title: Compact representations of extended causal models.
abstract: Judea Pearl (2000) was the first to propose a definition of actual causation using causal models. A number of authors have suggested that an adequate account of actual causation must appeal not only to causal structure but also to considerations of normality. In Halpern and Hitchcock (2011), we offer a definition of actual causation using extended causal models, which include information about both causal structure and normality. Extended causal models are potentially very complex. In this study, we show how it is possible to achieve a compact representation of extended causal models.
authors.affiliation: Computer Science Department, Cornell University, Ithaca, NY 14853, USA. halpern@cs.cornell.edu
authors.forename: Joseph Y
authors.initials: JY
authors.lastname: Halpern
authors.forename: Christopher
authors.initials: C
authors.lastname: Hitchcock
mesh_terms: D001499:Bayes Theorem; D015984:Causality; D006801:Humans; D008960:Models, Psychological
keywords: Bayesian network; Causality; Compact representation; Normal; Typical