作者: Stewart W. Wilson
关键词: Learning classifier system 、 Genetic programming 、 Action selection 、 Margin classifier 、 Q-learning 、 Artificial intelligence 、 Zeroth law of thermodynamics 、 Pattern recognition 、 Classifier (UML) 、 Quadratic classifier 、 Computer science
摘要: 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 Q-learning brought out, their performances compared in environments two difficulty levels. Extensions ZCS are proposed for temporary memory, better action selection, more efficient use the genetic algorithm, general representation.