{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T04:53:20Z","timestamp":1725512000801},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540712305"},{"type":"electronic","value":"9783540712312"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-71231-2_16","type":"book-chapter","created":{"date-parts":[[2007,6,10]],"date-time":"2007-06-10T09:50:57Z","timestamp":1181469057000},"page":"239-257","source":"Crossref","is-referenced-by-count":16,"title":["Three Architectures for Continuous Action"],"prefix":"10.1007","author":[{"given":"Stewart W.","family":"Wilson","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"16_CR1","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/TEVC.2003.818194","volume":"8","author":"M. Butz","year":"2004","unstructured":"Butz, M., et al.: Toward a theory of generalization and learning in XCS. IEEE Transactions on Evolutionary Computation\u00a08, 28\u201346 (2004)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"16_CR2","doi-asserted-by":"publisher","first-page":"1835","DOI":"10.1145\/1068009.1068320","volume-title":"GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, vol. 2","author":"M.V. Butz","year":"2005","unstructured":"Butz, M.V.: Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. In: Beyer, H.-G., et al. (eds.) GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, vol. 2, Washington DC, USA, 25-29 June 2005, pp. 1835\u20131842. ACM Press, New York (2005)"},{"key":"16_CR3","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/3-540-44640-0_15","volume-title":"Advances in Learning Classifier Systems","author":"M.V. Butz","year":"2001","unstructured":"Butz, M.V., Wilson, S.W.: An Algorithmic Description of XCS. In: Lanzi, P.L., Stolzmann, W., Wilson, S.W. (eds.) IWLCS 2000. LNCS (LNAI), vol.\u00a01996, pp. 253\u2013272. Springer, Heidelberg (2001)"},{"key":"16_CR4","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1007\/11564096_57","volume-title":"Machine Learning: ECML 2005","author":"A. Hamzeh","year":"2005","unstructured":"Hamzeh, A., Rahmani, A.: An evolutionary function approximation approach to compute prediction in XCSF. In: Gama, J., et al. (eds.) ECML 2005. LNCS (LNAI), vol.\u00a03720, pp. 584\u2013592. Springer, Heidelberg (2005)"},{"key":"16_CR5","unstructured":"Lanzi, P.L., Wilson, S.W.: Classifier conditions based on convex hulls. Technical report, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign (2005)"},{"key":"16_CR6","unstructured":"Lanzi, P.L., et al.: Generalization in the XCS classifier system: analysis, improvement, and extension. Technical report, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign (2005)"},{"key":"16_CR7","doi-asserted-by":"publisher","first-page":"1827","DOI":"10.1145\/1068009.1068319","volume-title":"GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, vol. 2","author":"P.L. Lanzi","year":"2005","unstructured":"Lanzi, P.L., et al.: Extending XCSF beyond linear approximation. In: Beyer, H.-G., et al. (eds.) GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, vol. 2, Washington DC, USA, 25-29 June 2005, pp. 1827\u20131834. ACM Press, New York (2005)"},{"issue":"4","key":"16_CR8","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1162\/106365600568239","volume":"8","author":"P.L. Lanzi","year":"2000","unstructured":"Lanzi, P.L., Wilson, S.W.: Toward optimal classifier system performance in non-Markov environments. Evolutionary Computation\u00a08(4), 393\u2013418 (2000)","journal-title":"Evolutionary Computation"},{"key":"16_CR9","volume-title":"Reinforcement Learning: An Introduction","author":"R.S. Sutton","year":"1998","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (1998)"},{"key":"16_CR10","unstructured":"Watkins, C.J.C.H.: Learning From Delayed Rewards. PhD thesis, Cambridge University (1989)"},{"key":"16_CR11","unstructured":"Wilson, S.W.: Continuous action. In: Slides presented at the Eighth International Workshop on Learning Classifier Systems (IWLCS-2005) (2005), Available at prediction-dynamics.com"},{"key":"16_CR12","unstructured":"Wilson, S.W.: Optimal continuous policies: a classifier system approach. In: Extended Abstract, International Workshop on Learning Classifier Systems (IWLCS-2004) (2004), Available at prediction-dynamics.com"},{"issue":"2","key":"16_CR13","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1162\/evco.1995.3.2.149","volume":"3","author":"S.W. Wilson","year":"1995","unstructured":"Wilson, S.W.: Classifier Fitness Based on Accuracy. Evolutionary Computation\u00a03(2), 149\u2013175 (1995)","journal-title":"Evolutionary Computation"},{"key":"16_CR14","first-page":"974","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001)","author":"S.W. Wilson","year":"2001","unstructured":"Wilson, S.W.: Function approximation with a classifier system. In: Spector, L., et al. (eds.) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), 7-11 July 2001, pp. 974\u2013981. Morgan Kaufmann, San Francisco (2001)"},{"key":"16_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1007\/978-3-540-24855-2_96","volume-title":"Genetic and Evolutionary Computation \u2013 GECCO 2004","author":"S.W. Wilson","year":"2004","unstructured":"Wilson, S.W.: Classifier systems for continuous payoff environments. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol.\u00a03103, pp. 824\u2013835. Springer, Heidelberg (2004)"}],"container-title":["Lecture Notes in Computer Science","Learning Classifier Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-71231-2_16.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T00:17:11Z","timestamp":1605745031000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-71231-2_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540712305","9783540712312"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-71231-2_16","relation":{},"subject":[]}}