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
Link To Document :
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