Better formalize hybrid of causal and mathematical inference.
I’m not convinced that there is much to be done there. Inductive inference is quite general, while causal inference involves its application to systems that change over time in a lawful manner. Are we talking about optimising inductive inference systems to preferentially deal with causal patterns?
That is similar to the “reference machine” problem—in that eventually you can expose the machine to some real-world data and then let it design its own reference machine. Hand-coding a reference machine might help with getting off the ground initially, however.
I’m not convinced that there is much to be done there. Inductive inference is quite general, while causal inference involves its application to systems that change over time in a lawful manner. Are we talking about optimising inductive inference systems to preferentially deal with causal patterns?
That is similar to the “reference machine” problem—in that eventually you can expose the machine to some real-world data and then let it design its own reference machine. Hand-coding a reference machine might help with getting off the ground initially, however.
Does anyone understand better—or have a link?