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Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà and Keiki Takadama
Front matter
1-21
Learning Classifier Systems: Looking Back and Glimpsing Ahead
22-45
Analysis of Population Evolution in Classifier Systems Using Symbolic Representations
46-56
Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets
57-76
Evolving Fuzzy Rules with UCS: Preliminary Results
77-95
A Principled Foundation for LCS
96-116
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS
117-135
Analysis and Improvements of the Classifier Error Estimate in XCSF
136-153
A Learning Classifier System with Mutual-Information-Based Fitness
154-168
On Lookahead and Latent Learning in Simple LCS
169-188
A Learning Classifier System Approach to Relational Reinforcement Learning
189-205
Linkage Learning, Rule Representation, and the χ -Ary Extended Compact Classifier System
206-217
Classifier Conditions Using Gene Expression Programming Invited paper
218-234
Evolving Classifiers Ensembles with Heterogeneous Predictors
235-254
Substructural Surrogates for Learning Decomposable Classification Problems
255-268
Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System
269-285
Technology Extraction of Expert Operator Skills from Process Time Series Data
286-305
Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks
Back matter
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