Deadline approaching: IWLCS @ GECCO (March 28)

Just a quick reminder that the deadline for the IWLCS will be here in two weeks (March 28).  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.

Last year the IWLCS only got two paper submissions, a record low for the meeting.  It is our hope that we will see many more submissions this year in order to demonstrate interest in this workshop.

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@ecs.vuw.ac.nz
Kamran Shafi, k.shafi@adfa.edu.au
Ryan Urbanowicz, ryan.j.urbanowicz@dartmouth.edu

 

Regards

Ryan Urbanowicz

 

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