{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:15:22Z","timestamp":1725664522046},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540604372"},{"type":"electronic","value":"9783540474685"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1995]]},"DOI":"10.1007\/3-540-60437-5_3","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T18:29:10Z","timestamp":1330280950000},"page":"25-36","source":"Crossref","is-referenced-by-count":2,"title":["Extending Q-learning to Fuzzy Classifier Systems"],"prefix":"10.1007","author":[{"given":"Andrea","family":"Bonarini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2005,6,8]]},"reference":[{"key":"3_CR1","first-page":"486","volume-title":"Fuzzy Q-Learning: a new approach for fuzzy dynamic programming","author":"H. R. Berenji","year":"1994","unstructured":"H. R. Berenji, Fuzzy Q-Learning: a new approach for fuzzy dynamic programming. Proc. Third IEEE Int. Conf. on Fuzzy Systems. IEEE Computer Press, Piscataway, NJ, pp. 486\u2013491, 1994."},{"key":"3_CR2","unstructured":"A Bonarini, ELF: learning incomplete fuzzy rule sets for an autonomous robot, Proc. of EUFIT '93, ELITE Foundation, Aachen, Germany, pp. 69\u201375, 1993."},{"key":"3_CR3","first-page":"51","volume-title":"Evolutionary learning of general fuzzy rules with biased evaluation functions: competition and cooperation","author":"A. Bonarini","year":"1994","unstructured":"Bonarini A., Evolutionary learning of general fuzzy rules with biased evaluation functions: competition and cooperation. In Proc. of IEEE WCCI \u2014 Evolutionary Computation IEEE Computer Press, Piscataway NJ, pp. 51\u201356, 1994."},{"key":"3_CR4","first-page":"1435","volume-title":"Cybernetics and Systems Research '94","author":"A. Bonarini","year":"1994","unstructured":"A. Bonarini, Some methodological issues about designing autonomous agents which learn their behaviors: the ELF experience. In R. Trappl (Ed.) Cybernetics and Systems Research '94, World Scientific Publishing, Singapore, pp. 1435\u20131442, 1994."},{"key":"3_CR5","unstructured":"A. Bonarini, Learning to coordinate fuzzy behaviors for autonomous agents. Proc. EUFIT '94 ELITE Foundation, Aachen, Germany, pp. 475\u2013479, 1994."},{"key":"3_CR6","volume-title":"Fuzzy modeling: paradigms and practice","author":"A. Bonarini","year":"1995","unstructured":"A. Bonarini, Evolutionary learning of fuzzy rules: competition and cooperation. To appear in W. Pedrycz (Ed.) Fuzzy modeling: paradigms and practice, Kluwer Academic Publishers, Norwell, MA, 1995."},{"issue":"no.2","key":"3_CR7","first-page":"311","volume":"55","author":"J. H. Connell","year":"1992","unstructured":"J. H. Connell, S. Mahadevan, Automatic programming of behavior-based robots using reinforcement learning, Artificial Intelligence, Vol. 55, no.2, pp. 311\u2013365, 1992.","journal-title":"Artificial Intelligence"},{"key":"3_CR8","unstructured":"P. Y. Glorennec, Fuzzy Q-learning and Evolutionary Strategy for adaptive fuzzy control, Proc. EUFIT '94 ELITE Foundation, Aachen, Germany, pp. 35\u201340, 1994."},{"key":"3_CR9","first-page":"346","volume-title":"Lamarckian learning in multi-agent environmemts","author":"J. J. Grefenstette","year":"1991","unstructured":"J. J. Grefenstette, Lamarckian learning in multi-agent environmemts, Proc. of the Fourth Int. Conf. on Genetic Algorithms, Morgan Kaufmann, San Mateo, CA, pp. 346\u2013353, 1991."},{"issue":"no.1","key":"3_CR10","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1177\/105971239200100104","volume":"1","author":"J. J. Grefenstette","year":"1992","unstructured":"J. J. Grefenstette, The evolution of strategies for multiagent environments. Adaptive Behavior, Vol. 1, no.1, pp. 65\u201391, 1992.","journal-title":"Adaptive Behavior"},{"key":"3_CR11","first-page":"346","volume-title":"The fuzzy classifier system: a classifier system for continuously varying variables","author":"M. Valenzuela-Rend\u00f3n","year":"1991","unstructured":"M. Valenzuela-Rend\u00f3n, The fuzzy classifier system: a classifier system for continuously varying variables. Proc. of the 4th Int. Conf. on Genetic Algorithms, Morgan Kaufmann, San Mateo, CA,pp. 346\u2013353, 1991."},{"key":"3_CR12","first-page":"279","volume":"8","author":"C. Watkins","year":"1992","unstructured":"C. Watkins, P. Dayan, Q-Learning, Machine Learning, Vol. 8, pp. 279\u2013292, 1992.","journal-title":"Machine Learning"},{"issue":"no.1","key":"3_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/evco.1994.2.1.1","volume":"2","author":"S. W. Wilson","year":"1994","unstructured":"S. W. Wilson, ZCS, a zeroeth level Classifier System, Evolutionary Computation, Vol. 2, no.1, pp. 1\u201318, 1994","journal-title":"Evolutionary Computation"}],"container-title":["Lecture Notes in Computer Science","Topics in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-60437-5_3.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,28]],"date-time":"2021-04-28T01:25:19Z","timestamp":1619573119000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-60437-5_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1995]]},"ISBN":["9783540604372","9783540474685"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-60437-5_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1995]]}}}