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Towards Learning Classifier Systems for Continuous-Valued Online Environments
Christopher Stone and Larry Bull
Faculty of Computing, Engineering and Mathematical Sciences
University of the West of England
Bristol, BS16 1QY, United Kingdom
{christopher.stone,larry.bull}@uwe.ac.uk
Abstract. Previous work has studied the use of interval representations in XCS to allow its use in continuous-valued environments. Here we compare the speed of learning of continuous-valued versions of ZCS and XCS with a simple model of an online environment.
LNCS 2724, p. 1924 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003