Complexity and Axiomatization
Complexity and Axiomatization
Causal models are potentially quite large and difficult to describe, especially once they include information about normality and typicality. In this chapter it is shown that it is often possible to achieve a compact representation of causal models without losing any information. In addition, a complete axiomatization of a language for reasoning about causality is provided.
Keywords: Compact representations, Complexity of determining causality, Axiomatizing causal reasoning
MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
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.
