• DocumentCode
    330281
  • Title

    The integration of connectionist models with knowledge-based systems: hybrid systems

  • Author

    Ultsch, A.

  • Author_Institution
    Dept. of Neuroinf., Philipps-Univ., Marburg, Germany
  • Volume
    2
  • fYear
    1998
  • fDate
    11-14 Oct 1998
  • Firstpage
    1530
  • Abstract
    The main difference between connectionist models and technologies of symbolic artificial intelligence is the form in which knowledge is represented i.e. symbolic vs. subsymbolic methods are used to represent knowledge. The paper clarifies and emphasizes this paradigmatic difference, in particular with respect to the so called hybrid systems. The terms symbolic and subsymbolic knowledge representation are specified. Furthermore, the central constituents of a subsymbolic representation are named. Necessary requirements for connectionist models are clarified. As hybrid systems in a strict sense those systems are identified that realize a conversion between subsymbolic and symbolic knowledge
  • Keywords
    inference mechanisms; knowledge based systems; knowledge representation; neural nets; connectionist models; hybrid systems; knowledge-based systems; subsymbolic methods; symbolic artificial intelligence; symbolic methods; Artificial intelligence; Computer errors; Dictionaries; Knowledge based systems; Knowledge representation; Neurons; Numerical models; Power system modeling; Robustness; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4778-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1998.728103
  • Filename
    728103