Implications of Recursive Distributed Representations
Abstract
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.
Cite
Text
Pollack. "Implications of Recursive Distributed Representations." Neural Information Processing Systems, 1988.Markdown
[Pollack. "Implications of Recursive Distributed Representations." Neural Information Processing Systems, 1988.](https://mlanthology.org/neurips/1988/pollack1988neurips-implications/)BibTeX
@inproceedings{pollack1988neurips-implications,
title = {{Implications of Recursive Distributed Representations}},
author = {Pollack, Jordan B.},
booktitle = {Neural Information Processing Systems},
year = {1988},
pages = {527-536},
url = {https://mlanthology.org/neurips/1988/pollack1988neurips-implications/}
}