• DocumentCode
    1964881
  • Title

    On information and knowledge representation in the brain

  • Author

    Wang, Yingxu ; Liu, Dong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
  • fYear
    2003
  • fDate
    18-20 Aug. 2003
  • Firstpage
    26
  • Lastpage
    31
  • Abstract
    The cognitive models of information representation and the capacity of human memory are fundamental research areas in cognitive informatics, which help to reveal the mechanism and potential of the brain. This paper develops the object-attribute-relation (OAR) model for describing information representation and storage in the brain. According to the OAR model, the human memory and knowledge are represented by relations, i.e. connections of synapses between neurons, rather than by the neurons themselves as the traditional container metaphor described. Based on the OAR model, the memory capacity of the human brain is calculated as in the order of 108432 bits. The determination of the magnitude of human memory capacity is not only theoretically significant in cognitive informatics, but also practically useful to estimate the human potential, as well as the gap between the natural and machine intelligence.
  • Keywords
    behavioural sciences computing; brain models; cognition; cognitive systems; computational complexity; knowledge representation; software engineering; OAR model; brain mechanism; cognitive informatics; cognitive models; connections of synapses; human memory; information representation; knowledge representation; machine intelligence; memory capacity; natural intelligence; neurons; object-attribute-relation; software engineering; storage in the brain; traditional container metaphor; Brain modeling; Cognitive informatics; Cognitive science; Humans; Information representation; Knowledge representation; Mathematical model; Mathematics; Neurons; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2003. Proceedings. The Second IEEE International Conference on
  • Print_ISBN
    0-7695-1986-5
  • Type

    conf

  • DOI
    10.1109/COGINF.2003.1225947
  • Filename
    1225947