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A Framework for the Development of Cooperative Configuration Agents

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Intelligent Problem Solving. Methodologies and Approaches (IEA/AIE 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1821))

Abstract

The integration of configuration systems to support supply chain integration of configurable products is still an open research issue. Current configurator approaches are designed for solving local configuration problems but there is no support for the integration of multiple configuration systems. In order to facilitate distributed configuration of customizable products we employ cooperating configuration agents capable of managing requests and posting configuration subtasks to remote configuration agents. For integrating different knowledge representation formalisms of configuration agents we apply broadly used configuration domain specific modeling concepts to design shareable ontologies which can be interpreted by other agents. These concepts are defined as UML (Unified Modeling Language) stereotypes which can be automatically translated into a configuration agent’s knowledge representation.

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Author information

Authors and Affiliations

  1. Institut für Wirtschaftsinformatik und Anwendungssysteme, Universität Klagenfurt, A-9020, Austria

    A. Felfernig, G. Friedrich, D. Jannach & M. Zanker

Authors
  1. A. Felfernig
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  2. G. Friedrich
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  3. D. Jannach
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  4. M. Zanker
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Editor information

Editors and Affiliations

  1. The Center for Advanced Computer Studies, University of Lousiana, 2 Rex Street, Lafayette, LA, 70504-4330, USA

    Rasiah Logananthara

  2. Department of Neural Information Processing, University of Ulm, Oberer Eselsberg, 89069, Ulm, Germany

    Günther Palm

  3. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2000 Springer-Verlag Berlin Heidelberg

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Felfernig, A., Friedrich, G., Jannach, D., Zanker, M. (2000). A Framework for the Development of Cooperative Configuration Agents. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_4

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  • DOI: https://doi.org/10.1007/3-540-45049-1_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67689-8

  • Online ISBN: 978-3-540-45049-8

  • eBook Packages: Springer Book Archive

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