Learning classifier systems : from foundations to applications

Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book p...

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Detaylı Bibliyografya
Yazar: Lanzi, Pier Luca, 1967-
Diğer Yazarlar: Stolzmann, Wolfgang, 1966- (Yayın yönetmeni), Wilson, Stewart W., 1937- (Yayın yönetmeni)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Seri Bilgileri:Lecture notes in computer science. Lecture notes in artificial intelligence 1813
Konular:
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Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Learning classifier systems, from foundations to applications, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, eds, 2000, New York, Springer, 1 vol. (X-347 p.), Lecture notes in computer science, 3-540-67729-1
• Learning Classifier Systems, Texte imprimé, 9783662172186
İçindekiler:
  • Basics
  • 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.