[Computer-go] AMAF/RAVE + heavy playouts - is it save?

[Stefan Kaitschick]

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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