{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:38:13Z","timestamp":1750307893378,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":59,"publisher":"ACM","license":[{"start":{"date-parts":[[2008,7,12]],"date-time":"2008-07-12T00:00:00Z","timestamp":1215820800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2008,7,12]]},"DOI":"10.1145\/1388969.1389059","type":"proceedings-article","created":{"date-parts":[[2008,7,22]],"date-time":"2008-07-22T13:46:39Z","timestamp":1216734399000},"page":"2367-2388","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Learning classifier systems"],"prefix":"10.1145","author":[{"given":"Martin V.","family":"Butz","sequence":"first","affiliation":[{"name":"University of W\u00fcrzburg, W\u00fcrzburg, Germany"}]}],"member":"320","published-online":{"date-parts":[[2008,7,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Pittsburgh Genetic-Based Machine Learning in the Dame Mining Era: Representations, Generalization, and Run Time. Computer Engineering Department","author":"Bacardit J.","year":"2004","unstructured":"Bacardit , J. ( 2004 ). Pittsburgh Genetic-Based Machine Learning in the Dame Mining Era: Representations, Generalization, and Run Time. Computer Engineering Department , University of Ramon Llull , Barcelona, Spain .]] Bacardit, J. (2004). Pittsburgh Genetic-Based Machine Learning in the Dame Mining Era: Representations, Generalization, and Run Time. Computer Engineering Department, University of Ramon Llull, Barcelona, Spain.]]"},{"key":"e_1_3_2_1_2_1","volume-title":"The Learning Classifier Systems Web","author":"Barry A.","year":"2007","unstructured":"Barry , A. ( 2007 ). The Learning Classifier Systems Web . University of Bath. http :\/\/lcsweb.cs.bath.ac.uk\/.]] Barry, A. (2007). The Learning Classifier Systems Web. University of Bath. http:\/\/lcsweb.cs.bath.ac.uk\/.]]"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007593124513"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365603322365289"},{"key":"e_1_3_2_1_5_1","first-page":"115","volume-title":"Lanzi, P.L.","author":"Bernad\u00f3 E.","year":"2002","unstructured":"Bernad\u00f3 , E. ; Llor\u00e0 , X. , & Garrell , J.M. ( 2002 ). XCS and GALE: A comparative study of two learning classifier systems and six other learning algorithms on classification tasks . In Lanzi, P.L. ; Stolzmann, W. & Wilson, S.W. (Eds.), Advances in Learning Classifier Systems (LNAI 2321) (pp. 115 -- 132 ). Berlin Heidelberg : Springer-Verlag .]] Bernad\u00f3, E.; Llor\u00e0, X., & Garrell, J.M. (2002). XCS and GALE: A comparative study of two learning classifier systems and six other learning algorithms on classification tasks. In Lanzi, P.L.; Stolzmann, W. & Wilson, S.W. (Eds.), Advances in Learning Classifier Systems (LNAI 2321) (pp. 115--132). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_6_1","first-page":"83","volume-title":"Lanzi, P. L., Stolzmann, W., & Wilson","author":"Bonarini A.","year":"2000","unstructured":"Bonarini , A. ( 2000 ). An introduction to learning fuzzy classifier systems . In Lanzi, P. L., Stolzmann, W., & Wilson , S. W. (Eds.), Learning classifier systems: From foundations to applications (LNAI 1813) (pp. 83 -- 104 ). Berlin Heidelberg : Springer-Verlag .]] Bonarini, A. (2000). An introduction to learning fuzzy classifier systems. In Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Learning classifier systems: From foundations to applications (LNAI 1813) (pp. 83--104). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_8_1","first-page":"80","volume-title":"Proceedings of the 1st international conference on genetic algorithms and their application (ICGA-1985)","author":"Booker L. B.","year":"1985","unstructured":"Booker , L. B. ( 1985 ). Improving the performance of genetic algorithms in classifier systems. In Grefenstette, J. (Ed.) , Proceedings of the 1st international conference on genetic algorithms and their application (ICGA-1985) (pp. 80 -- 92 ). Pittsburg, PA: Lawrence Erlbaum Associates.]] Booker, L. B. (1985). Improving the performance of genetic algorithms in classifier systems. In Grefenstette, J. (Ed.), Proceedings of the 1st international conference on genetic algorithms and their application (ICGA-1985) (pp. 80--92). Pittsburg, PA: Lawrence Erlbaum Associates.]]"},{"key":"e_1_3_2_1_9_1","first-page":"125","volume-title":"P. L., Stolzmann, W., & Wilson","author":"Booker L. B.","year":"2000","unstructured":"Booker , L. B. ( 2000 ). Do we really need to estimate rule utility in classifier systems? In Lanzi , P. L., Stolzmann, W., & Wilson , S. W. (Eds.), Learning classifier systems: From foundations to applications (LNAI 1813) (pp. 125 -- 142 ). Berlin Heidelberg : Springer-Verlag .]] Booker, L. B. (2000). Do we really need to estimate rule utility in classifier systems? In Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Learning classifier systems: From foundations to applications (LNAI 1813) (pp. 125--142). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference (GECCO","author":"Booker L. B.","year":"2001","unstructured":"Booker , L. B. ( 2001 ). Classifier systems, endogenous fitness, and delayed rewards: A preliminary investigation . Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2001), 921--926.]] Booker, L. B. (2001). Classifier systems, endogenous fitness, and delayed rewards: A preliminary investigation. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2001), 921--926.]]"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(89)90050-7"},{"volume-title":"Applications of learning classifier systems","author":"Bull L.","key":"e_1_3_2_1_12_1","unstructured":"Bull , L. (Ed.). Applications of learning classifier systems . Berlin Heidelberg : Springer-Verlag .]] Bull, L. (Ed.). Applications of learning classifier systems. Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365602320169848"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","DOI":"10.1007\/b100387","volume-title":"Foundations of learning classifier systems","author":"Bull L.","year":"2005","unstructured":"Bull , L. & Kovacs , T. (Eds.) ( 2005 ). Foundations of learning classifier systems . Berlin Heidelberg : Springer-Verlag .]] Bull, L. & Kovacs, T. (Eds.) (2005). Foundations of learning classifier systems. Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the Fourth Genetic and Evolutionary Computation Conference (GECCO-2002)","author":"Bull L.","year":"2002","unstructured":"Bull , L. , & O'Hara , T. ( 2002 ). Accuracy-based neuro and neuro-fuzzy classifier systems . Proceedings of the Fourth Genetic and Evolutionary Computation Conference (GECCO-2002) , 905--911.]] Bull, L., & O'Hara, T. (2002). Accuracy-based neuro and neuro-fuzzy classifier systems. Proceedings of the Fourth Genetic and Evolutionary Computation Conference (GECCO-2002), 905--911.]]"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-0891-5","volume-title":"Anticipatory learning classifier systems","author":"Butz M. V.","year":"2002","unstructured":"Butz , M. V. ( 2002 ). Anticipatory learning classifier systems . Kluwer Academic Publishers , Boston, MA .]] Butz, M. V. (2002). Anticipatory learning classifier systems. Kluwer Academic Publishers, Boston, MA.]]"},{"key":"e_1_3_2_1_17_1","series-title":"Studies in Fuzziness and Soft Computing Series","volume-title":"Rule-based evolutionary online learning systems: A principled approach to LCS analysis and design","author":"Butz M. V.","year":"2006","unstructured":"Butz , M. V. ( 2006 ). Rule-based evolutionary online learning systems: A principled approach to LCS analysis and design . Studies in Fuzziness and Soft Computing Series , Springer Verlag , Berlin Heidelberg , Germany.]] Butz, M. V. (2006). Rule-based evolutionary online learning systems: A principled approach to LCS analysis and design. Studies in Fuzziness and Soft Computing Series, Springer Verlag, Berlin Heidelberg, Germany.]]"},{"key":"e_1_3_2_1_18_1","volume-title":"Bull, L. & Kovacs, T. (Eds.), Foundations of learning classifier systems (pp. 91--126).","author":"Butz M. V.","year":"2005","unstructured":"Butz , M. V. , Goldberg , D. E. & Lanzi , P. L. ( 2005 ). Computational complexity of the XCS classifier system . In Bull, L. & Kovacs, T. (Eds.), Foundations of learning classifier systems (pp. 91--126). Berlin Heidelberg : Springer-Verlag .]] Butz, M. V., Goldberg, D. E. & Lanzi, P. L. (2005). Computational complexity of the XCS classifier system. In Bull, L. & Kovacs, T. (Eds.), Foundations of learning classifier systems (pp. 91--126). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.850265"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1021330114221"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365603322365298"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1177\/1059712302010002001"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.818194"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.903551"},{"key":"e_1_3_2_1_25_1","first-page":"211","volume-title":"IWLCS 2001 (LNAI 2321)","author":"Butz M.V.","year":"2002","unstructured":"Butz , M.V. , & Stolzmann , W. ( 2002 ). An algorithmic description of ACS2. In Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.). Advances in learning classifier systems: Fourth international workshop , IWLCS 2001 (LNAI 2321) (pp. 211 -- 230 ). Berlin Heidelberg : Springer-Verlag.Butz, M. V., & Wilson, S. W. (2002). An Algorithmic Description of XCS. Soft Computing, 6, 144--153.]] Butz, M.V., & Stolzmann, W. (2002). An algorithmic description of ACS2. In Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.). Advances in learning classifier systems: Fourth international workshop, IWLCS 2001 (LNAI 2321) (pp. 211--230). Berlin Heidelberg: Springer-Verlag.Butz, M. V., & Wilson, S. W. (2002). An Algorithmic Description of XCS. Soft Computing, 6, 144--153.]]"},{"key":"e_1_3_2_1_26_1","first-page":"20","volume-title":"IWLCS 2002 (LNAI 2661)","author":"Dixon P. W.","year":"2003","unstructured":"Dixon , P. W. , Corne , D. W. , & Oates , M. J. ( 2003 ). A ruleset reduction algorithm for the XCS learning classifier system. In Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Learning classifier system: Fifth international workshop , IWLCS 2002 (LNAI 2661) (pp. 20 -- 29 ). Berlin Heidelberg : Springer-Verlag.]] Dixon, P. W., Corne, D. W., & Oates, M. J. (2003). A ruleset reduction algorithm for the XCS learning classifier system. In Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Learning classifier system: Fifth international workshop, IWLCS 2002 (LNAI 2661) (pp. 20--29). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2003.10.004"},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of the Third Genetic and Evolutionary Computation Conference (GECCO-2001)","author":"G\u00e9rard P.","year":"2001","unstructured":"G\u00e9rard , P. , & Sigaud , O. ( 2001 ). Adding a generalization mechanism to YACS . Proceedings of the Third Genetic and Evolutionary Computation Conference (GECCO-2001) , 951--957.]] G\u00e9rard, P., & Sigaud, O. (2001). Adding a generalization mechanism to YACS. Proceedings of the Third Genetic and Evolutionary Computation Conference (GECCO-2001), 951--957.]]"},{"key":"e_1_3_2_1_30_1","volume-title":"Genetic algorithms in search, optimization & machine learning","author":"Goldberg D. E.","year":"1989","unstructured":"Goldberg , D. E. ( 1989 ). Genetic algorithms in search, optimization & machine learning . Addison-Wesley .]] Goldberg, D. E. (1989). Genetic algorithms in search, optimization & machine learning. Addison-Wesley.]]"},{"key":"e_1_3_2_1_31_1","volume-title":"Adaptation in natural and artificial systems","author":"Holland J.H.","year":"1975","unstructured":"Holland , J.H. ( 1975 ). Adaptation in natural and artificial systems . University of Michigan Press.]] Holland, J.H. (1975). Adaptation in natural and artificial systems. University of Michigan Press.]]"},{"key":"e_1_3_2_1_32_1","first-page":"1","volume-title":"Proceedings of the 1st international conference on genetic algorithms and their application (ICGA-1985)","author":"Holland J.H.","year":"1985","unstructured":"Holland , J.H. ( 1985 ). Properties of the bucket brigade algorithm. In Grefenstette, J. (Ed.) , Proceedings of the 1st international conference on genetic algorithms and their application (ICGA-1985) (pp. 1 -- 7 ). Pittsburg, PA: Lawrence Erlbaum Associates.]] Holland, J.H. (1985). Properties of the bucket brigade algorithm. In Grefenstette, J. (Ed.), Proceedings of the 1st international conference on genetic algorithms and their application (ICGA-1985) (pp. 1--7). Pittsburg, PA: Lawrence Erlbaum Associates.]]"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/3729.001.0001","volume-title":"Induction. Processes of inference, learning, and discovery","author":"Holland J. H.","year":"1986","unstructured":"Holland , J. H. , Holyoak , K. J. , Nisbett , R. E. , & Thagard , P. R. ( 1986 ). Induction. Processes of inference, learning, and discovery . MIT Press .]] Holland, J. H., Holyoak, K. J., Nisbett, R. E., & Thagard, P. R. (1986). Induction. Processes of inference, learning, and discovery. MIT Press.]]"},{"key":"e_1_3_2_1_34_1","volume-title":"Waterman, D. A., & Hayes-Roth, F. (Eds.), Pattern directed inference systems (pp. 313--329)","author":"Holland J. H.","year":"1978","unstructured":"Holland , J. H. , & Reitman , J. S. ( 1978 ). Cognitive systems based on adaptive algorithms . In Waterman, D. A., & Hayes-Roth, F. (Eds.), Pattern directed inference systems (pp. 313--329) . Academic Press .]] Holland, J. H., & Reitman, J. S. (1978). Cognitive systems based on adaptive algorithms. In Waterman, D. A., & Hayes-Roth, F. (Eds.), Pattern directed inference systems (pp. 313--329). Academic Press.]]"},{"key":"e_1_3_2_1_35_1","volume-title":"Evolving Optimal Populations with XCS Classifier Systems. Master thesis","author":"Kovacs T.","year":"1996","unstructured":"Kovacs , T. ( 1996 ). Evolving Optimal Populations with XCS Classifier Systems. Master thesis . University of Birmingham , Birmingham, UK .]] Kovacs, T. (1996). Evolving Optimal Populations with XCS Classifier Systems. Master thesis. University of Birmingham, Birmingham, UK.]]"},{"key":"e_1_3_2_1_36_1","volume-title":"A Learning Classifier System Bibliography. Department of Computer Science","author":"Kovacs T.","year":"2007","unstructured":"Kovacs , T. ( 2007 ). A Learning Classifier System Bibliography. Department of Computer Science , University of Bristol , UK. http:\/\/www.cs.bris.ac.uk\/~kovacs\/lcs\/search.html.]] Kovacs, T. (2007). A Learning Classifier System Bibliography. Department of Computer Science, University of Bristol, UK. http:\/\/www.cs.bris.ac.uk\/~kovacs\/lcs\/search.html.]]"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-85729-416-6","volume-title":"Strength of accuracy: Credit assignment in learning classifier systems","author":"Kovacs T.","year":"2004","unstructured":"Kovacs , T. ( 2004 ). Strength of accuracy: Credit assignment in learning classifier systems . Berlin Heidelberg : Springer-Verlag .]] Kovacs, T. (2004). Strength of accuracy: Credit assignment in learning classifier systems. Berlin Heidelberg: Springer-Verlag.]]"},{"volume-title":"Advances at the frontier of LCS (LNCS 4399)","author":"Kovacs T.","key":"e_1_3_2_1_38_1","unstructured":"Kovacs , T. , Llor\u00e0 , X. , & Takadama , K. (in press). Advances at the frontier of LCS (LNCS 4399) . Berlin Heidelberg : Springer-Verlag .]] Kovacs, T., Llor\u00e0, X., & Takadama, K. (in press). Advances at the frontier of LCS (LNCS 4399). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_39_1","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99)","author":"Lanzi P. L.","year":"1999","unstructured":"Lanzi , P. L. ( 1999 ). Extending the representation of classifier conditions. Part II: From messy coding to S-expressions . Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99) , 345--352.]] Lanzi, P. L. (1999). Extending the representation of classifier conditions. Part II: From messy coding to S-expressions. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99), 345--352.]]"},{"key":"e_1_3_2_1_40_1","volume-title":"Adaptive agents with reinforcement learning and internal memory. From Animals to Animats 6: Proceedings of the Sixth International Conference on Simulation of Adaptive Behavior, 333--342.]]","author":"Lanzi P. L.","year":"2000","unstructured":"Lanzi , P. L. ( 2000 ). Adaptive agents with reinforcement learning and internal memory. From Animals to Animats 6: Proceedings of the Sixth International Conference on Simulation of Adaptive Behavior, 333--342.]] Lanzi, P. L. (2000). Adaptive agents with reinforcement learning and internal memory. From Animals to Animats 6: Proceedings of the Sixth International Conference on Simulation of Adaptive Behavior, 333--342.]]"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143997.1144242"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","DOI":"10.1007\/3-540-45027-0","volume-title":"Learning classifier systems: From foundations to applications (LNAI","author":"Lanzi P. L.","year":"2000","unstructured":"Lanzi , P. L. , Stolzmann , W. , & Wilson , S. W. (Eds.) ( 2000 ). Learning classifier systems: From foundations to applications (LNAI 1813). Berlin Heidelberg : Springer-Verlag .]] Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.) (2000). Learning classifier systems: From foundations to applications (LNAI 1813). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_43_1","volume-title":"IWLCS 2000 (LNAI","author":"Lanzi P. L.","year":"2001","unstructured":"Lanzi , P. L. , Stolzmann , W. , & Wilson , S. W. (Eds.) ( 2001 ). Advances in learning classifier systems: Third international workshop , IWLCS 2000 (LNAI 1996). Berlin Heidelberg : Springer-Verlag.]] Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.) (2001). Advances in learning classifier systems: Third international workshop, IWLCS 2000 (LNAI 1996). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_44_1","volume-title":"IWLCS 2001 (LNAI 2321)","author":"Lanzi P. L.","year":"2002","unstructured":"Lanzi , P. L. , Stolzmann , W. , & Wilson , S. W. (Eds.) ( 2002 ). Advances in learning classifier systems: 4th international workshop , IWLCS 2001 (LNAI 2321) . Berlin Heidelberg : Springer-Verlag.]] Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.) (2002). Advances in learning classifier systems: 4th international workshop, IWLCS 2001 (LNAI 2321). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_45_1","volume-title":"IWLCS 2002 (LNAI 2661)","author":"Lanzi P. L.","year":"2003","unstructured":"Lanzi , P. L. , Stolzmann , W. , & Wilson , S. W. (Eds.) ( 2003 ). Learning classifier systems: 5th international workshop , IWLCS 2002 (LNAI 2661) . Berlin Heidelberg : Springer-Verlag.]] Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.) (2003). Learning classifier systems: 5th international workshop, IWLCS 2002 (LNAI 2661). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568239"},{"key":"e_1_3_2_1_47_1","volume-title":"Proceedings of the Third Genetic and Evolutionary Computation Conference (GECCO-2001)","author":"Llor\u00e0 X.","year":"2001","unstructured":"Llor\u00e0 , X. , & Garrell , J. M. ( 2001 ). Knowledge independent data mining with fine-grained parallel evolutionary algorithms . Proceedings of the Third Genetic and Evolutionary Computation Conference (GECCO-2001) , 461--468.]] Llor\u00e0, X., & Garrell, J. M. (2001). Knowledge independent data mining with fine-grained parallel evolutionary algorithms. Proceedings of the Third Genetic and Evolutionary Computation Conference (GECCO-2001), 461--468.]]"},{"key":"e_1_3_2_1_48_1","first-page":"118","volume-title":"Lanzi, P.L., Stolzmann, W. & Wilson","author":"Llor\u00e0 X.","year":"2003","unstructured":"Llor\u00e0 , X. , Goldberg , D. E. , Traus , I. , & Bernad\u00f3\u00f3 , E. ( 2003 ). Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection . In Lanzi, P.L., Stolzmann, W. & Wilson , S.W. (Eds.). Learning classifier systems: 5th international workshop, IWLCS 2002 (LNAI 2661) (pp. 118 -- 142 ). Berlin Heidelberg : Springer-Verlag .]] Llor\u00e0, X., Goldberg, D. E., Traus, I., & Bernad\u00f3\u00f3, E. (2003). Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection. In Lanzi, P.L., Stolzmann, W. & Wilson, S.W. (Eds.). Learning classifier systems: 5th international workshop, IWLCS 2002 (LNAI 2661) (pp. 118--142). Berlin Heidelberg: Springer-Verlag.]]"},{"key":"e_1_3_2_1_49_1","first-page":"316","volume-title":"Meyer, J. & Wilson","author":"Riolo R. L.","year":"1991","unstructured":"Riolo , R. L. ( 1991 ). Lookahead planning and latent learning in a classifier system . In Meyer, J. & Wilson , S.W. (Eds.). From Animals to Animats : Proceedings of the First International Conference on Simulation of Adaptive Behavior (pp. 316 -- 326 ). MIT Press .]] Riolo, R. L. (1991). Lookahead planning and latent learning in a classifier system. In Meyer, J. & Wilson, S.W. (Eds.). From Animals to Animats: Proceedings of the First International Conference on Simulation of Adaptive Behavior (pp. 316--326). MIT Press.]]"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-007-0164-0"},{"key":"e_1_3_2_1_52_1","volume-title":"Genetic Programming 1998: Proceedings of the Third Annual Conference, 658--664.]]","author":"Stolzmann W.","year":"1998","unstructured":"Stolzmann , W. ( 1998 ). Anticipatory classifier systems , Genetic Programming 1998: Proceedings of the Third Annual Conference, 658--664.]] Stolzmann, W. (1998). Anticipatory classifier systems, Genetic Programming 1998: Proceedings of the Third Annual Conference, 658--664.]]"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.5555\/101883.102055"},{"key":"e_1_3_2_1_54_1","volume-title":"Reinforcement learning: An introduction","author":"Sutton R. S.","year":"1998","unstructured":"Sutton , R. S. , & Barto , A. G. ( 1998 ). Reinforcement learning: An introduction . MIT Press .]] Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction. MIT Press.]]"},{"key":"e_1_3_2_1_55_1","volume-title":"Proceedings of the 4th International Conference on Genetic Algorithms (ICGA","author":"Valenzuela-Rend\u00f3n M.","year":"1991","unstructured":"Valenzuela-Rend\u00f3n , M. ( 1991 ). The fuzzy classifier system: A classifier system for continuously varying variables . Proceedings of the 4th International Conference on Genetic Algorithms (ICGA 1991), 346.353.]] Valenzuela-Rend\u00f3n, M. (1991). The fuzzy classifier system: A classifier system for continuously varying variables. Proceedings of the 4th International Conference on Genetic Algorithms (ICGA 1991), 346.353.]]"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.21236\/AD0241531"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7373(83)80015-7"},{"key":"e_1_3_2_1_58_1","first-page":"16","volume-title":"Proceedings of the 1st international conference on genetic algorithms and their application (ICGA-1985)","author":"Wilson S. W.","year":"1985","unstructured":"Wilson , S. W. ( 1985 ). Knowledge growth in an artificial animal. In Grefenstette, J. (Ed.) , Proceedings of the 1st international conference on genetic algorithms and their application (ICGA-1985) (pp. 16 -- 23 ). Pittsburg, PA: Lawrence Erlbaum Associates.]] Wilson, S. W. (1985). Knowledge growth in an artificial animal. In Grefenstette, J. (Ed.), Proceedings of the 1st international conference on genetic algorithms and their application (ICGA-1985) (pp. 16--23). Pittsburg, PA: Lawrence Erlbaum Associates.]]"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022655214215"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1994.2.1.1"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1995.3.2.149"},{"key":"e_1_3_2_1_62_1","first-page":"196","volume-title":"IWLCS 2001 (LNAI 2321)","author":"Wilson S. W.","year":"2002","unstructured":"Wilson , S. W. ( 2002 ). Compact rulesets from XCSI. In Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.). Advances in learning classifier systems: Fourth international workshop , IWLCS 2001 (LNAI 2321) (pp. 196 -- 208 ). Berlin Heidelberg : Springer-Verlag.]] Wilson, S. W. (2002). Compact rulesets from XCSI. In Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.). Advances in learning classifier systems: Fourth international workshop, IWLCS 2001 (LNAI 2321) (pp. 196--208). Berlin Heidelberg: Springer-Verlag.]]"}],"event":{"name":"GECCO08: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation","ACM Association for Computing Machinery"],"location":"Atlanta GA USA","acronym":"GECCO08"},"container-title":["Proceedings of the 10th annual conference companion on Genetic and evolutionary computation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1388969.1389059","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1388969.1389059","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T14:47:23Z","timestamp":1750258043000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1388969.1389059"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,7,12]]},"references-count":59,"alternative-id":["10.1145\/1388969.1389059","10.1145\/1388969"],"URL":"https:\/\/doi.org\/10.1145\/1388969.1389059","relation":{},"subject":[],"published":{"date-parts":[[2008,7,12]]},"assertion":[{"value":"2008-07-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}