Learning Classifier System (LCS)-based System

From GM-RKB
(Redirected from Learning Classifier System)
Jump to navigation Jump to search

A Learning Classifier System (LCS)-based System is a rule-based learning system that combines a temporal difference learning or a supervised learning algorithm with a genetic algorithm.



References

2019

  1. Urbanowicz & Moore, 2009
  2. 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.
  3. 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.
  4. 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.
  5. Bernadó, Ester; Llorà, Xavier; Garrell, Josep M. (2001-07-07). Lanzi, Pier Luca; Stolzmann, Wolfgang; Wilson, Stewart W., eds. Advances in Learning Classifier Systems. Lecture Notes in Computer Science. Springer Berlin Heidelberg. pp. 115–132. doi:10.1007/3-540-48104-4_8. ISBN 9783540437932.
  6. Bacardit, Jaume; Butz, Martin V. (2007-01-01). Kovacs, Tim; Llorà, Xavier; Takadama, Keiki; Lanzi, Pier Luca; Stolzmann, Wolfgang; Wilson, Stewart W., eds. Learning Classifier Systems. Lecture Notes in Computer Science. Springer Berlin Heidelberg. pp. 282–290. CiteSeerX 10.1.1.553.4679. doi:10.1007/978-3-540-71231-2_19. ISBN 9783540712305.
  7. Urbanowicz, Ryan; Ramanand, Niranjan; Moore, Jason (2015-01-01). Continuous Endpoint Data Mining with ExSTraCS: A Supervised Learning Classifier System. 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.
  8. 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.

2017

2009