zu diesem Datensatz: urn:nbn:de:bsz:291-scidok-50425
hdl:20.500.11880/25281
http://dx.doi.org/10.22028/D291-25225
Schriftenreihe: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Band: 94-11
SciDok-Publikation: 7-Feb-2013
Fakultät: Sonstige Einrichtungen
Fachrichtung: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Fakultät / Institution:SE - Sonstige Einrichtungen

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