Design and Analysis of Learning Classifier Systems A Probabilistic Approach /

• Main Author: Drugowitsch, Jan (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Studies in Computational Intelligence, 139
• Subjects: Computer science.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

This book provides a comprehensive introduction to the design and analysis of Learning Classifier Systems (LCS) from the perspective of machine learning. LCS are a family of methods for handling unsupervised learning, supervised learning and sequential decision tasks by decomposing larger problem sp...

Table of Contents:

• Background
• A Learning Classifier Systems Model
• A Probabilistic Model for LCS
• Training the Classifiers
• Mixing Independently Trained Classifiers
• The Optimal Set of Classifiers
• An Algorithmic Description
• Towards Reinforcement Learning with LCS
• Concluding Remarks.