DocumentCode :
2988126
Title :
A new model for the cognitive process. Artificial cognition
Author :
Keene, Richard
Author_Institution :
Park City Group, UT, USA
fYear :
1995
fDate :
29-31 May 1995
Firstpage :
196
Lastpage :
202
Abstract :
A theory is presented: that a subsumptive neural system coupled with a semi-randomly connected, teachable, neural net will result in cognitive behavior similar to what appears to happen in biological brains. The paper discusses a new theory of what cognition is, and an algorithm for the simulation of cognition. The topics of what the brain appears to do, why the brain provides the functions it does, and how this could be simulated are discussed. The intent is to arrive at a single unified algorithm that covers all functions of the brain
Keywords :
brain models; neural nets; artificial cognition; biological brains; cognitive process; semi-randomly connected teachable neural net; subsumptive neural system; Biological neural networks; Biological system modeling; Brain modeling; Chemical sensors; Cities and towns; Cognition; Frequency; Neurons; Organisms; Tactile sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence in Neural and Biological Systems, 1995. INBS'95, Proceedings., First International Symposium on
Conference_Location :
Herndon, VA
Print_ISBN :
0-8186-7116-5
Type :
conf
DOI :
10.1109/INBS.1995.404261
Filename :
404261
Link To Document :
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