Title :
The future of associative learning
Author :
Andreae, John H.
Author_Institution :
Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
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;
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
DOI :
10.1109/ANNES.1995.499470
