preprint available from the neuroprose archive

David J Stucki stucki at cis.ohio-state.edu
Sun May 17 00:25:47 EDT 1992


The following paper has been placed in the Neuroprose archive.

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Fractal (Reconstructive Analogue) Memory

David J. Stucki and Jordan B. Pollack
Laboratory for Artificial Intelligence Research
Department of Computer and Information Science
The Ohio State University
Columbus, OH 43210

Abstract

This paper proposes a new approach to mental imagery that has the
potential for resolving an old debate. We show that the methods by
which fractals emerge from dynamical systems provide a natural
computational framework for the relationship between the "deep"
representations of long-term visual memory and the "surface"
representations of the visual array, a distinction which was proposed
by (Kosslyn, 1980). The concept of an iterated function system (IFS)
as a highly compressed representation for a complex topological set of
points in a metric space (Barnsley, 1988) is embedded in a
connectionist model for mental imagery tasks. Two advantages of this
approach over previous models are the capability for topological
transformations of the images, and the continuity of the deep
representations with respect to the surface representations.


To be published in the Proceedings of the Fourteenth Annual Conference
of the Cognitive Science Society, Bloomington, Indiana, July/August, 1992.

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Filename: stucki.frame.ps.Z
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FTP INSTRUCTIONS

     unix% ftp archive.cis.ohio-state.edu (or 128.146.8.52)
     Name: anonymous
     Password: anything
     ftp> cd pub/neuroprose
     ftp> binary
     ftp> get stucki.frame.ps.Z
     ftp> bye
     unix% zcat stucki.frame.ps.Z | lpr
(or whatever *you* do to print a compressed PostScript file)
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dave...
David J Stucki	   /\ ~~ /\  ~~	 /\  ~~	 /\  ~~	c/o Dept. Computer and 
537 Harley Dr. #6 /  \  /  \ 	/  \ 	/  \   	/   Information Science
Columbus, OH  43202   \/    \  /    \  /    \  /    2036 Neil Ave.
stucki at cis.ohio-state.edu ~  \/  ~~  \/	 ~~  \/	    Columbus, OH 43210

There is no place in science for ideas,
there is no place in epistemology for knowledge,
and there is no place in semantics for meanings.  -- W.V. Quine


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