• DocumentCode
    2785896
  • Title

    Hierarchical interaction between sensory processing and world modeling in intelligent systems

  • Author

    Albus, James S.

  • Author_Institution
    Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • fYear
    1990
  • fDate
    5-7 Sep 1990
  • Firstpage
    53
  • Abstract
    The sensory processing system and its relationship to the world model are described. Both the sensory-processing and world-modeling systems are hypothesized to be hierarchical, with a tight coupling between sensory-processing and world-modeling modules at each level of the hierarchy. At every level, world model predictions are compared with sensory observations. Correlations and differences are used to improve estimated values stored in the world model. The world model consists of both symbolic and iconic representations and of mechanisms for transforming from one to the other. The sensory-processing system consists of iconic images, coordinate transformers, and mechanisms for comparison, correlation, recognition, and detection. The close coupling between sensory processing and world modeling produces the phenomenal capacity of an intelligent system to recognize objects, detect events, and perceive what is important for successful behavior in the natural world
  • Keywords
    computer vision; computerised picture processing; hierarchical systems; knowledge based systems; visual perception; comparison; coordinate transformers; correlation; detection; iconic images; iconic representations; intelligent control system; recognition; sensory observations; sensory processing system; spatiol integration; temporal integration; world model; world model predictions; world-modeling systems; Data mining; Event detection; Intelligent robots; Intelligent sensors; Intelligent systems; NIST; Predictive models; Robot sensing systems; Signal processing; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    2158-9860
  • Print_ISBN
    0-8186-2108-7
  • Type

    conf

  • DOI
    10.1109/ISIC.1990.128439
  • Filename
    128439