• DocumentCode
    3355914
  • Title

    Functional transformations in AI discovery systems

  • Author

    Shen, Wei-Min

  • Author_Institution
    Dept. of Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA, USA
  • Volume
    3
  • fYear
    1988
  • fDate
    0-0 1988
  • Firstpage
    266
  • Lastpage
    273
  • Abstract
    The power of scientific discovery systems derives from two main sources: a set of heuristics that determine when to apply a creative operator (an operator for forming new operators and concepts) in a space that is being explored; and a set of creative operators that determine what new operators and concepts will be created for that exploration. The author is concerned with the second issue, introducing a mechanism called functional transformations (FTs) for creating new and useful creative operators during exploration. He discusses the definition, creation, and application of FTs and describes, as a demonstration of its power, how the system ARE, starting with a small set of creative operations and a small set of heuristics, uses FTs to create all the concepts attained by D. Lenat´s (1974) AM system.<>
  • Keywords
    artificial intelligence; expert systems; AI discovery systems; AM system; ARE; creative operators; exploration; functional transformations; scientific discovery systems; Artificial intelligence; Computer science; Control systems; Data structures; Functional programming; Law; Learning systems; Legal factors; Mathematics; Problem-solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1988. Vol.III. Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-First Annual Hawaii International Conference on
  • Conference_Location
    Kailua-Kona, HI, USA
  • Print_ISBN
    0-8186-0843-9
  • Type

    conf

  • DOI
    10.1109/HICSS.1988.11916
  • Filename
    11916