I wasn’t as precise as I should have been. By “mutual information”, I mean “mutual information conditional on yourself”. (Normally, “yourself” is part of the background knowledge predicating any probability and not explicitly represented.) So, as per the rest of my comment, the kind of mutual information I meant is well defined here: Physical process R implements computation C if and to the extent that, given yourself, learning R tells you something about C.
Vague and doesn’t seem relevant. What is the sample space, what are the mappings? Conditioning means restricting to a subset of the sample space, and seeing how the mappings from the probability measure defined on it redraw the probability distributions on the variables’ domains. You still need those mappings, it’s what relates different variables to each other.
Vague and doesn’t seem relevant. What is the sample space, what are the mappings? Conditioning means restricting to a subset of the sample space, and seeing how the mappings from the probability measure defined on it redraw the probability distributions on the variables’ domains. You still need those mappings, it’s what relates different variables to each other.