Causal Inference And Causal Explanation With Background Knowledge
- Chris Meek
in Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
Published by Morgan Kaufmann | 1995 | Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU edition
This paper presents correct algorithms for answering the following two questions; (i) Does there exist a causal explanation consistent with a set of background knowledge which explains all of the observed independence facts in a sample? (ii) Given that there is such a causal explanation what are the causal relationships common to every such causal explanation?