• DocumentCode
    1673516
  • Title

    Fuzzy anchoring

  • Author

    Coradeschi, S. ; Driankov, D. ; Karlsson, L. ; Saffiotti, A.

  • Author_Institution
    Dept. of Technol., Orebro Univ., Sweden
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    111
  • Lastpage
    114
  • Abstract
    An intelligent physical agent must incorporate motor and perceptual processes to interface with the physical world, and abstract cognitive processes to reason about the world and the options available. One crucial aspect of incorporating cognitive processes into a physically embedded reasoning system is the integration between the symbols used by the reasoning processes to denote physical objects, and the perceptual data corresponding to these objects. We treat this integration aspect by proposing a fuzzy computational theory of anchoring. Anchoring is the process of creating and maintaining the correspondence between symbols and percepts that refer to the same physical objects. Modeling this process using fuzzy set-theoretic notions enables dealing with perceptual data that can be affected by uncertainty/imprecision and imprecise/vague linguistic descriptions of objects
  • Keywords
    fuzzy logic; inference mechanisms; abstract cognitive processes; cognitive processes; fuzzy anchoring; fuzzy computational theory; fuzzy set-theoretic notions; intelligent physical agent; motor processes; perceptual processes; physically embedded reasoning system; reasoning processes; Artificial intelligence; Fuzzy sets; Intelligent agent; Intelligent sensors; Machine vision; Mobile robots; Robot sensing systems; Robot vision systems; Sensor systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2001. The 10th IEEE International Conference on
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    0-7803-7293-X
  • Type

    conf

  • DOI
    10.1109/FUZZ.2001.1007259
  • Filename
    1007259