[ChuckMcM]

I like to think of this as level 2 systems analysis. It is implied in some of Feynman's papers on computation as well.

It gets even more interesting (to me) when you consider semantic entanglement of data in non-platonic spaces. When you treat 'time to data access' as a fourth dimension and the state transition vector of an algorithm as the path one can show that Ft(O(path(n))) (Ft being the function that converts the complexity of a path into the time such a path takes to transit) for some arbitrary n is rather difficult to nail down. It can also pop out the result that the lowest complexity path(algorithm) is not faster than a high complexity path(algorithm) if the entangled elements(data) are in a slow space. Crazy I know but it is a pretty straight forward path from Amdahl's law to this sort of analysis.