If complexity is your problem, learning classifier systems (LCSs) may offer a solution. These
rule‐based, multifaceted, machine learning algorithms originated and have evolved in the …

This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …

So fast, so cheap, so efficient, Internet is nowadays incontestably communication mean of
choice for personal, business and academic purposes. Unfortunately, Internet has not only …

Evolutionary computation techniques have had limited capabilities in solving large-scale
problems due to the large search space demanding large memory and much longer training …

Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John
Holland in 1976. They are rule-based systems in which learning is viewed as a process of …

What Is a Learning Classifier System? Page 1 What Is a Learning Classifier System? John H.
Holland1, Lashon B. Booker2, Marco Colombetti3, Marco Dorigo4, David E. Goldberg5 …

Many real-world problems are not conveniently expressed using the ternary representation
typically used by Learning Classifier Systems and for such problems an interval-based …

Learning classifier systems (LCSs) are rule-based systems that automatically build their
ruleset. At the origin of Holland's work, LCSs were seen as a model of the emergence of …

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 …

Classifier systems are an intriguing approach to a broad range of machine learning
problems, based on automated generation and evaluation of condi tion/action rules …