Combining the Causal Judgments of Experts with Possibly Different Focus
  Areas
  In many real-world settings, a decision-maker must combine information
provided by different experts in order to decide on an effective policy.
Alrajeh, Chockler, and Halpern [2018] showed how to combine causal models that
are compatible in the sense that, for variables that appear in both models, the
experts agree on the causal structure. In this work we show how causal models
can be combined in cases where the experts might disagree on the causal
structure for variables that appear in both models due to having different
focus areas. We provide a new formal definition of compatibility of models in
this setting and show how compatible models can be combined. We also consider
the complexity of determining whether models are compatible. We believe that
the notions defined in this work are of direct relevance to many practical
decision making scenarios that come up in natural, social, and medical science
settings.
