• DocumentCode
    282879
  • Title

    Advances in qualitative measurement interpretation

  • Author

    Todd, S.J.

  • Author_Institution
    Hewlett-Packard Labs., Bristol, UK
  • fYear
    1988
  • fDate
    32150
  • Firstpage
    42552
  • Lastpage
    42553
  • Abstract
    Qualitative measurement interpretation (QMI) is an area of artificial intelligence concerned with generating an understanding of the behaviour of a system from a qualitative description of the monitored signals. K.D. Forbus (1986) presented a theory for qualitative measurement interpretation and described a domain independent algorithm based on Waltz filtering. The paper describes recent extensions of this work
  • Keywords
    artificial intelligence; expert systems; knowledge engineering; Waltz filtering; artificial intelligence; behaviour; domain independent algorithm; monitored signals; qualitative description; qualitative measurement interpretation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Qualitative Modelling in Diagnosis and Control, IEE Colloquium on
  • Conference_Location
    Edinburgh
  • Type

    conf

  • Filename
    208621