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Learning Classifier Systems
Pier L. Lanzi
其他書名
From Foundations to Applications
出版Springer Science & Business Media, 2000-06-21
主題Computers / Artificial Intelligence / GeneralComputers / Computer ScienceComputers / Information TechnologyComputers / Machine TheoryComputers / Software Development & Engineering / GeneralComputers / User InterfacesComputers / Data Science / Machine LearningMathematics / Discrete MathematicsMathematics / Logic
ISBN35406772919783540677291
URLhttp://books.google.com.hk/books?id=Xo-NuZvOpY0C&hl=&source=gbs_api
EBookSAMPLE
註釋Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and extensions to existing classifier system models. The final part is dedicated to promising applications in areas like data mining, medical data analysis, economic trading agents, aircraft maneuvering, and autonomous robotics. An appendix comprising 467 entries provides a comprehensive LCS bibliography.