[ manual internal classifier machine ]
Learning classifier systems, or LCS, are a paradigm of rule based machine learning methods that combine a discovery component ( typically a genetic algorithm) with a learning component (performing either supervised learning, reinforcement learning, or unsupervised learning). Learning classifier systems seek to identify a set of context dependent rules that collectively store and apply