Abstract
[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 |
|---|---|
| Original language | English |
| Title of host publication | Foundations of Learning Classifier Systems |
| Publisher | Springer |
| Volume | 183 |
| ISBN (Print) | 3540250735 |
| Publication status | Published - 2005 |
Bibliographical note
Other page information: 1-17Other identifier: 2000416