4.5 the Learning Classifier Systems

In Section 4.5, we introduced several methods that use the RBFN as a classifier. This section introduces another classification method called the learning classifier system (LCS), proposed by John Holland [62]. The learning classifier system is a rule-based, message-passing, machine learning paradigm designed to process environmental stimuli, much like the input-to-output mapping provided by a neural network. The LCS provides learning through genetic and evolutionary adaptation to changing task environments. Thus, the learning mechanisms are built in directly into paradigm.