Comment Comment by omalleyt I think there was some inevitable loss of nuance as that got translated into layman's terms.For all practical purposes, you can write causality likep(x|y) = 1 and time(y) < time(x)I.e. causality is just when one event always happens after another event. Any additional requirements for causality are basically philosophy.But typical ML systems don't construct networks of causal relations, is basically what he's getting at from my reading of it parent omalleyt 8 years ago
For all practical purposes, you can write causality like
p(x|y) = 1 and time(y) < time(x)
I.e. causality is just when one event always happens after another event. Any additional requirements for causality are basically philosophy.
But typical ML systems don't construct networks of causal relations, is basically what he's getting at from my reading of it