Category: Proceedings

CIG-2009 proceedings available online

Pier Luca Lanzi just sent a note saying saying that the proceedings of the 2009 Symposium on Computational Intelligence and Games (CIG-2009) are now available on-line at
http://www.ieee-cig.org/cig-2009/Proceedings/
Related Posts

Pier Luca Lanzi just sent a note saying saying that the proceedings of the 2009 Symposium on Computational Intelligence and Games (CIG-2009) are now available on-line at

http://www.ieee-cig.org/cig-2009/Proceedings/

Related Posts

    Learning Classifier Systems, Springer LNAI 4998

    Learning Classifier Systems:
    10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006, and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers
    Series: Lecture Notes in Computer Science
    Subseries: Lecture Notes in Artificial Intelligence , Vol. 4998
    Bacardit, J.; Bernadó-Mansilla, E.; Butz, M.V.; Kovacs, T.; Llorà, X.; Takadama, K. (Eds.)
    2008, X, 307 p., Softcover
    ISBN: 978-3-540-88137-7


    Abstract

    This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 – all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.

    Advances at the frontier of LCS: LNCS 4399

    “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

    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