Skip to main content

Learning Causal Relations

  • Chapter
Machine Learning

Part of the book series: The Kluwer International Series in Engineering and Computer Science ((SECS,volume 12))

  • 1568 Accesses

Abstract

I briefly describe a learning system which constructs causal models of simple physical systems such as cameras, sinks, and toasters. The learning system employs both inductive and deductive inference, making use of knowledge of the forms of causal relations, and of what kinds of causal mechanisms exist.

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 219.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
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

© 1986 Kluwer Academic Publishers

About this chapter

Cite this chapter

Doyle, R.J. (1986). Learning Causal Relations. In: Machine Learning. The Kluwer International Series in Engineering and Computer Science, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2279-5_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-2279-5_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9406-1

  • Online ISBN: 978-1-4613-2279-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics