Advances in Learning Classifier Systems Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000. Revised Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lanzi, Pier L. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Stolzmann, Wolfgang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wilson, Stewart W. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
• Έκδοση: 1st ed. 2001.
• Σειρά: Lecture Notes in Artificial Intelligence ; 1996
• Θέματα: Artificial intelligence.; Computers.; Mathematical logic.; Artificial Intelligence.; Theory of Computation.; Mathematical Logic and Formal Languages.; Computation by Abstract Devices.

Learning classi er systems are rule-based systems that exploit evolutionary c- putation and reinforcement learning to solve di cult problems. They were - troduced in 1978 by John H. Holland, the father of genetic algorithms, and since then they have been applied to domains as diverse as autonomous r...