abstract = "A number of representation schemes have been presented
for use within Learning Classifier Systems, ranging
from binary encodings to neural networks. This paper
presents results from an investigation into using a
discrete dynamical system representation within the XCS
Learning Classifier System. In particular, asynchronous
random Boolean networks are used to represent the
traditional condition-action production system rules.
It is shown possible to use self-adaptive, open-ended
evolution to design an ensemble of such discrete
dynamical systems within XCS to solve a number of
well-known test problems.",
notes = "GECCO-2009 A joint meeting of the eighteenth
international conference on genetic algorithms
(ICGA-2009) and the fourteenth annual genetic
programming conference (GP-2009).