Open AccessZCS: A Zeroth Level Classifier System
Author(s) -
Stewart W. Wilson
Publication year - 1994
Publication title -
evolutionary computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.732
H-Index - 82
eISSN - 1530-9304
pISSN - 1063-6560
DOI - 10.1162/evco.1994.2.1.1
Subject(s) - classifier (uml) , computer science , artificial intelligence , machine learning , algorithm
A basic classifier system, ZCS, is presented that keeps much of Holland's original framework but simplifies it to increase understandability and performance. ZCS's relation to Q-learning is brought out, and their performances compared in environments of two difficulty levels. Extensions to ZCS are proposed for temporary memory, better action selection, more efficient use of the genetic algorithm, and more general classifier representation.
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