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Learning Classifier Systems

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Cover of 'Learning Classifier Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Learning Classifier Systems: Looking Back and Glimpsing Ahead
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    Chapter 2 Analysis of Population Evolution in Classifier Systems Using Symbolic Representations
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    Chapter 3 Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets
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    Chapter 4 Evolving Fuzzy Rules with UCS: Preliminary Results
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    Chapter 5 A Principled Foundation for LCS
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    Chapter 6 Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS
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    Chapter 7 Analysis and Improvements of the Classifier Error Estimate in XCSF
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    Chapter 8 A Learning Classifier System with Mutual-Information-Based Fitness
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    Chapter 9 On Lookahead and Latent Learning in Simple LCS
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    Chapter 10 A Learning Classifier System Approach to Relational Reinforcement Learning
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    Chapter 11 Linkage Learning, Rule Representation, and the χ -Ary Extended Compact Classifier System
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    Chapter 12 Classifier Conditions Using Gene Expression Programming
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    Chapter 13 Evolving Classifiers Ensembles with Heterogeneous Predictors
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    Chapter 14 Substructural Surrogates for Learning Decomposable Classification Problems
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    Chapter 15 Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System
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    Chapter 16 Technology Extraction of Expert Operator Skills from Process Time Series Data
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    Chapter 17 Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks
Attention for Chapter 10: A Learning Classifier System Approach to Relational Reinforcement Learning
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Chapter title
A Learning Classifier System Approach to Relational Reinforcement Learning
Chapter number 10
Book title
Learning Classifier Systems
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-88138-4_10
Book ISBNs
978-3-54-088137-7, 978-3-54-088138-4
Authors

Drew Mellor

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 22%
Denmark 1 11%
Unknown 6 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Professor > Associate Professor 2 22%
Researcher 1 11%
Student > Postgraduate 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 7 78%
Unknown 2 22%