Unless you can solve the position, maximizing the score involves risk.
Strong players tend to avoid unnecessary risk.

Erik
Op 17 nov. 2015 21:06 schreef "Álvaro Begué" <alvaro.be...@gmail.com>:

> I wouldn't say they are "not compatible", since the move that maximizes
> score is always in the top class (win>draw>loss) for any setting of komi.
> You probably mean it in a practical sense, in that MCTS engines are
> stronger when maximizing win probability.
>
> I am more interested in attempting to maximize score, even if the engine
> is significantly weaker. Of course this is not what most people want, so I
> understand I am looking for something unusual.
>
>
> Álvaro.
>
>
> On Tue, Nov 17, 2015 at 2:58 PM, David Fotland <fotl...@smart-games.com>
> wrote:
>
>> Attempting to maximize the score is not compatible with being a strong
>> engine.  If you want a dan level engine it is maximizing win-probability.
>>
>> David
>>
>> > -----Original Message-----
>> > From: Computer-go [mailto:computer-go-boun...@computer-go.org] On
>> Behalf Of
>> > Darren Cook
>> > Sent: Tuesday, November 17, 2015 6:49 AM
>> > To: computer-go@computer-go.org
>> > Subject: Re: [Computer-go] Strong engine that maximizes score
>> >
>> > > I am trying to create a database of games to do some machine-learning
>> > > experiments. My requirements are:
>> > >  * that all games be played by the same strong engine on both sides,
>> > >  * that all games be played to the bitter end (so everything on the
>> > > board is alive at the end), and
>> > >  * that both sides play trying to maximize score, not winning
>> probability.
>> >
>> > GnuGo might fit the bill, for some definition of strong. Or Many Faces,
>> on
>> > the level that does not use MCTS.
>> >
>> > Sticking with MCTS, you'd have to use komi adjustments: first find two
>> > extreme values that give each side a win, then use a binary-search-like
>> > algorithm to narrow it down until you find the correct value for komi
>> for
>> > that position. This will take approx 10 times longer than normal MCTS,
>> for
>> > the same strength level.
>> >
>> > (I'm not sure if this is what Pachi is doing?)
>> >
>> > Darren
>> >
>> > _______________________________________________
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>> > Computer-go@computer-go.org
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>>
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>
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