Category: Events

IWLCS 2008 call for papers

The Eleventh International Workshop on Learning Classifier Systems (IWLCS 2008) will be held in Atlanta, Georgia, USA, Sunday, July 13, 2008 during the Genetic and Evolutionary Computation Conference (GECCO-2008), July 12-16, 2008.

Originally, Learning Classifier Systems (LCSs) were introduced by John H. Holland as a way of applying evolutionary computation to machine learning and adaptive behavior problems. Sine then, the LCS paradigm has broadened greatly into a framework that encompasses many representations, rule discovery mechanisms, and credit assignment schemes. Current LCS applications range from data mining, to automated innovation and the on-line control of cognitive systems. LCS research includes various actual system approaches: While Wilson’s accuracy-based XCS system (1995) has received the highest attention and gained the highest reputation, studies and developments of other LCSs are usually discussed and contrasted.
Advances in machine learning, and reinforcement learning in particular, as well as in evolutionary computation have brought LCS systems the necessary competence and guaranteed learning properties. Novel insights in machine learning and evolutionary computation are being integrated into the LCS framework.
Thus, we invite submissions that 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 the day before the workshop at GECCO 2008. Tutorial and IWLCS workshop thus also provide an opportunity for researchers interested in LCSs to get an impression of the current research directions in the field as well as a guideline for the application of LCSs to their problem domain.

Submissions and Publication

Submissions will be short-papers up to 8 pages in ACM format. Please see the GECCO 2008 information for authors for further details.
All accepted papers will be presented at IWLCS 2008 and will appear in the GECCO workshop volume. Proceedings of the workshop will be published on CD-ROM, and distributed at the conference. Authors will be invited after the workshop to submit revised (full) papers for publication in the next post-workshop proceedings volume (scheduled for 2009), in the Springer LNCS/LNAI book series.

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

Important dates

  • Paper submission deadline: April 4, 2008
  • Notification to authors: April 11, 2008
  • Submission of camera-ready material: by Friday, April 18, 2008
  • Conference registration by Monday, April 21, 2008
  • Workshop date: Sunday, July 13, 2008

Committees
Organizing Committee

  • Jaume Bacardit, University of Nottingham (UK). E-mail: jaume.bacardit[at]nottingham.ac.uk
  • Ester Bernadó-Mansilla, Universitat Ramon Llull (Spain). E-mail: esterb[at]salle.url.edu
  • Martin V. Butz, Universitat Wurzburg (Germany). E-mail: mbutz[at]psychologie.uni-wuerzburg.de
Advisory Committee

Alwyn Barry changing jobs

This is an excerpt from Alwyn Barry‘s web page (Thanks Pier Luca for pointing it out)

Most people who know me will be aware that I am changing job shortly. I will be leaving the University of Bath from 30th September 2007, and will no longer be an academic. I am moving to Street in Somerset to become the Pastor of Street Baptist Church. I am still happy to answer any questions relating to my previous research, so do feel free to contact me via my new email address, which is linked from this site.

Alwyn, it has been a pleasure to be able to interact with you. I would like to wish you the best in your new endeavor, knowing that you will give your 100% as usual.

International Workshop on Learning Classifier Systems (IWLCS 2007)

The Tenth International Workshop on Learning Classifier Systems (IWLCS 2007)
will be held on July 7th or 8th, 2007 in association with the conference The Genetic and Evolutionary Computation Conference: GECCO 2007 held at the University College London, in London, England.

Post-workshop proceedings will be published in Springer’s Lecture Notes in Computer Science / Artificial Intelligence series (LNCS/LNAI).

The call For Papers is available here.

Submission deadline is March, 16th.

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

Advisory Committee

For more information please check here.

Preliminary IWLCS 2007 CFP

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.

NCSA/IlliGAL Gathering on Evolutionary Learning (NIGEL’2006)

On May 16th and 17th, a group formed by more than twenty researchers got together in Urbana-Champaign (Illlinois) to participate in the gathering on evolutionary learning organized by the National Center for Supercomputer Applications and the Illinois Genetic Algorithms Laboratory (NIGEL 2006). The goals were to discus current state-of-the-art research in learning classifier systems and other genetics-based machine learning, and to identify future research trends and applications where evolutionary learning might provide a competitive advantage. The first day attendees gave presentations about challenges and current research topics (see the materials below). The second day, a series of three topic-oriented brainstorming sessions were conducted covering: (1) future of LCS and other GBML, (2) areas of application, and (3) techniques.

The list of participants included Loretta Auvil, Jaume Bacardit, Alwyn Barry, Lashon Booker, Ester Bernado, Will Browne, Martin Butz, Jorge Casillas, Helen Dam, Dipankar Dasgupta, Deon Garrett, David Goldberg, Noriko Imafuji, Pier Luca Lanzi, Xavier Llora, Kumara Sastry, Kamran Shafi, Kenneth Turvey, Michael Welge, Ashley Williams, Stewart Wilson, and Paul Winward.

Presentations slides and videos of the presentations

Some pictures of the event can be found here or at the NIGEL web site.

Xavier Llorà: “Welcome and presentation”[Slides][Video]
Stewart W. Wilson: “Can We Do Captchas?” [Slides][Video]
David E. Goldberg: “Searle, Intentionality, and the Future of Classifier Systems” [Slides][Video]
Dipankar Dasgupta: “Artificial Immune Systems in Anomaly Detection” [Slides][Video]
Lashon Booker: “A Retrospective Look at Classifier System Research” [Slides][Video]
Martin Butz: “XCS: Current Capabilities and Future Challenges” [Slides][Video]
Alwyn Barry: “Towards a Formal Framework for Accuracy-based LCS” [Slides][Video]
Xavier Llorà: “Linkage Learning for Pittsburgh Learning Classifier Systems: Making Problems Tractable” [Slides][Video]
Jorge Casillas: “Scalability in GBML, Accuracy-Based Michigan Fuzzy LCS, and New Trends” [Slides][Video]
Ester Bernadó: “Learning Classifier Systems for Unbalanced Datasets” [Slides][Video]
Pier-Luca Lanzi: “Computed Prediction: so far, so good. Now what?” [Slides][Video]
Jaume Bacardit: “Pittsburgh Learning Classifier Systems for Protein Structure Prediction: Scalability and Explanatory Power” [Slides][Video]

NCSA/IlliGAL Gathering on Evolutionary Learning (NIGEL’2006)

On May 16th and 17th, a group formed by more than twenty researchers got together in Urbana-Champaign (Illlinois) to participate in the gathering on evolutionary learning organized by the National Center for Supercomputer Applications and the Illinois Genetic Algorithms Laboratory (NIGEL 2006). The goals were to discus current state-of-the-art research in learning classifier systems and other genetics-based machine learning, and to identify future research trends and applications where evolutionary learning might provide a competitive advantage. The first day attendees gave presentations about challenges and current research topics (see the materials below). The second day, a series of three topic-oriented brainstorming sessions were conducted covering: (1) future of LCS and other GBML, (2) areas of application, and (3) techniques.

The list of participants included Loretta Auvil, Jaume Bacardit, Alwyn Barry, Lashon Booker, Ester Bernado, Will Browne, Martin Butz, Jorge Casillas, Helen Dam, Dipankar Dasgupta, Deon Garrett, David Goldberg, Noriko Imafuji, Pier Luca Lanzi, Xavier Llora, Kumara Sastry, Kamran Shafi, Kenneth Turvey, Michael Welge, Ashley Williams, Stewart Wilson, and Paul Winward.

Presentations slides and videos of the presentations

Some pictures of the event can be found here or at the NIGEL web site.

Xavier Llorà: “Welcome and presentation”[Slides]
Stewart W. Wilson: “Can We Do Captchas?” [Slides]
David E. Goldberg: “Searle, Intentionality, and the Future of Classifier Systems” [Slides]
Dipankar Dasgupta: “Artificial Immune Systems in Anomaly Detection” [Slides]
Lashon Booker: “A Retrospective Look at Classifier System Research” [Slides]
Martin Butz: “XCS: Current Capabilities and Future Challenges” [Slides]
Alwyn Barry: “Towards a Formal Framework for Accuracy-based LCS” [Slides]
Xavier Llorà: “Linkage Learning for Pittsburgh Learning Classifier Systems: Making Problems Tractable” [Slides]
Jorge Casillas: “Scalability in GBML, Accuracy-Based Michigan Fuzzy LCS, and New Trends” [Slides]
Ester Bernadó: “Learning Classifier Systems for Unbalanced Datasets” [Slides]
Pier-Luca Lanzi: “Computed Prediction: so far, so good. Now what?” [Slides]
Jaume Bacardit: “Pittsburgh Learning Classifier Systems for Protein Structure Prediction: Scalability and Explanatory Power” [Slides]

Ninth International Workshop on Learning Classifier Systems (IWLCS 2006) – CFP

Seattle, WA, USA, July 8-9, 2006. To be held during the Genetic and Evolutionary Computation Conference (GECCO-2006), July 8-12, 2006.

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 2006.

Submissions

There are two possibilities for paper submissions. Both will be peer reviewed, but reviews of short papers will be mainly to provide feedback to authors – we expect most or all will be accepted.

1) Short papers of up to 4 pages may be submitted. Accepted short papers will be presented at the workshop and published in the GECCO workshop volume. The format of the GECCO workshop volume is to be confirmed but we expect it will be the ACM format used in 2005. After the workshop authors will be invited to submit full papers which are reviewed again for the post-workshop proceedings, which we plan to publish in Springer’s LNAI series as in past years.

2) Full papers of up to 20 pages (in Springer format) may be submitted for peer review before the workshop. Accepted full papers will be presented at the workshop and will be published in the post-workshop proceedings. Authors of full papers have a choice of how to contribute to the GECCO workshop volume: either i) prepare a short version for GECCO or ii) publish only your abstract in the GECCO book. If you prefer i) we would suggest an extended abstract of 1 or 2 pages, but anything up to 50% of the full paper is ok.

Papers should be submitted as PDF files e-mailed to iwlcs@cas.dis.titech.ac.jp.

Important dates

Please note: all dates are to be confirmed.

  • Paper submission deadline: March 24, 2006 (extended)
  • Decisions: April 12, 2006 (extended)
  • GECCO 2006 Workshop proceedings camerar-ready: April 26, 2006 (extended)
  • Workshop: July 8-9, 2006

Camera Ready for GECCO 2006 Workshop Proceedings

The camera-ready papers should be formated following the instructions provided by GECCO. Failing to comply will result in exclusion from the proceedings. The proceedings will only be published on CD-ROM. Camera-ready papers must be submitted using the GECCO-2006 Submission & Review site at https://ssl.linklings.net/conferences/gecco2006/.

Organization

Organizing Commitee

  • Tim Kovacs, University of Bristol (UK)
  • Xavier Llorà, University of Illinois at Urbana-Champaign (USA)
  • Keiki Takadama, Tokyo Institute of Technology (Japan)

Advisory Committee

  • Pier Luca Lanzi, Politechnico de Milano (Italy)
  • Wolfgang Stolzmann, Daimler Chrysler AG (Germany)
  • Stewart Wilson, Prediction Dynamics (USA)

Program Committee

  • Bacardit, Jaume. University of Nottingham (UK)
  • Bagnall, Tony. Univesity of East Anglia (UK)
  • Barry, Alwyn. University of Bath (UK)
  • Bernadó Mansilla, Ester. Universitat Ramon Llull (Spain)
  • Bonarini, Andrea. Politecnico di Milano (Italy)
  • Booker, Lashon. The Mitre Corporation (USA)
  • Browne, Will. University of Reading (UK)
  • Bull, Larry. University of West England (UK)
  • Butz, Martin. Universitat Wurzburg (Germany)
  • Carse, Brian. University of West England (UK)
  • Davis, David. NuTech Solutions (USA)
  • Drugowitsch, Jan. University of Bath (UK)
  • Egginton, RobUniversity of Bristol (UK)
  • Herrera, Francisco. Universidad de Granada (Spain)
  • Holmes, John. University of Pennsylvania (USA)
  • Homaifar, Abdollah. North Carolina A&T State University (USA)
  • Kovacs, Tim. University of Bristol (UK)
  • Lanzi, Pier Luca. Politecnico di Milano (Italy)
  • Llorà, Xavier. University of Illlinois at Urbana-Champaign (USA)
  • Marin-Blazquez, Javier. Universidad de Murcia (Spain)
  • Miramontes-Hercog, Luis. Instituto Tecnológico y de Estudios Superiores de Monterrey (Mexico)
  • Muruzabal, Jorge. Universidad Rey Juan Carlos (Spain)
  • Schulenburg, Sonia. University of Edinburgh (UK)
  • Sigaud, Olivier. Laboratoire d’Informatique de Paris 6 (France)
  • Stolzman, Wolfgang. Daimler Chrysler AG (Germany)
  • Takadama, Keiki. Tokyo Institute of Technology (Japan)
  • Wada, Atsushi. Advanced Telecomunications Research Institute (Japan)
  • Wilson, Stewart. Prediction Dynamics (USA)
  • Zatuchna, Z. V. Univesity of East Anglia (UK)

For further information please contact iwlcs@cas.dis.titech.ac.jp.