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ORCIDIWLCS 2006 - 2007
- Jaume Bacardit
, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama:
Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4998, Springer 2008, ISBN 978-3-540-88137-7
Introduction
- Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz:
Learning Classifier Systems: Looking Back and Glimpsing Ahead. 1-21
Knowledge Representations
- Pier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari:
Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. 22-45 - Charalambos Ioannides, Will N. Browne:
Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets. 46-56 - Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Evolving Fuzzy Rules with UCS: Preliminary Results. 57-76
Analysis of the System
- Jan Drugowitsch, Alwyn Barry:
A Principled Foundation for LCS. 77-95 - Albert Orriols-Puig, Ester Bernadó-Mansilla:
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS. 96-116
Mechanisms
- Daniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi:
Analysis and Improvements of the Classifier Error Estimate in XCSF. 117-135 - Robert Elliott Smith, Max Kun Jiang:
A Learning Classifier System with Mutual-Information-Based Fitness. 136-153 - Larry Bull:
On Lookahead and Latent Learning in Simple LCS. 154-168 - Drew Mellor:
A Learning Classifier System Approach to Relational Reinforcement Learning. 169-188 - Xavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg:
Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System. 189-205
New Directions
- Stewart W. Wilson:
Classifier Conditions Using Gene Expression Programming. 206-217 - Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini:
Evolving Classifiers Ensembles with Heterogeneous Predictors. 218-234 - Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla:
Substructural Surrogates for Learning Decomposable Classification Problems. 235-254 - Jaume Bacardit, Natalio Krasnogor:
Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System. 255-268
Applications
- Setsuya Kurahashi, Takao Terano:
Technology Extraction of Expert Operator Skills from Process Time Series Data. 269-285 - Renan Cipriano Moioli, Patrícia Amâncio Vargas, Fernando J. Von Zuben:
Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks. 286-305
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