Introduction to Learning Classifier Systems

• Κύριοι συγγραφείς: Urbanowicz, Ryan J. (Συγγραφέας), Browne, Will N. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2017.
• Σειρά: SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
• Θέματα: Computer science.; Computers.; Artificial intelligence.; Bioinformatics.; Mathematical optimization.; Computational intelligence.; Control engineering.; Robotics.; Mechatronics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computational Intelligence.; Optimization.; Computational Biology/Bioinformatics.; Control, Robotics, Mechatronics.; Theory of Computation.

This accessible introduction shows the reader how to understand, implement, adapt, and apply Learning Classifier Systems (LCSs) to interesting and difficult problems. The text builds an understanding from basic ideas and concepts. The authors first explore learning through environment interaction, a...

Πίνακας περιεχομένων:

• LCSs in a Nutshell
• LCS Concepts
• Functional Cycle Components
• LCS Adaptability
• Applying LCSs.