• DocumentCode
    316200
  • Title

    Information granulation and its centrality in human and machine intelligence

  • Author

    Zadeh, Lotfi A.

  • Author_Institution
    California Univ., Berkeley, CA, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    486
  • Abstract
    Summary form only given. In a general setting, granulation involves a partitioning of a real or mental object into granules, with a granule being a clump of points (objects) drawn together by indistinguishability, similarity, proximity or functionality. Granulation is crisp or fuzzy depending on whether the granules are crisp or fuzzy. Fuzzy information granulation (IG) is central to human reasoning and concept formation. It is this aspect of fuzzy IG that underlies its essential role in the conception and design of information/intelligent systems. What is conclusive is that there are many, many tasks which humans can perform with ease and that no machine could perform without the use of fuzzy IG. This conclusion has a thought-provoking implication for AI: without the methodology of fuzzy IG in its armamentarium, AI cannot achieve its goals
  • Keywords
    artificial intelligence; fuzzy logic; concept formation; functionality; fuzzy information granulation; human intelligence; human reasoning; indistinguishability; information systems; intelligent systems; machine intelligence; partitioning; proximity; similarity; Cognition; Fuzzy logic; Fuzzy sets; Hair; Humans; Machine intelligence; Machinery; Magnetic heads; Natural languages; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.625798
  • Filename
    625798