A representation of representation applied to a discussion of variable binding

Richard Rohwer

Research output: Chapter in Book/Published conference outputChapter

Abstract

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 specific representations. One of these is an apparently novel hybrid of phasic and tensor-product representations which retains the desirable properties of each.
Original languageEnglish
Title of host publicationNeurodynamics and Psychology
EditorsM. Oaksford, G. D. A. Brown
PublisherAcademic Press
Pages255-266
Number of pages12
ISBN (Print)0125235151
Publication statusPublished - 4 Jan 1994
EventNeuro Dynamics and Psychology -
Duration: 4 Jan 19944 Jan 1994

Other

OtherNeuro Dynamics and Psychology
Period4/01/944/01/94

Bibliographical note

Error in formula 25.

Keywords

  • neural network
  • representation
  • variable binding
  • inference abstractly

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