Synopsis
This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.
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About the Author
Geoffrey E. Hinton, James A. Anderson
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Parallel Models of Associative Memory: Updated Edition (Cognitive Science Series)
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Lawrence Erlbaum Associates, 1989
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