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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bacardit, Jaume (Επιμελητής έκδοσης), Bernadó-Mansilla, Ester (Επιμελητής έκδοσης), Butz, Martin V. (Επιμελητής έκδοσης), Kovacs, Tim (Επιμελητής έκδοσης), Llorà, Xavier (Επιμελητής έκδοσης), Takadama, Keiki (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
• Σειρά: Lecture Notes in Computer Science, 4998
• Θέματα: Computer science.; Computer programming.; Programming languages (Electronic computers).; Mathematical logic.; Computers.; Data mining.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Programming Languages, Compilers, Interpreters.; Mathematical Logic and Formal Languages.; Data Mining and Knowledge Discovery.; Models and Principles.

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 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Confere...

Πίνακας περιεχομένων:

• 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.