My rejoinder to this is that, analogously to how a causal model can be re-implemented as a more complex non-causal model[2], a learning algorithm that looks at data that in some ways is saying something about causality, be it because the data contains information-decision-action-outcome units generated by agents, because the learning thing can execute actions itself and reflectively process the information of having done such actions, or because the data contains an abstract description of causality, can surely learn causality.
Short comment/feedback just to say: This sentence is making one of your main points but is very tricky! - perhaps too long/too many subclauses?
Short comment/feedback just to say: This sentence is making one of your main points but is very tricky! - perhaps too long/too many subclauses?
I had to read this sentence a few times to grok the author’s point...