Learning classifier systems

J. Holland introduced the concept of learning classifier systems (LCS) more than 30 years ago as an extension to evolutionary computing [11:10].

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 new rules.

However, the concept started to get the attention of computer scientists only a few years ago, with the introduction of several variants of the original concept, including extended learning classifiers (XCS). Learning classifier systems are interesting because they combine rules, reinforcement learning, and genetic algorithms.

Note

Disclaimer

The implementation of the extended ...

Get Scala:Applied Machine Learning now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.