Books
Jan Drugowitsch. Design and Analysis of Learning Classifier Systems: A Probabilistic Approach. Springer, 2008
Journal Articles
Jan Drugowitsch and Alwyn M. Barry. A Formal Framework and Extensions for Function Approximation in Learning Classifier Systems. Machine Learning, 70(1), pp. 45-88, 2008. [pdf]
Book Chapters
Jan Drugowitsch and Alwyn M. Barry. A Principled Foundation for LCS. In Present and Future of Learning Classifier Systems. Revised Selected Papers of the 9th and 10th editions of the International Workshop on Learning Classifier Systems, LNCS 4998, Springer, 2008. [preprint]
Daniele Loiacono, Jan Drugowitsch, Alwyn M. Barry, and Pier Luca Lanzi. Analysis and Improvement of the Classifier Error Estimate in XCSF. In Present and Future of Learning Classifier Systems. Revised Selected Papers of the 9th and 10th editions of the International Workshop on Learning Classifier Systems, LNCS 4998, Springer, 2008. [preprint]
Refereed Conference/Workshop Papers
Jan Drugowitsch and Alywn M. Barry. Mixing Independent Classifiers. In Proceedings of the 9th annual conference on Genetic and evolutionary computation, ACM Press, pp. 1596-1603, 2007 - Nominated for Best Paper Award [pdf] [slides] [poster]
Jan Drugowitsch and Alwyn M. Barry. A Principled Foundation for LCS. In Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation, ACM Press, pp. 2675-2680, 2007. [pdf] [slides]
Jan Drugowitsch and Alwyn M. Barry. Towards Convergence of Learning Classifier Systems Value Iteration. Evolutionary Computation Workshop at the European Conference of Artificial Intelligence (ECAI), 2006. [pdf] [slides]
Daniele Loiacono, Jan Drugowitsch, Alwyn M. Barry, and Pier Luca Lanzi. Improving Classifier Error Estimate in XCSF. In The Ninth International Workshop on Learning Classifier Systems, IWLCS-2006, 2006. [pdf]
Jan Drugowitsch and Alwyn M. Barry. XCS with Eligibility Traces. In Proceedings of the 2005 conference on Genetic and evolutionary computation, ACM Press, pp. 1851 - 1858, 2005. [pdf] [slides]
Joanna J. Bryson, Tristan J. Caulfield, and Jan Drugowitsch. Integrating Life-Like Action Selection into Cycle-Based Agent Simulation Environments. In Proceedings of Agent 2005: Generative Social Processes, Models, and Mechanisms. Michael North, David L. Sallach and Charles Macal eds., Argonne National Laboratory. pp. 67-82, 2005. [pdf]
Poster Presentations
Jan Drugowitsch, Ruben Moreno Bote, and Alexandre Pouget. Computing the cost function in decision making. In Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience. Presented at Computational and Systems Neuroscience (2009), Salt Lake City, UT. February 26 2009.
Technical Reports
Jan Drugowitsch. Learning Classifier Systems from First Principles. PhD Dissertation. Technical Report CSBU-2007-12, Department of Computer Science, University of Bath, October 2007.
Jan Drugowitsch and Alwyn M. Barry. Generalised Mixtures of Experts, Independent Expert Training, and Learning Classifier Systems. Technical Report CSBU-2007-02, Department of Computer Science, University of Bath, April 2007.
Jan Drugowitsch and Alwyn M. Barry. Mixing Independent Classifiers. Technical Report CSBU-2006-13, Department of Computer Science, University of Bath, November 2006.
Jan Drugowitsch and Alwyn M. Barry. Towards Convergence of Learning Classifier Systems Value Iteration. Technical Report CSBU-2006-03, Department of Computer Science, University of Bath, April 2006.
Jan Drugowitsch and Alwyn M. Barry. A Formal Framework for Reinforcement Learning with Function Approximation in Learning Classifier Systems. Technical Report CSBU-2006-02, Department of Computer Science, University of Bath, January 2006.
Jan Drugowitsch and Alwyn M. Barry. A Formal Framework and Extensions for Function Approximation in Learning Classifier Systems. Technical Report CSBU-2006-01, Department of Computer Science, University of Bath, January 2006.
Jan Drugowitsch, Alwyn M. Barry. XCS with Eligibility Traces. Technical Report CSBU-2005-01, Department of Computer Science, University of Bath, January 2005.
Talks and Presentations
Mixing Independent Classifiers. Genetic and Evolutionary Computation Conference (GECCO) 2007, London, UK. July 9, 2007.
A Principled Foundation for LCS. International Workshop on Learning Classifier Systems (IWLCS) 2007, London, UK. July 8, 2007.
Putting Machine Learning into Genetic-based Machine Learning ... and vice-versa. Finalist Presentation for the Ede And Ravenscroft Prize 2007, University of Bath, UK. May 25, 2007.
Reinforcement Learning with Independently Trained Local Models: Mixing Models with Confidence. Knowledge Representation and Reasoning Seminar III, University of Bath, UK. Nov 28, 2006.
Towards Convergence of Learning Classifier Systems Value Iteration. Evolutionary Computation Workshop at the European Conference on Artificial Intelligence (ECAI), 2006, Riva del Garda, Italy. Aug 28, 2006.
A Generalised View on LCS. Seminar at the Learning Classifier Systems Group, University of the West of England, Bristol, UK. June 30, 2006.
Learning Classifier Systems as an Evolutionary Computation Approach to Simulation-Based Dynamic Programming. Seminar for the Bath Institute of Complex Systems (BICS), University of Bath, UK. April 24, 2006.
A Constructive Approach to Modelling Learning Classifier Systems. Knowledge Representation and Reasoning Seminar II, University of Bath, UK. Dec 6, 2005.
XCS with Eligibility Traces. Genetic and Evolutionary Computation Conference (GECCO) 2005, Washington D.C., USA. Jun 28, 2005.
Reinforcement Learning and the eXtended Classifier System (XCS). Followed by XCS with Eligibility Traces. BAI Seminar, University of Bath, UK. Jun 7, 2005.
Learning Classifier Systems and Reinforcement Learning in Multi-Step Environments. Seminar at the Learning Classifier Systems Group, University of the West of England, Bristol, UK. Feb 25, 2005.
Learning Classifier Systems as Function Approximators for Reinforcement Learning. Knowledge Representation and Reasoning Seminar I, University of Bath, UK. Feb 2, 2005.