The real answer is that we don't yet know enough about how the brain works to work effectively on this problem. We don't know what questions to ask or how to break down the problem into smaller problems.
We may get there. Read something about how vision works from a century ago, when nobody had a clue. The first real progress came from "What the Frog's Eye Tells the Frog's Brain" (1959).[1] That was the beginning of understanding visual perception, and the very early days of neural network technology. Now we have lots of systems doing visual perception moderately well. There's been real progress.
(I went through Stanford CS at the peak of the 1980s expert system boom. Back then, people there were way too much into asking questions like this. "Does a rock have intentions?" was an exam question. The "AI winter" followed. AI finally got unstuck 20 years later when the machine learning people and their "shut up and calculate" approach started working.)
We may get there. Read something about how vision works from a century ago, when nobody had a clue. The first real progress came from "What the Frog's Eye Tells the Frog's Brain" (1959).[1] That was the beginning of understanding visual perception, and the very early days of neural network technology. Now we have lots of systems doing visual perception moderately well. There's been real progress.
(I went through Stanford CS at the peak of the 1980s expert system boom. Back then, people there were way too much into asking questions like this. "Does a rock have intentions?" was an exam question. The "AI winter" followed. AI finally got unstuck 20 years later when the machine learning people and their "shut up and calculate" approach started working.)
[1] https://hearingbrain.org/docs/letvin_ieee_1959.pdf