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doi:10.22028/D291-24853
Titel: | Using hierarchical constraint satisfaction for lathe-tool selection in a CIM environment |
VerfasserIn: | Meyer, Manfred |
Sprache: | Englisch |
Erscheinungsjahr: | 1992 |
Quelle: | Kaiserslautern ; Saarbrücken : DFKI, 1992 |
Kontrollierte Schlagwörter: | Künstliche Intelligenz Automatische Handlungsplanung CSP CAM ; CIM |
DDC-Sachgruppe: | 004 Informatik |
Dokumenttyp: | Forschungsbericht (Report zu Forschungsprojekten) |
Abstract: | In this paper we shall discuss how to treat the automatic selection of appropriate lathe tools in a computer-aided production planning (CAPP) application as a constraint satisfaction problem (CSP) over hierarchically structured finite domains. Conceptually it is straightforward to formulate lathe-tool selection in terms of a CSP, however the choice of constraint and domain representations and of the order in which the constraints are applied is nontrivial if a computationally tractable system design is to be achieved. Since the domains appearing in technical applications often can be modeled as a hierarchy, we investigate how constraint satisfaction algorithms can make use of this hierarchical structure. Moreover, many real-life problems are formulated in a way that no optimal solution can be found which satisfies all the given constraints. Therefore, in order to bring AI technology into real-world applications, it becomes very important to be able to cope with conflicting constraints and to relax the given CSP until a (suboptimal) solution can be found. For these reasons, the constraint system CONTAX has been developed, which incorporates an extended hierarchical arc-consistency algorithm together with discrete constraint relaxation and has been used to implement the lathe-tool selection module of the ARC-TEC planning system. |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291-scidok-36065 hdl:20.500.11880/24909 http://dx.doi.org/10.22028/D291-24853 |
Schriftenreihe: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Band: | 92-35 |
Datum des Eintrags: | 27-Mai-2011 |
Fakultät: | SE - Sonstige Einrichtungen |
Fachrichtung: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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RR_92_35.pdf | 10,31 MB | Adobe PDF | Öffnen/Anzeigen |
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