CMU Artificial Intelligence Repository
AQ-Prolog: Reimplementation of Michalski's AQ for attribute
vectors
areas/learning/systems/learn_pl/aq1/
This directory contains Jeffrey M. Becker's AQ-PROLOG, a
reimplementation of Michalski's AQ for attribute vectors
Origin:
ftp.gmd.de:/gmd/mlt/ML-Program-Library/ [129.26.8.84]
Version: 14-JAN-94
Requires: Prolog
Ports: The algorithm is written in Edinburgh Prolog syntax.
Copying: Copyright (c) 1985 Jeffrey M. Becker
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Jeffrey M. Becker, Thomas Hoppe
Contact: Thomas Hoppe (Machine Learning Library)
Projektgruppe KIT
Technische Universitaet Berlin
Franklinstr. 28/29,
10629 Berlin, Germany.
Werner Emde (ftp library)
Gesellschaft fuer Mathematik und Datenverarbeitung, Bonn
Keywords:
AQ-Prolog, Authors!Becker, Conceptual Clustering,
Inductive Learning, Machine Learning, Michalski's AQ,
Prolog!Code, Prolog!Code
References:
Becker, J.M., "AQ-PROLOG: A Prolog Implementation of an
Attribute-Based Learning System", Reports of the Intelligent
Systems Group, Department of Computer Science, University of
Illinois at Urbana-Champaign, Report Number ISG 85-1, January 1985.
Michalski, R.S. and Stepp, R.E., "Learning from Observation:
Conceptual Clustering", in: Machine Learning, Michalski, R.S.,
Carbonell, J.G., Mitchell, T.M. (eds.), Tioga Publishing Company, Palo
Alto, 1983.
Michalski, R.S., "Inductive Learning", in: Machine Learning, Michalski,
R.S., Carbonell, J.G., Mitchell, T.M. (eds.), Tioga Publishing
Company, Palo Alto, 1983.
Last Web update on Mon Feb 13 10:24:22 1995
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