• DocumentCode
    2400517
  • Title

    Control frame of cognition in cognitive system with Fuzzy-Neural network

  • Author

    Wang, Rui ; Wu, Tieyan ; Liu, Wei

  • Author_Institution
    Northeastern Univ., Shenyang, China
  • fYear
    2011
  • fDate
    8-10 June 2011
  • Firstpage
    570
  • Lastpage
    573
  • Abstract
    A control frame of cognition in cognitive system with fuzzy-neural network is presented in this paper. Based on the Norman´s model (1980) of cognitive system and perception control framework, the control algorithm is given by combination of control theory. The control structure of cognitive system can be illustrated in some forms of model-based control, and the Fuzzy-Neural control is introduced into the cognition. The structural modeling of cognitive system is also proposed to give an analytical method for understanding of human control system. This paper provides some foundations of cognitive system engineering in terms of control. Since the principle concerns the knowledge of cognitive science and control engineering, it shows advantages for development of control theory and inter-discipline in human cognitive system theory.
  • Keywords
    cognition; fuzzy neural nets; medical control systems; neurocontrollers; Norman cognitive system model; cognition control frame; cognitive science; control engineering; control theory development; fuzzy neural network; human cognitive system theory; model-based control; perception control framework; Brain modeling; Cognition; Cognitive science; Control systems; Humans; Process control; Psychology; cognition; cognitive system engineering; fuzzy neural network; neuroscience; norman´s model; perception control; psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science and Engineering (ICSSE), 2011 International Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-61284-351-3
  • Electronic_ISBN
    978-1-61284-472-5
  • Type

    conf

  • DOI
    10.1109/ICSSE.2011.5961967
  • Filename
    5961967