> Pearl contends that until algorithms and the machines controlled by them can reason about cause and effect, or at least conceptualize the difference, their utility and versatility will never approach that of humans.
Is not cause and effect a temporal-based acyclic directed graph with mutating state (wrt CompSci). Anyways, I think ML needs to look closer at simple cases, like sea squirts which have 8617 neurons. Try to answer how and why do they work better than some of our algorithms.
Is not cause and effect a temporal-based acyclic directed graph with mutating state (wrt CompSci). Anyways, I think ML needs to look closer at simple cases, like sea squirts which have 8617 neurons. Try to answer how and why do they work better than some of our algorithms.