• DocumentCode
    510287
  • Title

    Research on Structure of Humanized Perceptron in Artificial Life

  • Author

    Tie-qiang Sun ; Yi-Xin Yin ; Xu-yan Tu

  • Author_Institution
    Coll. of Inf., Hebei Polytechenic Univ., Tangshan, China
  • Volume
    3
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    With more analysis on animal´s perceptive system and the rapid development of bionic sensors, it is possible to study intelligence perceptron based on artificial life. The main research of perceptron in artificial life is to synthesize local and incomplete measurement providing by some homogeneous or heterogeneous sensors which distributing in different areas and states, and then give a relatively uniform sense description of the environment. Because one of the important characters of human sense is active sensing, the study of humanized perceptron is not the simple information fusion, and the sense is not a one-way perception but a cycling one, that is to say, the sense may be process between identification and action. Attention mechanism decides which organ is active, and at the same time, other relative sensors cooperating with this active organ work together actively, so the target will be recognized correctly. In this paper, the concept of humanized perceptron is defined and the function architecture of humanized perceptron is established.
  • Keywords
    artificial life; perceptrons; active sensing; artificial life; bionic sensors; function architecture; humanized perceptron; information fusion; perceptive system; Artificial intelligence; Artificial neural networks; Biosensors; Cognition; Computational modeling; Computer simulation; Decision making; Humans; Information science; Intelligent sensors; Artificial Lif; Humanized; Perceptron;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.198
  • Filename
    5376729