Today we have neural network based AI players that are comparable or better than humans in games that require extensive pattern matching and "intuition". AlphaGo is a prime example.
But these AI players usually have both neural networks and search algorithms in place. Humans, on the other hand, rely just on the pattern matching and "intuition" (even the best chess players can see just a handful of moves ahead).
So, why do AI players still require extensive search while humans don't? How would AIs like AlphaGo perform if we take the search part out?