Hi Marc,

"but did not find a "solution" for Lee Sedol that broke AlphaGos position"
-- this is not true. Ke Jie and Gu Li both found more than one way to break
the position :)

On Sun, Mar 13, 2016 at 5:26 AM, Marc Landgraf <mahrgel...@gmail.com> wrote:

> What is the most interesting part is, that at this point many pro
> commentators found a lot of aji, but did not find a "solution" for Lee
> Sedol that broke AlphaGos position. So the question remains: Did
> AlphaGo find a hole in it's own position and tried to dodge that? Was
> it too strong for its own good? Or was it a misevaluation due to the
> immense amounts of aji, which would not result in harm, if played
> properly?
>
>
> 2016-03-13 9:54 GMT+01:00 Darren Cook <dar...@dcook.org>:
> > From Demis Hassabis:
> >   When I say 'thought' and 'realisation' I just mean the output of
> >   #AlphaGo value net. It was around 70% at move 79 and then dived
> >   on move 87
> >
> >   https://twitter.com/demishassabis/status/708934687926804482
> >
> > Assuming that is an MCTS estimate of winning probability, that 70%
> > sounds high (i.e. very confident); when I was doing the computer-human
> > team experiments, on 9x9, with three MCTS programs, I generally knew I'd
> > found a winning move when the percentages moved from the 48-52% range
> > to, say, 55%.
> >
> > I really hope they reveal the win estimates for each move of the 5
> > games. It will especially be interesting to then compare that to the
> > other leading MCTS programs.
> >
> > Darren
> >
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