Implications of Recursive Distributed Representations
–Neural Information Processing Systems
I will describe my recent results on the automatic development of fixedwidth recursive distributed 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.
Neural Information Processing Systems
Dec-31-1989
- Country:
- North America > United States > New Mexico (0.28)
- Technology:
- Information Technology > Artificial Intelligence
- Cognitive Science (1.00)
- Machine Learning > Neural Networks (1.00)
- Natural Language (1.00)
- Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence