• DocumentCode
    1624633
  • Title

    A primitives-based approach to knowledge acquisition

  • Author

    Chien, Chih-Cheng ; Ho, Cheng-Seen

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
  • fYear
    1992
  • Firstpage
    1718
  • Abstract
    GAS, a primitives-based generic knowledge acquisition shell which allows users to easily construct and then execute a domain-specific knowledge acquisition tool for specific problem domains, is described. It contains problem solving primitives, acquisition primitives, interaction primitives, representation schemas, learning primitives, and knowledge processing primitives in order to construct specific knowledge acquisition tools efficiently. This approach relieves knowledge engineers from selecting and applying different knowledge acquisition tools for different domains. GAS has been developed as an open architecture so that further enhancement can be done easily
  • Keywords
    knowledge acquisition; knowledge representation; learning (artificial intelligence); problem solving; GAS; acquisition primitives; generic knowledge acquisition; interaction primitives; knowledge processing primitives; learning primitives; open architecture; problem solving primitives; representation schemas; Expert systems; Knowledge acquisition; Knowledge engineering; Knowledge representation; Laboratories; Machine learning; Problem-solving; Prototypes; Psychology; Road transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1992., IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-0720-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1992.271548
  • Filename
    271548