A representation of representation applied to a discussion of variable binding
نویسنده
چکیده
States or state sequences in neural network models are made to represent concepts from applications. This paper motivates, introduces and discusses a formalism for denoting such representations; a representation for representations. The formalism is illustrated by using it to discuss the representation of variable binding and inference abstractly, and then to present four speci c representations. One of these is an apparently novel hybrid of phasic and tensor-product representations which retains the desirable properties of each.
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تاریخ انتشار 1993