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- catalog abstract "Learning classi er systems are rule-based systems that exploit evolutionary c- putation and reinforcement learning to solve di cult problems. They were - troduced in 1978 by John H. Holland, the father of genetic algorithms, and since then they have been applied to domains as diverse as autonomous robotics, trading agents, and data mining. At the Second International Workshop on Learning Classi er Systems (IWLCS 99), held July 13, 1999, in Orlando, Florida, active researchers reported on the then current state of learning classi er system research and highlighted some of the most promising research directions. The most interesting contri- tions to the meeting are included in the book Learning Classi er Systems: From Foundations to Applications, published as LNAI 1813 by Springer-Verlag. The following year, the Third International Workshop on Learning Classi er Systems (IWLCS 2000), held September 15{16 in Paris, gave participants the opportunity to discuss further advances in learning classi er systems. We have included in this volume revised and extended versions of thirteen of the papers presented at the workshop.".
- catalog contributor b12351884.
- catalog contributor b12351885.
- catalog contributor b12351886.
- catalog contributor b12351887.
- catalog created "c2001.".
- catalog date "2001".
- catalog date "c2001.".
- catalog dateCopyrighted "c2001.".
- catalog description "An Artificial Economy of Post Production Systems / Eric B. Baum and Igor Durdanovic -- Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness / Larry Bull -- Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks / Larry Bull -- Probability-Enhanced Predictions in the Anticipatory Classifier System / Martin V. Butz, David E. Goldbery and Wolfgang Stolzmann -- YACS: Combining Dynamic Programming with Generalization in Classifier Systems / Pierre Gerard and Olivier Sigaud -- A Self-Adaptive Classifier Systems / Jacob Hurst and Larry Bull -- What Makes a Problem Hard for XCS? / Tim Kovacs and Manfred Kerber.".
- catalog description "Includes bibliographical references and index.".
- catalog description "Learning classi er systems are rule-based systems that exploit evolutionary c- putation and reinforcement learning to solve di cult problems. They were - troduced in 1978 by John H. Holland, the father of genetic algorithms, and since then they have been applied to domains as diverse as autonomous robotics, trading agents, and data mining. At the Second International Workshop on Learning Classi er Systems (IWLCS 99), held July 13, 1999, in Orlando, Florida, active researchers reported on the then current state of learning classi er system research and highlighted some of the most promising research directions. The most interesting contri- tions to the meeting are included in the book Learning Classi er Systems: From Foundations to Applications, published as LNAI 1813 by Springer-Verlag. The following year, the Third International Workshop on Learning Classi er Systems (IWLCS 2000), held September 15{16 in Paris, gave participants the opportunity to discuss further advances in learning classi er systems. We have included in this volume revised and extended versions of thirteen of the papers presented at the workshop.".
- catalog extent "viii, 272 p. :".
- catalog identifier "3540424377 (pbk. : acid-free paper)".
- catalog isPartOf "Lecture notes in computer science ; 1996. Lecture notes in artificial intelligence".
- catalog isPartOf "Lecture notes in computer science ; 1996.".
- catalog isPartOf "Lecture notes in computer science. Lecture notes in artificial intelligence.".
- catalog issued "2001".
- catalog issued "c2001.".
- catalog language "eng".
- catalog publisher "Berlin ; New York : Springer,".
- catalog subject "006.3/1 21".
- catalog subject "Artificial intelligence.".
- catalog subject "Computer science.".
- catalog subject "Machine learning Congresses.".
- catalog subject "Q325.5 .I87 2000".
- catalog tableOfContents "An Artificial Economy of Post Production Systems / Eric B. Baum and Igor Durdanovic -- Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness / Larry Bull -- Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks / Larry Bull -- Probability-Enhanced Predictions in the Anticipatory Classifier System / Martin V. Butz, David E. Goldbery and Wolfgang Stolzmann -- YACS: Combining Dynamic Programming with Generalization in Classifier Systems / Pierre Gerard and Olivier Sigaud -- A Self-Adaptive Classifier Systems / Jacob Hurst and Larry Bull -- What Makes a Problem Hard for XCS? / Tim Kovacs and Manfred Kerber.".
- catalog title "Advances in learning classifier systems : third international workshop, IWLCS 2000, Paris, France, September 15-16, 2000 : revised papers / Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (eds.).".
- catalog type "Conference proceedings. fast".
- catalog type "text".