Foundations of Learning Classifier Systems
Publication year: 2005
: 978-3-540-32396-9
This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland.
: Engineering, Adaptation, Mathematica, algorithm, algorithms, calculus, classification, complexity, dynamics, evolution, evolutionary computation, genetic algorithms, knowledge, learning, machine learning, reinforcement learning
