ABSTRACT
Classifier systems are software tools that can learn to control or interpret complex environments without help from the user. This is the sort of task to which artificial neural networks are often applied, but both the internal structure of a classifier system and the way that it learns are very different from those of a neural network. The “environment” that the classifier system attempts to learn about might be a physical entity, such as a biochemical fermentor, or it might be something less palpable, such as a scientific database or a library of scientific papers.
