Rule-Based Evolutionary Online Learning Systems A Principled Approach to LCS Analysis and Design /

• Main Author: Butz, Martin V. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Series: Studies in Fuzziness and Soft Computing, 191
• Subjects: Computer science.; Neurosciences.; Computers.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Theory of Computation.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Applications of Mathematics.

This book offers a comprehensive introduction to learning classifier systems (LCS) – or more generally, rule-based evolutionary online learning systems. LCSs learn interactively – much like a neural network – but with an increased adaptivity and flexibility. This book provides the necessary backgrou...

Table of Contents:

• Prerequisites
• Simple Learning Classifier Systems
• The XCS Classifier System
• How XCS Works: Ensuring Effective Evolutionary Pressures
• When XCS Works: Towards Computational Complexity
• Effective XCS Search: Building Block Processing
• XCS in Binary Classification Problems
• XCS in Multi-Valued Problems
• XCS in Reinforcement Learning Problems
• Facetwise LCS Design
• Towards Cognitive Learning Classifier Systems
• Summary and Conclusions.