Call for Papers
The Seventeenth International Workshop on Learning Classifier Systems (IWLCS 2014) will be held in Vancouver, BC, Canada during the Genetic and Evolutionary Computation Conference (GECCO-2014), July 12-16, 2014.
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. Since 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. The workshop also provides 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.
Topics of interests include but are not limited to:
- Paradigms of LCS (Michigan, Pittsburgh, ...)
- Theoretical developments (behavior, scalability and learning bounds, ...)
- Representations (binary, real-valued, oblique, non-linear, fuzzy, ...)
- Types of target problems (single-step, multiple-step, regression/function approximation,...)
- System enhancements (competent operators, problem structure identification and linkage learning, ...)
- LCS for Cognitive Control (architectures, emergent behaviours, ...)
- Applications (data mining, medical domains, bioinformatics, ...)
- Optimizations and parallel implementations (GPU, matching algorithms, ...)
Submission and Publication
Submissions will be short-papers up to 8 pages in ACM format. Please see the GECCO 2014 information for authors for further details. However, unlike GECCO, papers do not have to be submitted in anonymous format.
All accepted papers will be presented at IWLCS 2014 and will appear in the GECCO workshop volume, which will be published by ACM (Association for Computing Machinery). Authors will be invited after the workshop to submit revised (full) papers that, after a thorough review process, are to be published in a special issue of the Evolutionary Intelligence journal.
All papers should be submitted in PDF format and e-mailed to: iwlcssubmissions@gmail.com
Important dates
- March 28, 2014 - Paper submission deadline
- April 15, 2014 - Notification to authors
- April 29, 2014 - Submission of camera-ready material
- July 12-16, 2014 - GECCO 2014 Conference in Vancouver, BC, Canada
Organizing Committee
- Muhammad Iqbal, Victoria University of Wellington, New Zealand.
(muhammad.iqbal@ecs.vuw.ac.nz) - Kamran Shafi, University of New South Wales, Australia.
(k.shafi@adfa.edu.au) - Ryan Urbanowicz, Dartmouth College, USA.
(ryan.j.urbanowicz@dartmouth.edu)
Advisory Committee
- Jaume Bacardit, University of Nottingham (UK)
- Ester Bernadó-Mansilla, Universitat Ramon Llull (Spain)
- Will Browne, Victoria University of Wellington (NZ)
- Martin V. Butz, Universitat Wurzburg (Germany)
- Jan Drugowitsch, University of Rochester (USA)
- Tim Kovacs, University of Bristol (UK)
- Pier Luca Lanzi, Politecnico di Milano (Italy)
- Xavier Llorą, University of Illinois at Urbana-Champaign (USA)
- Wolfgang Stolzmann, Daimler Chrysler AG (Germany)
- Keiki Takadama, Tokyo Institute of Technology (Japan)
- Stewart Wilson, Prediction Dynamics (USA)