Category: Conferences

14TH INTERNATIONAL WORKSHOP ON LEARNING CLASSIFIER SYSTEMS
to be held as part of the

2011 Genetic and Evolutionary Computation Conference (GECCO-2011)
July 12-16, Dublin, Ireland

Organized by ACM SIGEVO
20th International Conference on Genetic Algorithms (ICGA) and the 16th
Annual Genetic Programming Conference (GP)

One Conference – Many Mini-Conferences 15 Program Tracks

PAPER SUBMISSION DEADLINE FOR WORKSHOP: April 7th, 2011

http://home.dei.polimi.it/loiacono/iwlcs2011

The Fourteenth International Workshop on Learning Classifier Systems  (IWLCS 2011) will be held in Dublin, Ireland during the Genetic and  Evolutionary Computation Conference (GECCO-2011), July 7-11, 2010.

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. Moreover, a free introductory tutorial on LCSs is presented the  day before the workshop at GECCO 2010. 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.

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, …)

Submissions and Publication

Submissions will be short-papers up to 8 pages in ACM format. Please see  the GECCO-2011 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 2011 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 that, after a thorough review  process, are to be published in the next post-workshop proceedings  volume (scheduled for 2013), in the Springer LNCS/LNAI book series.

All papers should be submitted in PDF format and e-mailed to: loiacono@elet.polimi.it

Important dates

• Paper submission deadline: April 7, 2011
• Notification to authors: April 14, 2011
• Submission of camera-ready material: April 26, 2011
• Conference registration: May 2, 2011
• GECCO-2011: July 12-16, 2011

Committees

Organizing Committee

• Daniele Loiacono, Politecnico di Milano, Italy  (email: loiacono@elet.polimi.it)
• Albert Orriols-Puig, La Salle – Ramon Llull University, Spain  (email: aorriols@gmail.com)
• Ryan Urbanowicz, Dartmouth College, USA  (email: 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 Llora, 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)

Further information

For more details, please visit the workshop website at: http://home.dei.polimi.it/loiacono/iwlcs2011

GECCO is sponsored by the Association for Computing Machinery Special Interest Group on Genetic and Evolutionary Computation (SIGEVO). SIG Services: 2 Penn Plaza, Suite 701, New York, NY, 10121, USA, 1-800-342-6626 (USA and Canada) or +212-626-0500 (Global).

GECCO, one of the most relevant conferences on evolutionary computation, starts its 10th edition today in Montréal (Canada). The organization committee has prepared a lot of surprises within a tight agenda. From July 8 to July 12, full days of tutorials, workshops, poster sessions, talks, competitions, awards, the birthday, and the star talk by John H. Holland will be a promising immersion into the emergent world of evolutionary computation. I hope all of them give rise to the “Chronicles of GECCO”.

For further information, please see the program.

GECCO, one of the most relevant conferences on evolutionary computation, starts its 10th edition today in Montréal (Canada). The organization committee has prepared a lot of surprises within a tight agenda. From July 8 to July 12, full days of tutorials, workshops, poster sessions, talks, competitions, awards, the birthday, and the star talk by John H. Holland will be a promising immersion into the emergent world of evolutionary computation. I hope all of them give rise to the “Chronicles of GECCO”.

For further information, please see the program.

The special session Knowledge extraction based on evolutionary learning, organized by Salvador García, Albert Orriols, and José Otero, was one of the opening sessions of the 4th international conference on hybrid artificial intelligent systems (HAIS 2009).

Its program, full of interesting talks that discussed the new trends for knowledge extraction processes by means of evolutionary algorithms, included two contributions from the GRSI entitled: Multiobjective evolutionary clustering approach to security vulnerability assessments and Beyond homemade artificial data sets, presented by Guiomar Corral and Albert Orriols respectively.

Guiomar Corral introduced an evolutionary multiobjective approach to cluster the devices of a network with similar vulnerabilities. This technique provides analysts with a map which is helpful to detect malicious attacks or unauthorized changes in the network.

Albert Orriols, in turn, addressed a hot topic in machine learning: the artificial data sets generation. He explained the importance to work under a controlled experimental framework and pointed some ideas to build it.

Salamanca will be for one more day a forum to exchange new ideas and present recent developments in the field of artificial intelligence.

The special session Knowledge extraction based on evolutionary learning, organized by Salvador García, Albert Orriols, and José Otero, was one of the opening sessions of the 4th international conference on hybrid artificial intelligent systems (HAIS 2009).

Its program, full of interesting talks that discussed the new trends for knowledge extraction processes by means of evolutionary algorithms, included two contributions from the GRSI entitled: Multiobjective evolutionary clustering approach to security vulnerability assessments and Beyond homemade artificial data sets, presented by Guiomar Corral and Albert Orriols respectively.

Guiomar Corral introduced an evolutionary multiobjective approach to cluster the devices of a network with similar vulnerabilities. This technique provides analysts with a map which is helpful to detect malicious attacks or unauthorized changes in the network.

Albert Orriols, in turn, addressed a hot topic in machine learning: the artificial data sets generation. He explained the importance to work under a controlled experimental framework and pointed some ideas to build it.

Salamanca will be for one more day a forum to exchange new ideas and present recent developments in the field of artificial intelligence.