Implications of Recursive Distributed Representations

Pollack, Jordan B.

Neural Information Processing Systems 

I will describe my recent results on the automatic development of fixedwidth recursivedistributed representations of variable-sized hierarchal data structures. One implication of this wolk is that certain types of AIstyle data-structures can now be represented in fixed-width analog vectors. Simple inferences can be perfonned 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.

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