The Twelfth International Workshop on Learning Classifier Systems (IWLCS 2009) will be held in Montreal, Canada, Thursday, July 9, 2008 during the Genetic and Evolutionary Computation Conference (GECCO-2009), July 8-12, 2009.
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 2009. 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.
More information can be found in the original call for papers.