Skip to main content

Part of the book series: Genetic Algorithms and Evolutionary Computation ((GENA,volume 4))

  • 113 Accesses

Abstract

In order not to precipitately rush into the theoretical details and functioning of ACS2, we first provide a rather general background of anticipations, genetic algorithms, and learning classifier systems. ACS2 is certainly not a revolutionary new approach but rather a consequence and long awaited necessity in the research areas of anticipations, adaptive behavior, reinforcement learning, and learning classifier systems. The background section provides insights about what led to the consequent development of ACS2 and introduces all ideas relevant to the system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer Science+Business Media New York

About this chapter

Cite this chapter

Butz, M.V. (2002). Background. In: Anticipatory Learning Classifier Systems. Genetic Algorithms and Evolutionary Computation, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0891-5_1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-0891-5_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5290-7

  • Online ISBN: 978-1-4615-0891-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics