Strength or Accuracy: Credit Assignment in Learning Classifier Systems (Distinguished Dissertations),Used

Strength or Accuracy: Credit Assignment in Learning Classifier Systems (Distinguished Dissertations),Used

Out of Stock
SKU: SONG1447110587
Brand: Springer
$173.19 $247.41
Sold out Save $74.22
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

Product Description Classifier systems are an intriguing approach to a broad range of machine learning problems, based on automated generation and evaluation of condi tion/action rules. Inreinforcement learning tasks they simultaneously address the two major problems of learning a policy and generalising over it (and re lated objects, such as value functions). Despite over 20 years of research, however, classifier systems have met with mixed success, for reasons which were often unclear. Finally, in 1995 Stewart Wilson claimed a longawaited breakthrough with his XCS system, which differs from earlier classifier sys tems in a number of respects, the most significant of which is the way in which it calculates the value of rules for use by the rule generation system. Specifically, XCS (like most classifiersystems) employs a genetic algorithm for rule generation, and the way in whichit calculates rule fitness differsfrom earlier systems. Wilson described XCS as an accuracybased classifiersystem and earlier systems as strengthbased. The two differin that in strengthbased systems the fitness of a rule is proportional to the return (reward/payoff) it receives, whereas in XCS it is a function of the accuracy with which return is predicted. The difference is thus one of credit assignment, that is, of how a rule's contribution to the system's performance is estimated. XCS is a Q learning system; in fact, it is a proper generalisation of tabular Qlearning, in which rules aggregate states and actions. In XCS, as in other Qlearners, Qvaluesare used to weightaction selection. Review From the reviews:'This book is a monograph on learning classifier systems . The main objective of the book is to compare strengthbased classifier systems with accuracybased systems. The book is equipped with nine appendices. The biggest advantage of the book is its readability. The book is well written and is illustrated with many convincing examples.' (Jerzy W. GrzymalBusse, Mathematical Reviews, Issue 2005 k)

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed