A Self-Organizing Binary Decision Tree for Incrementally Defined Rule-Based Systems

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Permanent URL	http://hdl.lib.byu.edu/1877/2412
Title	A Self-Organizing Binary Decision Tree for Incrementally Defined Rule-Based Systems
BYU Creator	Campbell, Douglas M. Martinez, Tony R.
Keywords	ASOCS; adaptive self-organizing concurrent system; adaptive network; adaptive algorithm
Description/Abstract	This paper presents an adaptive self-organizing concurrent system (ASOCS) model for massively parallel processing of incrementally defined rule systems in such areas as adaptive logic, robotics, logical inference, and dynamic control. An ASOCS is an adaptive network composed of many simple computing elements operating asynchronously and in parallel. This paper focuses on adaptive algorithm 3 (AA3) and details its architecture and learning algorithm. It has advantages over previous ASOCS models in simplicity, implementability, and cost. An ASOCS can operate in either a data processing mode or a learning mode. During the data processing mode, an ASOCS acts as a parallel hardware circuit. In learning mode, rules expressed as Boolean conjunctions are incrementally presented to the ASOCS. All ASOCS learning algorithms incorporate a new rule in a distributed fashion in a short, bounded time.
Source	Martinez, T. R. and Campbell, D. M., "A Self-Organizing Binary Decision Tree for Incrementally Defined Rule Based Systems", IEEE Transactions on Systems, Man, and Cybernetics, vol. 21, No. 5, pp. 1231-1238, 1991.;
Publisher	IEEE
Date Original	1991
Date Digital	2010-09-09
Language	English eng en
Publication Type	Peer-Reviewed Articles
Type	Text
Format	application/pdf
Owning Institution	Brigham Young University
BYU College	College of Physical and Mathematical Sciences
BYU Department	Computer Science
Copyright Status	(c) 1991 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.;
Copyright Use Information	http://www.lib.byu.edu/generic_copyright.html

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A Self-Organizing Binary Decision Tree for Incrementally Defined Rule-Based Systems

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