CFP: Springer EI - Special Issue on Advances in Learning Classifier Systems

3 views
Skip to first unread message

Daniele Loiacono

unread,
Oct 30, 2011, 1:10:58 PM10/30/11
to

Our apologies if you receive multiple copies of this announcement.

=====================================================================

Special Issue on Advances in Learning Classifier Systems

Evolutionary Intelligence, Springer (http://www.springer.com/12065)

Guest Editors: Daniele Loiacono, Albert Orriols-Puig, Ryan Urbanowicz

=====================================================================
Learning Classifier Systems are a genetic-based machine learning 
paradigm introduced by Holland in 1976. They are rule-based systems 
which allow different representations, rule discovery mechanisms, and 
credit assignment schemes. Current applications of Learning 
Classifier Systems range from data mining to on-line cognitive 
control.

Learning Classifier Systems are a very active research field with a 
dedicated workshop (the International Workshop on Learning Classifier 
Systems - IWLCS) organized every year since 1999.
Recently, parallelization and application of LCSs to data mining 
problems are receiving a great deal of attention. In addition, the 
field also benefits from advances in reinforcement learning, adaptive 
filtering, and machine learning that are continuously exploited to 
improve and extend LCSs.

The aim of this special issue is to bring together recent advances as 
well as the most promising applications of Learning Classifier 
Systems.
To this purpose, we encourage the submission of extended versions of 
IWLCS 2010-2011 contributions, as well as the submission of novel 
contributions ranging from cutting edge research to future outlooks.

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, ...)


*Submission Format*

Manuscripts should be prepared according to the instructions 
available at http://www.springer.com/12065 (under "Information for 
Authors" section) and submission should be done on-line at 


*Important dates*

Paper submission deadline: December 20, 2011
Notification to authors: February 20, 2012
Camera-Ready submission: March 20, 2012


*Contact*

If you encounter any problems during submission or if you require 
further information, do not hesitate to send an email to the guest 

Reply all
Reply to author
Forward
0 new messages