Abstract and Keywords

Causal relationships are typically accompanied by probabilistic dependencies — normally when A causes B the former raises or lowers the probability of the latter. Probabilistic theories of causality usually try to characterize or analyse causality in terms of these probabilistic dependencies: they try to provide probabilistic criteria for deciding whether A causes B, and often maintain that causality just is the corresponding pattern of probabilistic relationships. This article provides an introduction to and criticism of such accounts. While it is argued that probabilistic theories are ultimately unsuccessful, work on probabilistic causality has shed a great deal of light on the relationship between causality and probability and hence these theories repay a thorough understanding.

Keywords: causal relationship, probabilistic theories, probabilistic dependencies, causality, probabilistic criteria, probabilistic causality

Oxford Handbooks Online requires a subscription or purchase to access the full text of titles within the service. Public users can however freely search the site and view restricted versions of this content, plus any full text content that is freely available.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us .