DocumentCode
1661131
Title
The future of associative learning
Author
Andreae, John H.
Author_Institution
Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
fYear
1995
Firstpage
194
Lastpage
197
Abstract
Research into associative learning has been under taboo within AI for more than three decades. The author argues that the prospects of associative learning are too good for this to be allowed to continue. He discusses the development of STeLLA learning robot, PURR-PUSS system and the application of the CMAC neural network
Keywords
associative processing; cerebellar model arithmetic computers; intelligent control; learning (artificial intelligence); robots; AI; CMAC neural network; PURR-PUSS; STeLLA; artificial intelligence; associative learning; future; learning robot; research; Artificial intelligence; History; Humans; Learning systems; Organisms; Problem-solving; Proposals; Psychology; Safety; Turing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-7174-2
Type
conf
DOI
10.1109/ANNES.1995.499470
Filename
499470
Link To Document