Skip to main content

Perspectives on Future Work

  • Chapter
Scalable Search in Computer Chess

Part of the book series: Computational Intelligence ((CI))

  • 151 Accesses

Abstract

The successful performance of AEL pruning demonstrates that aggressive forward pruning can actually work very well in computer chess, especially at high search depths. Moreover, even the cumulative combination of several dynamic and static forward-pruning methods need not necessarily compromise the tactical strength of the search. Hence, the quest for new successful forward-pruning techniques in computer chess looks more promising than ever. Future increases in search speed and search depth (enabled by faster machines with larger memory capacities) further add to this promise.

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer Fachmedien Wiesbaden

About this chapter

Cite this chapter

Heinz, E.A. (2000). Perspectives on Future Work. In: Scalable Search in Computer Chess. Computational Intelligence. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-90178-1_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-322-90178-1_12

  • Publisher Name: Vieweg+Teubner Verlag, Wiesbaden

  • Print ISBN: 978-3-528-05732-9

  • Online ISBN: 978-3-322-90178-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics