Connectionists: Reminder: International Workshop on Learning Classifier Systems @ GECCO

[Muhammad.Iqbal at ecs.vuw.ac.nz]

Just a soft final reminder that the deadline for the IWLCS @ GECCO'13 is
March 28. A short extension may be considered by the committee if you are
finalizing your papers but need more time to wrap up.

IWLCS is a great place to present your quality projects and ongoing work
related to LCS research.  This year it is particularly important for you
to make a contribution to this workshop which serves as a valuable and
central exchange of knowledge and ideas for those interested in the study
of these unique algorithms, as well as for those interested in learning
more about them.

Submission instructions are on the IWLCS 2013 website under the CFP tab.

http://homepages.ecs.vuw.ac.nz/~iqbal/iwlcs2013/index.html


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**                            CALL FOR PAPERS                      **
** Sixteenth International Workshop on Learning Classifier Systems **
**                 July 06-10, 2013, Amsterdam, The Netherlands    **
**                       Organized by ACM SIGEVO                   **
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The Sixteenth International Workshop on Learning Classifier Systems (IWLCS
2013) will be held in Amsterdam, The Netherlands during the Genetic and
Evolutionary Computation Conference (GECCO-2013), July 06-10, 2013.

Originally, Learning Classifier Systems (LCSs) were introduced by John H.
Holland as a way of applying evolutionary computation to machine learning
and adaptive behaviour 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 (behaviour, 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 ...)


All accepted papers will be presented at IWLCS 2013 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.


Important dates

    March 28, 2013   - Paper submission deadline
    April 15, 2013   - Notification to authors
    April 25, 2013   - Submission of camera-ready material
    July 06-10, 2013 - GECCO 2013 Conference in Amsterdam, The Netherlands


Organizing Committee

    Muhammad Iqbal, muhammad.iqbal at ecs.vuw.ac.nz
    Kamran Shafi, k.shafi at adfa.edu.au
    Ryan Urbanowicz, ryan.j.urbanowicz at dartmouth.edu


Regards
Muhammad Iqbal