Learning classifier system (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Learning classifier system" in English language version.

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acm.org

dl.acm.org

Holland, John H. "Escaping brittleness: the possibilities of general purpose learning algorithms applied to parallel rule-based system." Machine learning(1986): 593-623.
Holland, John H. (1985-01-01). Properties of the Bucket Brigade. Hillsdale, NJ, USA: L. Erlbaum Associates Inc. pp. 1–7. ISBN 978-0805804263. {{cite book}}: |journal= ignored (help)
Riolo, Rick L. (1988-01-01). Empirical Studies of Default Hierarchies and Sequences of Rules in Learning Classifier Systems (Thesis). Ann Arbor, MI, USA: University of Michigan.
Riolo, Rick L. (1990-01-01). Lookahead Planning and Latent Learning in a Classifier System. Cambridge, MA, USA: MIT Press. pp. 316–326. ISBN 978-0262631389. {{cite book}}: |journal= ignored (help)

archive.org

Bernadó, Ester; Llorà, Xavier; Garrell, Josep M. (2001-07-07). "XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining". In Lanzi, Pier Luca; Stolzmann, Wolfgang; Wilson, Stewart W. (eds.). Advances in Learning Classifier Systems. Lecture Notes in Computer Science. Vol. 2321. Springer Berlin Heidelberg. pp. 115–132. doi:10.1007/3-540-48104-4_8. ISBN 9783540437932.
Bacardit, Jaume; Butz, Martin V. (2007-01-01). "Data Mining in Learning Classifier Systems: Comparing XCS with GAssist". In Kovacs, Tim; Llorà, Xavier; Takadama, Keiki; Lanzi, Pier Luca; Stolzmann, Wolfgang; Wilson, Stewart W. (eds.). Learning Classifier Systems. Lecture Notes in Computer Science. Vol. 4399. Springer Berlin Heidelberg. pp. 282–290. CiteSeerX 10.1.1.553.4679. doi:10.1007/978-3-540-71231-2_19. ISBN 9783540712305.
Bonelli, Pierre; Parodi, Alexandre; Sen, Sandip; Wilson, Stewart (1990-01-01). NEWBOOLE: A Fast GBML System. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. pp. 153–159. ISBN 978-1558601413. {{cite book}}: |journal= ignored (help)

books.google.com

Holland, John (1975). Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. Michigan Press. ISBN 9780262581110.

citeulike.org

Booker, L (1982-01-01). Intelligent Behavior as an Adaptation to the Task Environment (Thesis). University of Michigan.

doi.org

Stalph, Patrick O.; Butz, Martin V. (2010-02-01). "JavaXCSF: The XCSF Learning Classifier System in Java". SIGEVOlution. 4 (3): 16–19. doi:10.1145/1731888.1731890. ISSN 1931-8499. S2CID 16861908.
Urbanowicz, Ryan J.; Moore, Jason H. (2009-09-22). "Learning Classifier Systems: A Complete Introduction, Review, and Roadmap". Journal of Artificial Evolution and Applications. 2009: 1–25. doi:10.1155/2009/736398. ISSN 1687-6229.
Dorigo, Marco (1995). "Alecsys and the AutonoMouse: Learning to control a real robot by distributed classifier systems". Machine Learning. 19 (3): 209–240. doi:10.1007/BF00996270. ISSN 0885-6125.
Bernadó-Mansilla, Ester; Garrell-Guiu, Josep M. (2003-09-01). "Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks". Evolutionary Computation. 11 (3): 209–238. doi:10.1162/106365603322365289. ISSN 1063-6560. PMID 14558911. S2CID 9086149.
Urbanowicz, Ryan J.; Moore, Jason H. (2015-04-03). "ExSTraCS 2.0: description and evaluation of a scalable learning classifier system". Evolutionary Intelligence. 8 (2–3): 89–116. doi:10.1007/s12065-015-0128-8. ISSN 1864-5909. PMC 4583133. PMID 26417393.
Bernadó, Ester; Llorà, Xavier; Garrell, Josep M. (2001-07-07). "XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining". In Lanzi, Pier Luca; Stolzmann, Wolfgang; Wilson, Stewart W. (eds.). Advances in Learning Classifier Systems. Lecture Notes in Computer Science. Vol. 2321. Springer Berlin Heidelberg. pp. 115–132. doi:10.1007/3-540-48104-4_8. ISBN 9783540437932.
Bacardit, Jaume; Butz, Martin V. (2007-01-01). "Data Mining in Learning Classifier Systems: Comparing XCS with GAssist". In Kovacs, Tim; Llorà, Xavier; Takadama, Keiki; Lanzi, Pier Luca; Stolzmann, Wolfgang; Wilson, Stewart W. (eds.). Learning Classifier Systems. Lecture Notes in Computer Science. Vol. 4399. Springer Berlin Heidelberg. pp. 282–290. CiteSeerX 10.1.1.553.4679. doi:10.1007/978-3-540-71231-2_19. ISBN 9783540712305.
Urbanowicz, Ryan; Ramanand, Niranjan; Moore, Jason (2015-01-01). "Continuous Endpoint Data Mining with ExSTraCS". Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO Companion '15. New York, NY, USA: ACM. pp. 1029–1036. doi:10.1145/2739482.2768453. ISBN 9781450334884. S2CID 11908241.
Butz, M. V.; Lanzi, P. L.; Wilson, S. W. (2008-06-01). "Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction". IEEE Transactions on Evolutionary Computation. 12 (3): 355–376. doi:10.1109/TEVC.2007.903551. ISSN 1089-778X. S2CID 8861046.
Wilson, Stewart W. (1995-06-01). "Classifier Fitness Based on Accuracy". Evol. Comput. 3 (2): 149–175. CiteSeerX 10.1.1.363.2210. doi:10.1162/evco.1995.3.2.149. ISSN 1063-6560. S2CID 18341635.
Urbanowicz, R. J.; Granizo-Mackenzie, A.; Moore, J. H. (2012-11-01). "An analysis pipeline with statistical and visualization-guided knowledge discovery for Michigan-style learning classifier systems". IEEE Computational Intelligence Magazine. 7 (4): 35–45. doi:10.1109/MCI.2012.2215124. ISSN 1556-603X. PMC 4244006. PMID 25431544.
Bacardit, Jaume; Llorà, Xavier (2013). "Large-scale data mining using genetics-based machine learning". Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 3 (1): 37–61. doi:10.1002/widm.1078. S2CID 43062613.
Lanzi, Pier Luca (2008-02-08). "Learning classifier systems: then and now". Evolutionary Intelligence. 1 (1): 63–82. doi:10.1007/s12065-007-0003-3. ISSN 1864-5909. S2CID 27153843.
Wilson, Stewart W. (1987). "Classifier systems and the animat problem". Machine Learning. 2 (3): 199–228. doi:10.1007/BF00058679. ISSN 0885-6125.
Frey, Peter W.; Slate, David J. (1991). "Letter recognition using Holland-style adaptive classifiers". Machine Learning. 6 (2): 161–182. doi:10.1007/BF00114162. ISSN 0885-6125.
Wilson, Stewart W. (1994-03-01). "ZCS: A Zeroth Level Classifier System". Evolutionary Computation. 2 (1): 1–18. CiteSeerX 10.1.1.363.798. doi:10.1162/evco.1994.2.1.1. ISSN 1063-6560. S2CID 17680778.
Lanzi, P. L. (2002). "Learning classifier systems from a reinforcement learning perspective". Soft Computing. 6 (3–4): 162–170. doi:10.1007/s005000100113. ISSN 1432-7643. S2CID 39103390.
Kovacs, Tim (2002). "Two Views of Classifier Systems". Advances in Learning Classifier Systems. Lecture Notes in Computer Science. Vol. 2321. pp. 74–87. doi:10.1007/3-540-48104-4_6. ISBN 978-3-540-43793-2.
Wilson, Stewart W. (2002). "Classifiers that approximate functions". Natural Computing. 1 (2–3): 211–234. doi:10.1023/A:1016535925043. ISSN 1567-7818. S2CID 23032802.
Bacardit, Jaume; Burke, Edmund K.; Krasnogor, Natalio (2008-12-12). "Improving the scalability of rule-based evolutionary learning". Memetic Computing. 1 (1): 55–67. doi:10.1007/s12293-008-0005-4. ISSN 1865-9284. S2CID 775199.
Drugowitsch, Jan (2008). Design and Analysis of Learning Classifier Systems - Springer. Studies in Computational Intelligence. Vol. 139. doi:10.1007/978-3-540-79866-8. ISBN 978-3-540-79865-1.
Urbanowicz, Ryan; Granizo-Mackenzie, Ambrose; Moore, Jason (2012-01-01). "Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems". Proceedings of the 14th annual conference on Genetic and evolutionary computation. GECCO '12. New York, NY, USA: ACM. pp. 927–934. doi:10.1145/2330163.2330291. ISBN 9781450311779. S2CID 142534.
Bacardit, Jaume; Krasnogor, Natalio (2009-01-01). "A mixed discrete-continuous attribute list representation for large scale classification domains". Proceedings of the 11th Annual conference on Genetic and evolutionary computation. GECCO '09. New York, NY, USA: ACM. pp. 1155–1162. CiteSeerX 10.1.1.158.7314. doi:10.1145/1569901.1570057. ISBN 9781605583259. S2CID 10906515.
Iqbal, Muhammad; Browne, Will N.; Zhang, Mengjie (2014-08-01). "Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems". IEEE Transactions on Evolutionary Computation. 18 (4): 465–480. doi:10.1109/tevc.2013.2281537. S2CID 525358.
Booker, L. B.; Goldberg, D. E.; Holland, J. H. (1989-09-01). "Classifier systems and genetic algorithms" (PDF). Artificial Intelligence. 40 (1): 235–282. doi:10.1016/0004-3702(89)90050-7. hdl:2027.42/27777.

fao.org

agris.fao.org

R.L., Riolo (1987-01-01). "Bucket brigade performance. I. Long sequences of classifiers". Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms: July 28–31, 1987 at the Massachusetts Institute of Technology, Cambridge, MA.
R.L., Riolo (1987-01-01). "Bucket brigade performance. II. Default hierarchies". Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms: July 28–31, 1987 at the Massachusetts Institute of Technology, Cambridge, MA.

handle.net

hdl.handle.net

Booker, L. B.; Goldberg, D. E.; Holland, J. H. (1989-09-01). "Classifier systems and genetic algorithms" (PDF). Artificial Intelligence. 40 (1): 235–282. doi:10.1016/0004-3702(89)90050-7. hdl:2027.42/27777.

nih.gov

pubmed.ncbi.nlm.nih.gov

Bernadó-Mansilla, Ester; Garrell-Guiu, Josep M. (2003-09-01). "Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks". Evolutionary Computation. 11 (3): 209–238. doi:10.1162/106365603322365289. ISSN 1063-6560. PMID 14558911. S2CID 9086149.
Urbanowicz, Ryan J.; Moore, Jason H. (2015-04-03). "ExSTraCS 2.0: description and evaluation of a scalable learning classifier system". Evolutionary Intelligence. 8 (2–3): 89–116. doi:10.1007/s12065-015-0128-8. ISSN 1864-5909. PMC 4583133. PMID 26417393.
Urbanowicz, R. J.; Granizo-Mackenzie, A.; Moore, J. H. (2012-11-01). "An analysis pipeline with statistical and visualization-guided knowledge discovery for Michigan-style learning classifier systems". IEEE Computational Intelligence Magazine. 7 (4): 35–45. doi:10.1109/MCI.2012.2215124. ISSN 1556-603X. PMC 4244006. PMID 25431544.

ncbi.nlm.nih.gov

Urbanowicz, Ryan J.; Moore, Jason H. (2015-04-03). "ExSTraCS 2.0: description and evaluation of a scalable learning classifier system". Evolutionary Intelligence. 8 (2–3): 89–116. doi:10.1007/s12065-015-0128-8. ISSN 1864-5909. PMC 4583133. PMID 26417393.
Urbanowicz, R. J.; Granizo-Mackenzie, A.; Moore, J. H. (2012-11-01). "An analysis pipeline with statistical and visualization-guided knowledge discovery for Michigan-style learning classifier systems". IEEE Computational Intelligence Magazine. 7 (4): 35–45. doi:10.1109/MCI.2012.2215124. ISSN 1556-603X. PMC 4244006. PMID 25431544.
Holmes, John H. (1996-01-01). "A Genetics-Based Machine Learning Approach to Knowledge Discovery in Clinical Data". Proceedings of the AMIA Annual Fall Symposium: 883. ISSN 1091-8280. PMC 2233061.

psu.edu

citeseerx.ist.psu.edu

Bacardit, Jaume; Butz, Martin V. (2007-01-01). "Data Mining in Learning Classifier Systems: Comparing XCS with GAssist". In Kovacs, Tim; Llorà, Xavier; Takadama, Keiki; Lanzi, Pier Luca; Stolzmann, Wolfgang; Wilson, Stewart W. (eds.). Learning Classifier Systems. Lecture Notes in Computer Science. Vol. 4399. Springer Berlin Heidelberg. pp. 282–290. CiteSeerX 10.1.1.553.4679. doi:10.1007/978-3-540-71231-2_19. ISBN 9783540712305.
Wilson, Stewart W. (1995-06-01). "Classifier Fitness Based on Accuracy". Evol. Comput. 3 (2): 149–175. CiteSeerX 10.1.1.363.2210. doi:10.1162/evco.1995.3.2.149. ISSN 1063-6560. S2CID 18341635.
Wilson, Stewart W. (1994-03-01). "ZCS: A Zeroth Level Classifier System". Evolutionary Computation. 2 (1): 1–18. CiteSeerX 10.1.1.363.798. doi:10.1162/evco.1994.2.1.1. ISSN 1063-6560. S2CID 17680778.
Bacardit, Jaume; Krasnogor, Natalio (2009-01-01). "A mixed discrete-continuous attribute list representation for large scale classification domains". Proceedings of the 11th Annual conference on Genetic and evolutionary computation. GECCO '09. New York, NY, USA: ACM. pp. 1155–1162. CiteSeerX 10.1.1.158.7314. doi:10.1145/1569901.1570057. ISBN 9781605583259. S2CID 10906515.

researchgate.net

Smith S (1983) Flexible learning of problem solving heuristics through adaptive search. In: Eighth international joint conference on articial intelligence. Morgan Kaufmann, Los Altos, pp 421–425

ryanurbanowicz.com

Introducing Rule-Based Machine Learning: A Practical Guide, Ryan J. Urbanowicz and Will Browne, see pp. 72-73 for Michigan-style architecture vs. Pittsburgh-style architecture.

semanticscholar.org

api.semanticscholar.org

Stalph, Patrick O.; Butz, Martin V. (2010-02-01). "JavaXCSF: The XCSF Learning Classifier System in Java". SIGEVOlution. 4 (3): 16–19. doi:10.1145/1731888.1731890. ISSN 1931-8499. S2CID 16861908.
Bernadó-Mansilla, Ester; Garrell-Guiu, Josep M. (2003-09-01). "Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks". Evolutionary Computation. 11 (3): 209–238. doi:10.1162/106365603322365289. ISSN 1063-6560. PMID 14558911. S2CID 9086149.
Urbanowicz, Ryan; Ramanand, Niranjan; Moore, Jason (2015-01-01). "Continuous Endpoint Data Mining with ExSTraCS". Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO Companion '15. New York, NY, USA: ACM. pp. 1029–1036. doi:10.1145/2739482.2768453. ISBN 9781450334884. S2CID 11908241.
Butz, M. V.; Lanzi, P. L.; Wilson, S. W. (2008-06-01). "Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction". IEEE Transactions on Evolutionary Computation. 12 (3): 355–376. doi:10.1109/TEVC.2007.903551. ISSN 1089-778X. S2CID 8861046.
Wilson, Stewart W. (1995-06-01). "Classifier Fitness Based on Accuracy". Evol. Comput. 3 (2): 149–175. CiteSeerX 10.1.1.363.2210. doi:10.1162/evco.1995.3.2.149. ISSN 1063-6560. S2CID 18341635.
Bacardit, Jaume; Llorà, Xavier (2013). "Large-scale data mining using genetics-based machine learning". Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 3 (1): 37–61. doi:10.1002/widm.1078. S2CID 43062613.
Lanzi, Pier Luca (2008-02-08). "Learning classifier systems: then and now". Evolutionary Intelligence. 1 (1): 63–82. doi:10.1007/s12065-007-0003-3. ISSN 1864-5909. S2CID 27153843.
Wilson, Stewart W. (1994-03-01). "ZCS: A Zeroth Level Classifier System". Evolutionary Computation. 2 (1): 1–18. CiteSeerX 10.1.1.363.798. doi:10.1162/evco.1994.2.1.1. ISSN 1063-6560. S2CID 17680778.
Lanzi, P. L. (2002). "Learning classifier systems from a reinforcement learning perspective". Soft Computing. 6 (3–4): 162–170. doi:10.1007/s005000100113. ISSN 1432-7643. S2CID 39103390.
Wilson, Stewart W. (2002). "Classifiers that approximate functions". Natural Computing. 1 (2–3): 211–234. doi:10.1023/A:1016535925043. ISSN 1567-7818. S2CID 23032802.
Bacardit, Jaume; Burke, Edmund K.; Krasnogor, Natalio (2008-12-12). "Improving the scalability of rule-based evolutionary learning". Memetic Computing. 1 (1): 55–67. doi:10.1007/s12293-008-0005-4. ISSN 1865-9284. S2CID 775199.
Urbanowicz, Ryan; Granizo-Mackenzie, Ambrose; Moore, Jason (2012-01-01). "Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems". Proceedings of the 14th annual conference on Genetic and evolutionary computation. GECCO '12. New York, NY, USA: ACM. pp. 927–934. doi:10.1145/2330163.2330291. ISBN 9781450311779. S2CID 142534.
Bacardit, Jaume; Krasnogor, Natalio (2009-01-01). "A mixed discrete-continuous attribute list representation for large scale classification domains". Proceedings of the 11th Annual conference on Genetic and evolutionary computation. GECCO '09. New York, NY, USA: ACM. pp. 1155–1162. CiteSeerX 10.1.1.158.7314. doi:10.1145/1569901.1570057. ISBN 9781605583259. S2CID 10906515.
Iqbal, Muhammad; Browne, Will N.; Zhang, Mengjie (2014-08-01). "Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems". IEEE Transactions on Evolutionary Computation. 18 (4): 465–480. doi:10.1109/tevc.2013.2281537. S2CID 525358.

sfu.ca

cs.sfu.ca

Wilson, S. W. "Knowledge growth in an artificial animal. Proceedings of the First International Conference on Genetic Algorithms and their Applications." (1985).

springer.com

link.springer.com

Kovacs, Tim (2002). "Two Views of Classifier Systems". Advances in Learning Classifier Systems. Lecture Notes in Computer Science. Vol. 2321. pp. 74–87. doi:10.1007/3-540-48104-4_6. ISBN 978-3-540-43793-2.
Holmes, John H., and Jennifer A. Sager. "Rule discovery in epidemiologic surveillance data using EpiXCS: an evolutionary computation approach." InConference on Artificial Intelligence in Medicine in Europe, pp. 444-452. Springer Berlin Heidelberg, 2005.
Bull, Larry. "A simple payoff-based learning classifier system." InInternational Conference on Parallel Problem Solving from Nature, pp. 1032-1041. Springer Berlin Heidelberg, 2004.

ugr.es

sci2s.ugr.es

Valenzuela-Rendón, Manuel. "The Fuzzy Classifier System: A Classifier System for Continuously Varying Variables." In ICGA, pp. 346-353. 1991.

umich.edu

deepblue.lib.umich.edu

Booker, L. B.; Goldberg, D. E.; Holland, J. H. (1989-09-01). "Classifier systems and genetic algorithms" (PDF). Artificial Intelligence. 40 (1): 235–282. doi:10.1016/0004-3702(89)90050-7. hdl:2027.42/27777.

upenn.edu

seas.upenn.edu

Urbanowicz, Ryan J., Gediminas Bertasius, and Jason H. Moore. "An extended michigan-style learning classifier system for flexible supervised learning, classification, and data mining." In International Conference on Parallel Problem Solving from Nature, pp. 211-221. Springer International Publishing, 2014.

web.archive.org

Holmes, John H. "Discovering Risk of Disease with a Learning Classifier System." In ICGA, pp. 426-433. 1997.
Butz, Martin V. "Biasing exploration in an anticipatory learning classifier system." In International Workshop on Learning Classifier Systems, pp. 3-22. Springer Berlin Heidelberg, 2001.
Bull, Larry. "A simple accuracy-based learning classifier system." Learning Classifier Systems Group Technical Report UWELCSG03-005, University of the West of England, Bristol, UK (2003).
Urbanowicz, Ryan J., Delaney Granizo-Mackenzie, and Jason H. Moore. "Using expert knowledge to guide covering and mutation in a michigan style learning classifier system to detect epistasis and heterogeneity." InInternational Conference on Parallel Problem Solving from Nature, pp. 266-275. Springer Berlin Heidelberg, 2012.

worldcat.org

Stalph, Patrick O.; Butz, Martin V. (2010-02-01). "JavaXCSF: The XCSF Learning Classifier System in Java". SIGEVOlution. 4 (3): 16–19. doi:10.1145/1731888.1731890. ISSN 1931-8499. S2CID 16861908.
Urbanowicz, Ryan J.; Moore, Jason H. (2009-09-22). "Learning Classifier Systems: A Complete Introduction, Review, and Roadmap". Journal of Artificial Evolution and Applications. 2009: 1–25. doi:10.1155/2009/736398. ISSN 1687-6229.
Dorigo, Marco (1995). "Alecsys and the AutonoMouse: Learning to control a real robot by distributed classifier systems". Machine Learning. 19 (3): 209–240. doi:10.1007/BF00996270. ISSN 0885-6125.
Bernadó-Mansilla, Ester; Garrell-Guiu, Josep M. (2003-09-01). "Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks". Evolutionary Computation. 11 (3): 209–238. doi:10.1162/106365603322365289. ISSN 1063-6560. PMID 14558911. S2CID 9086149.
Urbanowicz, Ryan J.; Moore, Jason H. (2015-04-03). "ExSTraCS 2.0: description and evaluation of a scalable learning classifier system". Evolutionary Intelligence. 8 (2–3): 89–116. doi:10.1007/s12065-015-0128-8. ISSN 1864-5909. PMC 4583133. PMID 26417393.
Butz, M. V.; Lanzi, P. L.; Wilson, S. W. (2008-06-01). "Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction". IEEE Transactions on Evolutionary Computation. 12 (3): 355–376. doi:10.1109/TEVC.2007.903551. ISSN 1089-778X. S2CID 8861046.
Wilson, Stewart W. (1995-06-01). "Classifier Fitness Based on Accuracy". Evol. Comput. 3 (2): 149–175. CiteSeerX 10.1.1.363.2210. doi:10.1162/evco.1995.3.2.149. ISSN 1063-6560. S2CID 18341635.
Urbanowicz, R. J.; Granizo-Mackenzie, A.; Moore, J. H. (2012-11-01). "An analysis pipeline with statistical and visualization-guided knowledge discovery for Michigan-style learning classifier systems". IEEE Computational Intelligence Magazine. 7 (4): 35–45. doi:10.1109/MCI.2012.2215124. ISSN 1556-603X. PMC 4244006. PMID 25431544.
Lanzi, Pier Luca (2008-02-08). "Learning classifier systems: then and now". Evolutionary Intelligence. 1 (1): 63–82. doi:10.1007/s12065-007-0003-3. ISSN 1864-5909. S2CID 27153843.
Wilson, Stewart W. (1987). "Classifier systems and the animat problem". Machine Learning. 2 (3): 199–228. doi:10.1007/BF00058679. ISSN 0885-6125.
Frey, Peter W.; Slate, David J. (1991). "Letter recognition using Holland-style adaptive classifiers". Machine Learning. 6 (2): 161–182. doi:10.1007/BF00114162. ISSN 0885-6125.
Wilson, Stewart W. (1994-03-01). "ZCS: A Zeroth Level Classifier System". Evolutionary Computation. 2 (1): 1–18. CiteSeerX 10.1.1.363.798. doi:10.1162/evco.1994.2.1.1. ISSN 1063-6560. S2CID 17680778.
Lanzi, P. L. (2002). "Learning classifier systems from a reinforcement learning perspective". Soft Computing. 6 (3–4): 162–170. doi:10.1007/s005000100113. ISSN 1432-7643. S2CID 39103390.
Holmes, John H. (1996-01-01). "A Genetics-Based Machine Learning Approach to Knowledge Discovery in Clinical Data". Proceedings of the AMIA Annual Fall Symposium: 883. ISSN 1091-8280. PMC 2233061.
Wilson, Stewart W. (2002). "Classifiers that approximate functions". Natural Computing. 1 (2–3): 211–234. doi:10.1023/A:1016535925043. ISSN 1567-7818. S2CID 23032802.
Bacardit, Jaume; Burke, Edmund K.; Krasnogor, Natalio (2008-12-12). "Improving the scalability of rule-based evolutionary learning". Memetic Computing. 1 (1): 55–67. doi:10.1007/s12293-008-0005-4. ISSN 1865-9284. S2CID 775199.