There’s some recent work in the statistics literature exploring similar ideas. I don’t know if you’re aware of this, or if it’s really relevant to what you’re doing (I haven’t thought a lot about the comparisons yet), but here are some papers.
It is indeed relevant, I’ll probably have a review of the Beckers & Halpern paper at some point (as well as their more recent extension). I’m working on essentially the same problem as them. Also thanks for the link to the Chalukpa-Perona-Eberhardt paper, I hadn’t seen that one yet.
There’s some recent work in the statistics literature exploring similar ideas. I don’t know if you’re aware of this, or if it’s really relevant to what you’re doing (I haven’t thought a lot about the comparisons yet), but here are some papers.
Beckers-Halpern, Abstracting Causal Models
Chalukpa-Perona-Eberhardt, Visual Causal Feature Learning
Rubenstein et al, Causal consistency of structural equation models
It is indeed relevant, I’ll probably have a review of the Beckers & Halpern paper at some point (as well as their more recent extension). I’m working on essentially the same problem as them. Also thanks for the link to the Chalukpa-Perona-Eberhardt paper, I hadn’t seen that one yet.
Yeah, but writing a sequence seems more fun than doing a literature review.