[Learning] Classifier Systems are a kind of rule-based system with general mechanisms for processing rules in parallel, for adaptive generation of new rules, and for testing the effectiveness of existing rules. These mechanisms make possible performance and learning without the "brittleness" characteristic of most expert systems in AI.
|Translated title of the contribution||Foundations of Learning Classifier Systems: An Introduction|
|Title of host publication||Foundations of Learning Classifier Systems|
|Publication status||Published - 2005|
Bibliographical noteOther page information: 1-17
Other identifier: 2000416