Read Connectionist Symbol Processing (Special Issues of Artificial Intelligence)

Connectionist Symbol Processing (Special Issues of Artificial Intelligence)

Geoffrey Hinton

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Description:The six contributions in Connectionist Symbol Processing address the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple learning procedures that lack the ability to represent complex structures effectively. The authors seek to extend the representational power of connectionist networks without abandoning the automatic learning that makes these networks interesting. Aware of the huge gap that needs to be bridged, the authors intend their contributions to be viewed as exploratory steps in the direction of greater representational power for neural networks. If successful, this research could make it possible to combine robust general purpose learning procedures and inherent representations of artificial intelligence--a synthesis that could lead to new insights into both representation and learning.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Connectionist Symbol Processing (Special Issues of Artificial Intelligence). To get started finding Connectionist Symbol Processing (Special Issues of Artificial Intelligence), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 026258106X

Description: The six contributions in Connectionist Symbol Processing address the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple learning procedures that lack the ability to represent complex structures effectively. The authors seek to extend the representational power of connectionist networks without abandoning the automatic learning that makes these networks interesting. Aware of the huge gap that needs to be bridged, the authors intend their contributions to be viewed as exploratory steps in the direction of greater representational power for neural networks. If successful, this research could make it possible to combine robust general purpose learning procedures and inherent representations of artificial intelligence--a synthesis that could lead to new insights into both representation and learning.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Connectionist Symbol Processing (Special Issues of Artificial Intelligence). To get started finding Connectionist Symbol Processing (Special Issues of Artificial Intelligence), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Connectionist Symbol Processing (Special Issues of Artificial Intelligence)

Connectionist Symbol Processing (Special Issues of Artificial Intelligence)

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