Learning Classifier Systems
From Foundations to Applications, Lecture Notes in Computer Science 1813 - Lecture Notes in Artificial Intelligence
Pier L Lanzi/Wolfgang Stolzmann/Stewart W Wilson
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Zusatztext
InhaltsangabeBasics.- What Is a Learning Classifier System?.- A Roadmap to the Last Decade of Learning Classifier System Research (From 1989 to 1999).- State of XCS Classifier System Research.- An Introduction to Learning Fuzzy Classifier Systems.- Advanced Topics.- Fuzzy and Crisp Representations of Real-Valued Input for Learning Classifier Systems.- Do We Really Need to Estimate Rule Utilities in Classifier Systems?.- Strength or Accuracy? Fitness Calculation in Learning Classifier Systems.- Non-homogeneous Classifier Systems in a Macro-evolution Process.- An Introduction to Anticipatory Classifier Systems.- A Corporate XCS.- Get Real! XCS with Continuous-Valued Inputs.- Applications.- XCS and the Monk's Problems.- Learning Classifier Systems Applied to Knowledge Discovery in Clinical Research Databases.- An Adaptive Agent Based Economic Model.- The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques.- Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems.- The Bibliography.- A Learning Classifier Systems Bibliography.
Weitere Details
Erschienen: 21.06.2000
Umfang: x, 354 S.
Sprache: ENG
Einband: KT
Format: 1.9 x 23.7 x 15.5 cm
ISBN/EAN: 9783540677291
Umbreit-Nr.: 834987
