[computer-go] The physics of Go playing strength.
alain Baeckeroot
alain.baeckeroot at laposte.net
Sun Apr 8 00:43:43 PDT 2007
Le dimanche 8 avril 2007 03:05, Don Dailey a écrit :
> A few weeks ago I announced that I was doing a long term
> scalability study with computer go on 9x9 boards.
>
> I have constructed a graph of the results so far:
>
> http://greencheeks.homelinux.org:8015/~drd/public/study.jpg
Thanks for this interesting study.
[snip]
> Feel free to interpret the data any way you please, but here
> are my own observations:
>
> 1. Scalability is almost linear with each doubling.
>
> 2. But there appears to be a very gradual fall-off with
> time - which is what one would expect (ELO
> improvements cannot be infinite so they must be
> approaching some limit.)
Could'nt the inflexion of heavy curve also mean that the advantage of
heavy play-out disappears when the number of simulation is very high ?
With huge number of simulation the heavy player could become weaker than
the light player, due to the "wrong knowledge" introduced in the play-out.
Sadly it seems hard to test this (12-13-14) without huge computing power,
a distributed study at home, or a big amount of patience :-)
>
> 3. The heavy-playout version scales at least as well,
> if not better, than the light play-out version.
>
> (You can see the rating gap between them gradually
> increase with the number of play-outs.)
between 10 and 11 the trend changes.
Regards.
Alain
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