Niching methods extend genetic algorithms to domains that require the location and
maintenance of multiple solutions. Such domains include classification and machine …

A new genetic algorithm based system is presented and applied to the task of predicting the
future performances of individual stocks. The system in its most general form can be applied …

Genetic algorithms (GAs) with fitness sharing have been analyzed and successfully applied
to problems in search and optimization, while GAs using various types of resource sharing …

We approach the difficult task of analyzing the complex behavior of even the simplest
learning classifier system (LCS) by isolating one crucial subfunction in the LCS learning …

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 …

Anticipatory Learning Classifier Systems describes the state of the art of anticipatory
learning classifier systems-adaptive rule learning systems that autonomously build …

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 …

Kansei engineering expert systems simulate human perception for the evaluation of product
design. A procedure of inducing a fuzzy decision tree for the Kansei engineering system is …

Learning classifier systems traditionally use genetic algorithms to facilitate rule discovery,
where rule fitness is payoff based. Current research has shifted to the use of accuracy-based …

The paper presents examples of emergent behavior in classifier systems, focusing on
symbolic reasoning and learning. These behaviors are related to global dynamical …