Foundations of Learning Classifier Systems Hardback - - 2005th Edition
by Larry Bull (Editor); Tim Kovacs (Editor)
- New
- Hardback
A$373.43
A$5.85
Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Standard delivery: 9 to 14 days
Ships from Cold Books (New York, United States)
Details
- Title Foundations of Learning Classifier Systems
- Author Larry Bull (Editor); Tim Kovacs (Editor)
- Binding Hardback
- Edition number 2005th
- Edition 2005
- Condition New
- Pages 336
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date pp. 346
- Illustrated Yes
- Features Bibliography, Illustrated
- Bookseller's Inventory # 63076941
- ISBN 9783540250739 / 3540250735
- Weight 1.45 lbs (0.66 kg)
- Dimensions 9.21 x 6.14 x 0.81 in (23.39 x 15.60 x 2.06 cm)
- Category Mathematics
- Library of Congress Catalogue Number 2005925385
- Dewey Decimal Code 006.31
- Quantity available 4
About Cold Books New York, United States
Reader reviews for Foundations of Learning Classifier Systems
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the rear cover
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.