Rule-based evolutionary online learning systems : a principled approach to LCS analysis and design / Martin V. Butz.
"Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoas Michig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali-...
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| Main Author: | |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Berlin :
Springer,
[2006]
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| Series: | Studies in fuzziness and soft computing ;
v. 191. |
| Subjects: | |
| Online Access: | Springer eBooks |
Table of Contents:
- Introduction
- 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.