LEADER 04874nam 22006735 450 001 9910143603303321 005 20200703133350.0 010 $a3-540-44640-0 024 7 $a10.1007/3-540-44640-0 035 $a(CKB)1000000000211452 035 $a(SSID)ssj0000320992 035 $a(PQKBManifestationID)11256242 035 $a(PQKBTitleCode)TC0000320992 035 $a(PQKBWorkID)10259802 035 $a(PQKB)11331030 035 $a(DE-He213)978-3-540-44640-8 035 $a(MiAaPQ)EBC3072237 035 $a(PPN)155235788 035 $a(EXLCZ)991000000000211452 100 $a20121227d2001 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Learning Classifier Systems $eThird International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000. Revised Papers /$fedited by Pier L. Lanzi, Wolfgang Stolzmann, Stewart W. Wilson 205 $a1st ed. 2001. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001. 215 $a1 online resource (VIII, 280 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1996 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-42437-7 320 $aIncludes bibliographical references and index. 327 $aTheory -- An Artificial Economy of Post Production Systems -- Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness -- Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks -- Probability-Enhanced Predictions in the Anticipatory Classifier System -- YACS: Combining Dynamic Programming with Generalization in Classifier Systems -- A Self-Adaptive Classifier System -- What Makes a Problem Hard for XCS? -- Applications -- Applying a Learning Classifier System to Mining Explanatory and Predictive Models from a Large Clinical Database -- Strength and Money: An LCS Approach to Increasing Returns -- Using Classifier Systems as Adaptive Expert Systems for Control -- Mining Oblique Data with XCS -- Advanced Architectures -- A Study on the Evolution of Learning Classifier Systems -- Learning Classifier Systems Meet Multiagent Environments -- The Bibliography -- A Bigger Learning Classifier Systems Bibliography -- An Algorithmic Description of XCS. 330 $aLearning classi er systems are rule-based systems that exploit evolutionary c- putation and reinforcement learning to solve di cult problems. They were - troduced in 1978 by John H. Holland, the father of genetic algorithms, and since then they have been applied to domains as diverse as autonomous robotics, trading agents, and data mining. At the Second International Workshop on Learning Classi er Systems (IWLCS 99), held July 13, 1999, in Orlando, Florida, active researchers reported on the then current state of learning classi er system research and highlighted some of the most promising research directions. The most interesting contri- tions to the meeting are included in the book Learning Classi er Systems: From Foundations to Applications, published as LNAI 1813 by Springer-Verlag. The following year, the Third International Workshop on Learning Classi er Systems (IWLCS 2000), held September 15{16 in Paris, gave participants the opportunity to discuss further advances in learning classi er systems. We have included in this volume revised and extended versions of thirteen of the papers presented at the workshop. 410 0$aLecture Notes in Artificial Intelligence ;$v1996 606 $aArtificial intelligence 606 $aComputers 606 $aMathematical logic 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aMathematical logic. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aMathematical Logic and Formal Languages. 615 24$aComputation by Abstract Devices. 676 $a006.3/1 702 $aLanzi$b Pier L$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStolzmann$b Wolfgang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWilson$b Stewart W$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aIWLCS 2000 906 $aBOOK 912 $a9910143603303321 996 $aAdvances in Learning Classifier Systems$9772176 997 $aUNINA