• DocumentCode
    1590200
  • Title

    A resource-based paradigm for the configuring of technical systems from modular components

  • Author

    Heinrich, M. ; Jüngst, E.W.

  • Author_Institution
    Daimler-Benz AG, Berlin, Germany
  • fYear
    1991
  • Firstpage
    257
  • Lastpage
    264
  • Abstract
    In the resource-based paradigm, the interfaces through which technical systems, their components, and their environment interact are modeled as abstract resources, and each technical entity is characterized by the types and amounts of resources it supplies, consumes and uses. This intuitive model, derived in one application area, is shown to be in concordance with the design rationale of modular component systems. A simple self-organizing configuring inference procedure for the resource-based paradigm, resource-balancing, with a description of the environment of the technical system as the requirement specification, is derived from the basic acceptance criterion for configurations. Five levels of knowledge are defined for this paradigm and introduced in a simple representation scheme which, through its inherent locality and mutual isolation of component knowledge, allows efficient acquisition and maintenance of even large component knowledge bases. First experiences with the implementation and use of these ideals in the prototype shell COSMOS are reported
  • Keywords
    configuration management; inference mechanisms; knowledge acquisition; knowledge based systems; knowledge representation; self-adjusting systems; COSMOS; expert system shell; knowledge acquisition; knowledge bases; knowledge representation; modular component systems; requirement specification; resource-balancing; resource-based paradigm; self-organizing configuring inference procedure; Artificial intelligence; Expert systems; Guidelines; Humans; Industrial engineering; Knowledge representation; Production systems; Prototypes; System testing; Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications, 1991. Proceedings., Seventh IEEE Conference on
  • Conference_Location
    Miami Beach, FL
  • Print_ISBN
    0-8186-2135-4
  • Type

    conf

  • DOI
    10.1109/CAIA.1991.120878
  • Filename
    120878