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A Framework for the Multiple Representation of Structure and Function in Expert Systems

  • Conference paper
GWAI-86 und 2. Österreichische Artificial-Intelligence-Tagung

Part of the book series: Informatik-Fachberichte ((2252,volume 124))

Abstract

A system is presented which models the structure and behavior of certain types of technical devices. It provides facilities for the description of components and their terminals in a hierarchy of abstraction and aggregation, and with respect to different aspects, thus allowing reasoning about structure and function on varying levels and from different views. The functioning of the components as well as the mapping between different levels is modelled by constraints between the input and output variables of the components. As the values of the variables are nodes of an assumption-based truth maintenance system, the system enables the analysis and comparison of multiple, possibly concurrent states and views of the device. The system is implemented in an object-oriented style on a LISP-machine.

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Literature

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Author information

Authors and Affiliations

  1. SIEMENS Corp., Otto-Hahn-Ring 6, 8000, Munich 83, West Germany

    Peter Struss

Authors
  1. Peter Struss
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Editor information

Editors and Affiliations

  1. IBM Deutschland GmbH, Abt. LILOG 3504, Postfach 800880, D-7000, Stuttgart 80, Germany

    Claus-Rainer Rollinger

  2. Institut für Medizinische Kybernetik und Artificial Intelligence, Universität Wien, Freyung 6, A-1010, Wien, Austria

    Werner Horn

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© 1986 Springer-Verlag Berlin Heidelberg

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Struss, P. (1986). A Framework for the Multiple Representation of Structure and Function in Expert Systems. In: Rollinger, CR., Horn, W. (eds) GWAI-86 und 2. Österreichische Artificial-Intelligence-Tagung. Informatik-Fachberichte, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-71385-9_32

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  • DOI: https://doi.org/10.1007/978-3-642-71385-9_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16808-9

  • Online ISBN: 978-3-642-71385-9

  • eBook Packages: Springer Book Archive

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