LEADER 04999nam 22007335 450 001 996465814503316 005 20200706104252.0 010 $a3-540-40029-X 024 7 $a10.1007/b94229 035 $a(CKB)1000000000212254 035 $a(SSID)ssj0000324346 035 $a(PQKBManifestationID)11254255 035 $a(PQKBTitleCode)TC0000324346 035 $a(PQKBWorkID)10312730 035 $a(PQKB)10654293 035 $a(DE-He213)978-3-540-40029-5 035 $a(MiAaPQ)EBC3088199 035 $a(PPN)155229737 035 $a(EXLCZ)991000000000212254 100 $a20121227d2003 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aLearning Classifier Systems$b[electronic resource] $e5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers /$fedited by Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson 205 $a1st ed. 2003. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003. 215 $a1 online resource (VII, 233 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2661 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-20544-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aBalancing Specificity and Generality in a Panmictic-Based Rule-Discovery Learning Classifier System -- A Ruleset Reduction Algorithm for the XCS Learning Classifier System -- Adapted Pittsburgh-Style Classifier-System: Case-Study -- The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance -- XCS?s Strength-Based Twin: Part I -- XCS?s Strength-Based Twin: Part II -- Further Comparison between ATNoSFERES and XCSM -- Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection -- Anticipatory Classifier System Using Behavioral Sequences in Non-Markov Environments -- Mapping Artificial Immune Systems into Learning Classifier Systems -- The 2003 Learning Classifier Systems Bibliography. 330 $aThe 5th International Workshop on Learning Classi?er Systems (IWLCS2002) was held September 7?8, 2002, in Granada, Spain, during the 7th International Conference on Parallel Problem Solving from Nature (PPSN VII). We have included in this volume revised and extended versions of the papers presented at the workshop. In the ?rst paper, Browne introduces a new model of learning classi?er system, iLCS, and tests it on the Wisconsin Breast Cancer classi?cation problem. Dixon et al. present an algorithm for reducing the solutions evolved by the classi?er system XCS, so as to produce a small set of readily understandable rules. Enee and Barbaroux take a close look at Pittsburgh-style classi?er systems, focusing on the multi-agent problem known as El-farol. Holmes and Bilker investigate the effect that various types of missing data have on the classi?cation performance of learning classi?er systems. The two papers by Kovacs deal with an important theoretical issue in learning classi?er systems: the use of accuracy-based ?tness as opposed to the more traditional strength-based ?tness. In the ?rst paper, Kovacs introduces a strength-based version of XCS, called SB-XCS. The original XCS and the new SB-XCS are compared in the second paper, where - vacs discusses the different classes of solutions that XCS and SB-XCS tend to evolve. 410 0$aLecture Notes in Artificial Intelligence ;$v2661 606 $aArtificial intelligence 606 $aComputers 606 $aMathematical logic 606 $aDatabase management 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aMathematical logic. 615 0$aDatabase management. 615 14$aArtificial Intelligence. 615 24$aComputation by Abstract Devices. 615 24$aMathematical Logic and Formal Languages. 615 24$aDatabase Management. 676 $a006.31 702 $aLanzi$b Pier Luca$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 2002 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465814503316 996 $aLearning Classifier Systems$9772568 997 $aUNISA