Implications of Recursive Distributed Representations

Part of Advances in Neural Information Processing Systems 1 (NIPS 1988)

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Jordan Pollack


I will describe my recent results on the automatic development of fixed(cid:173) width recursive distributed representations of variable-sized hierarchal data structures. One implication of this wolk is that certain types of AI-style 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. many interesting new questions about the representational basis of intelligence emerge, and can (and will) be discussed.