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Localist Connectionist Approaches To Human Cognition (Scientific Psychology Series),Used
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This volume provides an overview of a relatively neglected branch of connectionism known as localist connectionism. The singling out of localist connectionism is motivated by the fact that some critical modeling strategies have been more readily applied in the development and testing of localist as opposed to distributed connectionist models (models using distributed hiddenunit representations and trained with a particular learning algorithm, typically backpropagation). One major theme emerging from this book is that localist connectionism currently provides an interesting means of evolving from verbalboxological models of human cognition to computerimplemented algorithmic models. The other central messages conveyed are that the highly delicate issue of model testing, evaluation, and selection must be taken seriously, and that modelbuilders of the localist connectionist family have already shown exemplary steps in this direction.
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