• DocumentCode
    1123173
  • Title

    Strategies for Knowledge Acquisition

  • Author

    Kahn, Gary ; Nowlan, Steven ; McDermott, John

  • Author_Institution
    Department of Computer Science, Carnegie-Mellon University, Pittsburgh, PA.; Carnegie Group Inc., Pittsburgh, PA 15219.
  • Issue
    5
  • fYear
    1985
  • Firstpage
    511
  • Lastpage
    522
  • Abstract
    This paper describes knowledge acquisition strategies developed in the course of handcrafting a diagnostic system and reports on their consequent implementation in MORE, an automated knowledge acquisition system. We describe MORE in some detail, focusing on its representation of domain knowledge, rule generation capabilities, and interviewing techniques. MORE´s approach is shown to embody methods which may prove fruitful to the development of knowledge acquisition systems in other domains.
  • Keywords
    Additives; Buildings; Chemicals; Computer science; Diagnostic expert systems; Drilling; Knowledge acquisition; Knowledge engineering; Multiuser detection; Testing; Artificial intelligence; automated interviewing; causal models; diagnosis; expert systems; knowledge acquisition; knowledge engineering;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1985.4767699
  • Filename
    4767699