Human gaming tactics draw analogies from the physical world to hide the underlying complexity (chunking), and enable the players to think at a higher level. AlphaGo isnt limited(?) by physical world analogies.
The limitations of backpropagation learning can now be overcome by using multilayer neural networks that contain top-down connections and training them to /generate/ sensory data rather than to classify it. (...) much better than previous approaches