Complexity and Axiomatization
Joseph Yehuda Halpern · The MIT Press eBooks · 2016
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.