Advances at the frontier of LCS: LNCS 4399

Xavier Llorà — Tue, 09 Jan 2007 04:30:47 +0000

“Advances at the frontier of Learning Classifier Systems” has been shipped to Springer for the final stages of editing and printing. The volume is going to be printed as Springer’s LNCS 4399 volume. When we started editing this volume, we faced the choice of organizing the contents in a purely chronological fashion or as a sequence of related topics that help walk the reader across the different areas. In the end we decided to organize the contents by area, breaking a little the time-line. This was not a simple endeavor as we could organize the material using multiple criteria. The taxonomy below is our humble effort to provide a coherent grouping. Needless to say, some works may fall in more than one category. Below, you may find the tentative table of contents of the volume. It may change a little bit, but we will keep you posted as soon as we learn from Springer.

Part I. Knowledge representation

1. Analyzing Parameter Sensitivity and Classifier Representations for Real-valued XCS
by Atsushi Wada, Keiki Takadama, Katsunori Shimohara, and Osamu Katai
4399 - 001
2. Use of Learning Classifier System for Inferring Natural Language Grammar
by Olgierd Unold and Grzegorz Dabrowski
4399 - 018
3. Backpropagation in Accuracy-based Neural Learning Classifier Systems
by Toby O’Hara and Larry Bull
4399 - 026
4. Binary Rule Encoding Schemes: A Study Using The Compact Classifier System
by Xavier Llorà, Kumara Sastry , and David E. Goldberg
4399 - 041

Part II. Mechanisms

5. Bloat control and generalization pressure using the minimum description length principle for a Pittsburgh approach Learning Classifier System
by Jaume Bacardit and Josep Maria Garrell
4399 - 061
6. Post-processing Clustering to Decrease Variability in XCS Induced Rulesets
by Flavio Baronti, Alessandro Passaro, and Antonina Starita
4399 - 081
7. LCSE: Learning Classifier System Ensemble for Incremental Medical Instances
by Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, and Da-qian Gu
4399 - 094
8. Effect of Pure Error-Based Fitness in XCS
by Martin V. Butz , David E. Goldberg, and Pier Luca Lanzi
4399 - 105
9. A Fuzzy System to Control Exploration Rate in XCS
by Ali Hamzeh and Adel Rahmani
4399 - 116
10. Counter Example for Q-bucket-brigade under Prediction Problema
by Atsushi Wada, Keiki Takadama, and Katsunori Shimohara
4399 - 130
11. An Experimental Comparison between ATNoSFERES and ACS
by Samuel Landau, Olivier Sigaud, Sébastien Picault, and Pierre Gérard
4399 - 146
12. The Class Imbalance Problem in UCS Classifier System: A Preliminary Study
by Albert Orriols-Puig and Ester Bernadó-Mansilla
4399 - 164
13. Three Methods for Covering Missing Input Data in XCS
by John H. Holmes, Jennifer A. Sager, and Warren B. Bilker
4399 - 184

Part III. New Directions

14. A Hyper-Heuristic Framework with XCS: Learning to Create Novel Problem-Solving Algorithms Constructed from Simpler Algorithmic Ingredients
by Javier G. Marín-Blázquez and Sonia Schulenburg
4399 - 197
15. Adaptive value function approximations in classifier systems
by Lashon B. Booker
4399 - 224
16. Three Architectures for Continuous Action
by Stewart W. Wilson
4399 - 244
17. A Formal Relationship Between Ant Colony Optimizers and Classifier Systems
by Lawrence Davis
4399 - 263
18. Detection of Sentinel Predictor-Class Associations with XCS: A Sensitivity Analysis
by John H. Holmes
4399 - 276

Part IV. Application-oriented research and tools

19. Data Mining in Learning Classifier Systems: Comparing XCS with GAssist
by Jaume Bacardit and Martin V. Butz
4399 - 290
20. Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule
by Jaume Bacardit, David E. Goldberg, and Martin V. Butz
4399 - 299
21. Using XCS to Describe Continuous-Valued Problem Spaces
by David Wyatt, Larry Bull, and Ian Parmee
4399 - 318
22. The EpiXCS Workbench: A Tool for Experimentation and Visualization
by John H. Holmes and Jennifer A. Sager
4399 - 343

Advances at the frontier of LCS (Volume I) is coming

Xavier Llorà — Thu, 01 Dec 2005 14:00:27 +0000

The final editing of the volume Advances at the frontier of LCS to be published by Springer is advancing at steady pace. The volume is going to be an overview of the research LCS and other GBML presented at IWLCS. The volume will cover 2003, 2004, and 2005 contributions.

So far, these are the raw numbers for 2003 and 2004 contributions:

2003: 11 chapters by 26 different authors
2004: 8 chapters by 15 different authors

The decisions about 2005 will be out soon. We will keep you posted

Camera ready instructions for IWLCS 2003 and 2004 proceedings

Xavier Llorà — Mon, 07 Nov 2005 17:22:55 +0000

Springer has agreed to publish the compilation volume Advances in Learning Classifier Systems (the title may be slightly changed) including contributions from the International Workshop of Learning Classifier Systems in its editions of 2003, 2004, and 2005. This volume will present an overview of the work presented in the last three years of the workshop and will include up to 30 contributions.

The deadline for the camera-ready of your contribution to IWLCS was initially set to November 15. Due to the previous delay, we would extend this deadline until November 25 for your convenience. Please do not to hesitate to get in touch if you may not be able to reach this deadline. Due to the size of this volume, we would like to stick to this deadline to be able to have the volume ready for the next workshop edition in Seattle.

For further instructions about how to prepare your camera ready please check the Springer format instructions for authors at

Contributions should not exceed 20 pages. Authors providing camera- readies that do not complain with the LNCS format or exceed the maximum number of pages will be ask to resubmit them, and may not be included if time constraints do not allow us to do so.