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IWLCS 2007 - Extended Deadline

19 March 2007

The deadline for workshop submissions has been extended until friday, the 23rd of March. Later submissions may be considered for presentation but will not appear in the conference workshop proceedings. For further information, please consult the IWLCS 2007 webpage.

Call For Papers: The Tenth International Workshop on Learning Classifier Systems (IWLCS 2007)

17 January 2007

Call for Papers for IWLCS 2007

The Tenth International Workshop on Learning Classifier Systems (IWLCS 2007) will be held in London, UK, July 7-8, 2007 during the Genetic and Evolutionary Computation Conference (GECCO-2007), July 7-11, 2007.

Since Learning Classifier Systems (LCSs) were introduced by John H. Holland as a way of applying evolutionary computation to machine learning problems, the LCS paradigm has broadened greatly into a framework encompassing many representations, rule discovery mechanisms, and credit assignment schemes. Current LCS applications range from data mining, to automated innovation, and to the on-line control of cognitive systems. LCS is a very active area of research that encompasses various system approaches. Wilson’s accuracy-based XCS system has received the highest attention and gained the highest reputation.

LCSs are benefiting from recent advances in machine learning, and reinforcement learning in particular, as well as in evolutionary computation. Novel insights in these two areas are continuously integrated into the LCS framework.

We invite submissions which discuss recent developments in all areas of research on, and applications of, Learning Classifier Systems. IWLCS is the event that brings together most of the core researchers in classifier systems. Moreover, a free introductory tutorial on LCSs is presented at GECCO 2007. The IWLCS workshop gives the opportunity also to researchers interested in LCS to get an impression of the current research directions in the field.

Submissions and Publication

There are two ways to submit papers (deadline March 16, 2007):

1. short papers (up to 4 pages in ACM format) or
2. full papers (up to 20 pages in Springer format)

All accepted papers may be presented orally at IWLCS. Accepted short papers will appear in the GECCO workshop volume. Proceedings of the workshop will be published on CD-ROM, and distributed at the conference. Authors of short papers will be invited after the workshop to submit revised (full) papers for publication in the post-workshop proceedings, in Springer LNCS/LNAI book series.

Accepted full papers will be published in the post-workshop proceedings. Authors of accepted full papers will be asked to provide a shorter 4-pages version for publication in the GECCO 2007 workshop proceedings.

The normal route is for authors to submit short papers and produce full papers after IWLCS for the post-workshop proceedings, incorporating feedback from reviewers and delegates. All submissions will be peer reviewed. Reviews of short papers will be mainly to provide feedback to enable the production of an improved full paper.

All papers should be submitted in PDF format and e-mailed to: esterb@salle.url.edu.

Important dates

• Paper submission deadline: Friday, March 16, 2007
• Notification to authors: Friday, March 30, 2007
• GECCO camera-ready material: by Wednesday, April 11, 2007
• Conference registration: Wednesday, April 11, 2007
• Workshop date: 7th or 8th July
• Extended paper submissions for LNCS/LNAI post-workshop proceedings: early fall 2007
• Notification of acceptance: late fall 2007
• LNCS/LNAI camera ready material: winter 2007/08

Committees

Organizing Commitee

• Jaume Bacardit, University of Nottingham (UK). E-mail: jqb@cs.nott.ac.uk
• Ester Bernadó-Mansilla, Universitat Ramon Llull (Spain). E-mail: esterb@salle.url.edu
• Martin V. Butz, Universitat Wurzburg (Germany). E-mail: mbutz@psychologie.uni-wuerzburg.de

Advisory Committee

• Tim Kovacs, University of Bristol (UK).
• Xavier Llorà, University of Illinois at Urbana-Champaign (USA).
• Pier Luca Lanzi, Politechnico de Milano (Italy).
• Wolfgang Stolzmann, Daimler Chrysler AG (Germany).
• Keiki Takadama, Tokyo Institute of Technology (Japan).
• Stewart Wilson, Prediction Dynamics (USA).

For more information please check here.

Preliminary IWLCS 2007 CFP

10 January 2007

London, UK, July 7-9, 2007. To be held during the Genetic and Evolutionary Computation Conference (GECCO-2007), July 7-11, 2007.

Since Learning Classifier Systems (LCSs) were introduced by Holland as a way of applying evolutionary computation to machine learning problems, the LCS paradigm has broadened greatly into a framework encompassing many representations, rule discovery mechanisms, and credit assignment schemes. Current LCS applications range from data mining to automated innovation to on-line control. Classifier systems are a very active area of research, with newer approaches, in particular Wilson’s accuracy-based XCS, receiving a great deal of attention. LCS are also benefiting from advances in the field of reinforcement learning, and there is a trend toward developing connections between the two areas. We invite submissions which discuss recent developments in all areas of research on, and applications of, Learning Classifier Systems. IWLCS is the only event to bring together most of the core researchers in classifier systems. A free introductory tutorial on LCS will be presented at GECCO 2007.

The final call for papers can be found here.

Advances at the frontier of LCS: LNCS 4399

8 January 2007

“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

IWLCS 2007 organizers

10 October 2006

Finally, we finished the pool process to get the organizers for IWLCS 2007. The next three volunteers that will be forming the organizing committee are:

• Bacardit, Jaume. University of Nottingham (UK)
• Bernadó Mansilla, Ester. Universitat Ramon Llull (Spain)
• Butz, Martin. Universitat Wurzburg (Germany)

Please join us welcoming them and encouraging them while taking the challenge of keeping IWLCS moving forward and expanding its reach. The advisory committee is now formed by

• Kovacs, Tim. University of Bristol (UK)
• Lanzi, Pier Luca. Politecnico di Milano (Italy)
• Llorà, Xavier. University of Illlinois at Urbana-Champaign (USA)
• Stolzman, Wolfgang. Daimler Chrysler AG (Germany)
• Takadama, Keiki. Tokyo Institute of Technology (Japan)
• Wilson, Stewart. Prediction Dynamics (USA)

IWLCS 2007: Call for organizers

10 July 2006

Dear colleagues,

The term for Tim Kovacs, Xavier Llorà, and Keiki Takadama as organizers of the International Workshop on Learning Classifier Systems is over. For the last two years we have organized the workshop and we have put together a book that covers 2003, 2004, and 2005 workshops (soon to enter the printing stage).

We have greatly enjoyed working with you all. Your friendship and help has motivated and guide us maintain alive the great effort that Pier Luca Lanzi, Stewart Wilson, and Wolfgang Stolzman started in 1999.

We would humbly put out this call for organizer for IWLCS 2007. For those of you that have been with us in the workshops, please, do not be afraid and volunteer. We would encourage you to get in touch with us before August 1st. Just sent and email to any of us (Tim Kovacs, Xavier Llorà, and Keiki Takadama). We would announce the next organizing committee by September 1st.

Thank you all for all the support during this two-year period!
Tim, Xavier, Keiki.

Slides of the presentations of IWLCS 2006

9 July 2006

Here you can find the slides of the presentations done at the Ninth International Workshop on Learning Classifier Systems (IWLCS 2006).

• Empirical evaluation of ensemble techniques for a Pittsburgh Learning Classifier System, Jaume Bacardit, Natalio Krasnogor. [Download PDF]
• The Χ-ary Extended Compact Classifier System: Linkage Learning in Pittsburgh LCS, Xavier Llorà, Kumara Sastry, David E. Goldberg, Luis delaOssa. [Download PDF]
• An Initial Analysis of Parameter Sensitivity for XCS with Computed Prediction, Pier Luca Lanzi, Matteo Zanini.
• Improving Classifier Error Estimate in XCSF, Daniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi. [Download PDF]
• Dual-structured Classifier System Mediating XCS and Gradient Descent based Update, Atsushi Wada, Keiki Takadama, Katsunori Shimohara. [Download PDF]
• A Further Look at UCS Classifier System, Albert Orriols-Puig, Ester Bernadó-Mansilla. [Download PPT]
• Using XCS for Action Selection in RoboCup Rescue Simulation League, Ivette C. Martínez, David Ojeda, Ezequiel Zamora. [Download PDF]
• Community of Practice under Learning Classifier Systems, Yutaka I. Leon Suematsu, Keiki Takadama, Katsunori Shimohara, Osamu Katai. [Download PDF]
• Technology Extraction for Future Generations from Process Time Series Data Reflecting Expert Operator Skills, Setsuya Kurahashi, Takao Terano. [Download PDF]
• An Artificial Life Classifier System for Real-Valued Inputs, Julian Bishop. [Download PDF]
• Developing Conversational Interfaces with XCS, Dave Toney, Johanna Moore, Oliver Lemon. [Download PDF]

The Ninth International Workshop on Learning Classifier Systems (IWLCS 2006) is here!

6 July 2006

The schedule for the Ninth International Workshop on Learning Classifier Systems (IWLCS’2006) is ready. We are getting together on July 9 during the GECCO 2006 Workshops. Here is the timetable. Each presentation may last for 25 minutes for the oral presentation plus five minutes for question. We are looking forward to meet you all there!

Timetable

• 9:10 -9:20: Opening remarks. Chair: Tim Kovacs.
• 9:20-10:20:Pittsburgh Approach Session. Chair: Tim Kovacs.
  • 9:20- 9:50: Empirical evaluation of ensemble techniques for a Pittsburgh Learning Classifier System, Jaume Bacardit, Natalio Krasnogor.
  • 9:50-10:20: The Chi-ary Extended Compact Classifier System: Linkage Learning in Pittsburgh LCS, Xavier Llorà, Kumara Sastry, David E. Goldberg, Luis delaOssa.
• 10:20-10:40: Break 20 minutes.
• 10:40-12:40: Method and Analysis. Chair: Xavier Llorà.
  • 10:40-11:10: An Initial Analysis of Parameter Sensitivity for XCS with Computed Prediction, Pier Luca Lanzi, Matteo Zanini.
  • 11:10-11:40: Improving Classifier Error Estimate in XCSF, Daniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi.
  • 11:40-12:10: Dual-structured Classifier System Mediating XCS and Gradient Descent based Update, Atsushi Wada, Keiki Takadama, Katsunori Shimohara.
  • 12:10-12:40: A Further Look at UCS Classifier System, Albert Orriols-Puig, Ester Bernado-Mansilla.
• 12:40-14:20: Lunch break [NOTE: 10 minutes later + 10 minutes addition in comparison with the workshop schedule posted at the GECCO WEB page]
• 14:20-15:50: Distributed and Multiagent System. Chair: Keiki Takadama.
  • 14:20-14:50: Using XCS for Action Selection in RoboCup Rescue Simulation League, Ivette C. Martinez, David Ojeda, Ezequiel Zamora.
  • 14:50-15:20: Community of Practice under Learning Classifier Systems, Yutaka I. Leon Suematsu, Keiki Takadama, Katsunori Shimohara, Osamu Katai.
    
  • 15:20-15:50: Technology Extraction for Future Generations from Process Time Series Data Reflecting Expert Operator Skills, Setsuya Kurahashi, Takao Terano.
• 15:50-16:10: Break 20 minutes
• 16:10-17:10: Advanced Architecture. Chair: Tim Kovacs.
  • 16:10-16:40: An Artificial Life Classifier System for Real-Valued Inputs, Julian Bishop.
  • 16:40-17:10: Developing Conversational Interfaces with XCS, Dave Toney, Johanna Moore, Oliver Lemon.
• 17:10-17:50: Open Discussion.
• 17:50-18:00: Closing remarks.

List of papers to be presented at IWLCS 2006

4 May 2006

This is the list of papers accepted for presentation at IWLCS 2006 that will take place during GECCO 2006.

• Empirical evaluation of ensemble techniques for a Pittsburgh Learning Classifier System
  Bacardit, J. and Krasnogor, N.
• An Artificial Life Classifier System for Real-Valued Inputs
  Bishop, J.
• Technology Extraction for Future Generations from Process Time Series Data Reflecting Expert Operator Skills
  Kurahashi, S. and Terano, T.
• An Initial Analysis of Parameter Sensitivity for XCS with Computed Prediction
  Lanzi, P.L., and Zanini, M.
• The χ-ary Extended Compact Classifier System: Linkage Learning in Pittsburgh LCS
  Llorà, X., Sastry, K., Goldberg, D.E., and delaOssa, L.
• Using XCS for Action Selection in RoboCup Rescue Simulation League
  Martínez, I. C., Ojeda, D., and Zamora, E.
• Extending XCS with Representation in First-Order Logic
  Mellor, D.
• A Further Look at UCS Classifier System
  Orriols-Puig, A., Bernad&oaccute;-Mansilla, E.
• Agent-Based Learning Classifier Systems for Grid Data Mining
  Santos, M.F, Quintela, H., and Neves, J.
• Community of Practice under Learning Classifier Systems
  Suematsu, Y.I.L., Takadama, K., Shimohara, K., and Katai, O.
• Developing Conversational Interfaces with XCS
  Toney, D., Moore, J., and Lemon, O.
• Dual-structured Classifier System Mediating XCS and Gradient Descent based Update
  Wada, A., Takadama, K., and Shimohara, K.

IWLCS 2006 papers under review

10 April 2006

The 12 papers submitted to IWLCS 2006 are in the process of being reviewed by the IWLCS 2006 program committee. The decisions will be emailed to the authors shortly.

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