NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

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.

PUBLICATIONS

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
Pub Type
Conferences

Download Paper

Local Download

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 November 5, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created January 1, 1989, Updated February 17, 2017
Was this page helpful?