[Computer-go] semeai example of winning rate

[Stefan Kaitschick]

on 20.01.2011 05:35, Darren Cook wrote:
> Told you I was getting passionate about this point;-). Though actually
> I wasn't even thinking so much about number of playouts, more about
> other ideas such as first spending a few seconds on static semeai or
> life-death analysis on the root position then using that information to
> influence the playouts the same way RAVE values are used.
>
> Darren

Semeais and L&D are concerned with groups, eyes, libs, connections ect. 
MCTS is concerned with winrates for moves.
The gap between them is hard to bridge. At a minimum, the "why" will be 
lost in translation.
And if the "why" is lost, it becomes impossible to reason if the 
original canditions are still met.
This is especially significant because S+L&D information would be 
propagated top-down, not botton-up like RAVE.
I think the "next generation" bots will have to manage much more complex 
information.  It will be paradise lost. :-)

Stefan