DocumentCode :
3064906
Title :
Toward Higher Level Intelligent Systems
Author :
Madani, Kurosh
Author_Institution :
Paris XII Univ., Paris
fYear :
2007
fDate :
28-30 June 2007
Firstpage :
31
Lastpage :
36
Abstract :
If much remains still to discover concerning animal brain\´s internal structure as well as concerning its learning and self-organization mechanisms,, a number of recent advances in "neurobiology" already highlight some of key mechanisms of this marvels machine. Among them one can emphasizes brain\´s "modular" structure and its "self-organizing" capabilities. The main goal of this paper is to show how these primary supplies, especially the modularity, could be exploited and combined in the frame of "soft- computing" issued techniques in order to design intelligent artificial systems emerging higher level intelligent behavior than conventional Artificial Neural Networks (ANN) based structures.
Keywords :
brain; learning (artificial intelligence); neural nets; self-adjusting systems; animal brain; artificial neural networks; higher level intelligent systems; intelligent artificial systems; modular structure; neurobiology; self-organizing capabilities; Animal structures; Artificial intelligence; Artificial neural networks; Computer networks; Intelligent networks; Intelligent structures; Intelligent systems; Learning systems; Machine intelligence; Machine learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Information Systems and Industrial Management Applications, 2007. CISIM '07. 6th International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
0-7695-2894-5
Type :
conf
DOI :
10.1109/CISIM.2007.67
Filename :
4273492
Link To Document :
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