Technical Report: LAIR 89-JP-NIPS

[Jordan B. Pollack]

Preprint of a NIPS paper is now available.

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  Randy Miller
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  Columbus, OH  43210

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	IMPLICATIONS OF RECURSIVE DISTRIBUTED REPRESENTATIONS

			  Jordan B. Pollack
		      Laboratory for AI Research
			Ohio State University
			  Columbus, OH 43210

I will describe my recent results on the automatic development of
fixed-width recursive distributed representations of variable-sized
hierarchal data structures.  One implication of this work is that
certain types of AI-style data-structures can now be represented in
fixed-width analog vectors.  Simple inferences can be performed using
the type of pattern associations that neural networks excel at.
Another implication arises from noting that these representations
become self-similar in the limit.  Once this door to chaos is opened,
many interesting new questions about the representational basis of
intelligence emerge, and can (and will) be discussed.