Title :
A hybrid hierarchical neural-AI model of mammal-like intelligence
Author_Institution :
Nat. Sci. Found., Arlington, VA, USA
Abstract :
This paper briefly summarizes and cites work which tries to bridge the gap, between advanced neural network designs and some of the known capabilities of mammalian intelligence. The new design draws heavily on concepts of hierarchy and temporal chunking from AI, and on relational representation of objects and space
Keywords :
brain models; neural nets; neurophysiology; advanced neural network designs; hybrid hierarchical neural-AI model; mammal-like intelligence; relational representation; temporal chunking; Artificial intelligence; Biological neural networks; Bridges; Design engineering; Dynamic programming; Humans; Intelligent networks; Learning; Quantum computing; Systems engineering and theory;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.638182
