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 December 14, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Collective Learning Systems: A Model for Automatic Control
Published
Author(s)
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
Pub Type
Conferences
Download Paper
Keywords
artificial intelligence, collective learning systems, hierarchical network
Citation
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