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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

Author: Jaume Bacardit
Publisher: Berlin : Springer, 2008.
Series: Lecture notes in computer science, 4998.; Lecture notes in artifical intelligence.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Edition/Format:   Print book : Document : Conference publication   Computer File : EnglishView all editions and formats
Summary:

This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July  Read more...

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Genre/Form: Conference papers and proceedings
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Book, Computer File, Internet Resource
All Authors / Contributors: Jaume Bacardit
ISBN: 9783540881377 3540881379
OCLC Number: 268783984
Notes: International conference proceedings.
" ... the 9th and 10th International Workshops on Learning Classifier Systems (IWLCS 2006 and IWLCS 2007)."--Preface.
Description: x, 305 pages : illustrations ; 24 cm.
Contents: Learning Classifier Systems: Looking Back and Glimpsing Ahead.- Knowledge Representations.- Analysis of Population Evolution in Classifier Systems Using Symbolic Representations.- Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets.- Evolving Fuzzy Rules with UCS: Preliminary Results.- Analysis of the System.- A Principled Foundation for LCS.- Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS.- Mechanisms.- Analysis and Improvements of the Classifier Error Estimate in XCSF.- A Learning Classifier System with Mutual-Information-Based Fitness.- On Lookahead and Latent Learning in Simple LCS.- A Learning Classifier System Approach to Relational Reinforcement Learning.- Linkage Learning, Rule Representation, and the ?-Ary Extended Compact Classifier System.- New Directions.- Classifier Conditions Using Gene Expression Programming.- Evolving Classifiers Ensembles with Heterogeneous Predictors.- Substructural Surrogates for Learning Decomposable Classification Problems.- Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System.- Applications.- Technology Extraction of Expert Operator Skills from Process Time Series Data.- Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks.
Series Title: Lecture notes in computer science, 4998.; Lecture notes in artifical intelligence.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Other Titles: IWLCS 2006
IWLCS 2007
Responsibility: Jaume Bacardit [and others] (eds.).

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