The name "Monte Carlo" strongly seems to suggest, that randomness it at the core of the method. And randomness does play a role. But what really happend in the shift to MC, was that bots didn't try to evaluate intermediate positions anymore. Instead, all game knowledge was put into selecting candidate moves. It turns out, that, for bots, it's much easier to suggest promising moves, than to say who is ahead in an ongoing game. The tree of possible go games is so vast, that trying to explore it with pure randomness fails. Even with statistical feedback. It's already a minor miracle, that it works as well as it does with good move generators.
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