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Collective Learning Systems: A Model for Automatic Control

Published

Author(s)

Steve Osella

Abstract

As an alternative to pre-programmed rule-based Artificial Intelligence, Collective Learning Systems Theory postulates a hierarchical network of cellular automata which acquire their knowledge through learning based on a series of trial-and-error interactions with an evaluating Environment, much as humans do.
Proceedings Title
Proceedings of the 4th International Symposia for Intelligent Control

Keywords

artificial intelligence, collective learning systems, hierarchical network

Citation

Osella, S. (1989), Collective Learning Systems: A Model for Automatic Control, Proceedings of the 4th International Symposia for Intelligent Control, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821418 (Accessed June 18, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created January 1, 1989, Updated February 17, 2017