[Computer-go] scores histogram
terry mcintyre
terrymcintyre at yahoo.com
Tue Jan 10 03:48:45 PST 2012
If a histogram is multi-modal, might it be a trigger for a meta-analysis of the situation - multiple semeai, ko fights, etc?
Terry McIntyre <terrymcintyre at yahoo.com>
Unix/Linux Systems Administration
Taking time to do it right saves having to do it twice.
>________________________________
> From: Vlad Dumitrescu <vladdu55 at gmail.com>
>To: computer-go at dvandva.org
>Sent: Tuesday, January 10, 2012 4:50 AM
>Subject: Re: [Computer-go] scores histogram
>
>Hi,
>
>I'm sure that such a simple histogram won't add much information, but
>it might hint at interesting things that can be investigated further.
>I'm still surprised that the peak of the curve seems to be at the komi
>value - my intuition regarding statistical results is usually wrong...
>
>The peak for 19x19 is at around 11 for this experiment and this might
>mean that correct komi is depending on the level of the players. For
>the dumb playouts I use, it might be 11 and for top-level play it
>could go down to around 7.
>
>Or maybe komi is the same at all levels and then the professional
>players aren't as close to perfect play as they think they are :-)
>
>Or maybe many more samples are needed to get a significant result
>(currently running 100 million playouts).
>
>regards,
>Vlad
>
>On Tue, Jan 10, 2012 at 02:12, Hideki Kato <hideki_katoh at ybb.ne.jp> wrote:
>> Hi,
>>
>> I've observed some and found there are several peaks when the positions
>> are complicated, i.e., there are multiple semeais simultaneously, for
>> examples, on 19x19. Simple statistics may not work on such positions,
>> though I've not tried any.
>>
>> Hideki
>>
>> Vlad Dumitrescu: <CAA-EFXtnEUUZf63K7Nx=4ThZnr71iiE5zt00Steyx__aEga_KA at mail.gmail.com>:
>>>Hi,
>>>
>>>This is probably very close to useless, but it might be fun in a geeky
>>>kind of way :-) It might not be novel, either.
>>>
>>>I ran some playout games without komi (with simple policies: capture
>>>atari, escape atari, simple 3x3 patterns) and plotted the distribution
>>>of scores. I thought that the top of the bell curve would be placed at
>>>the ideal komi - well, close to it, as the playouts aren't very smart.
>>>The engine I used is Orego 7.10 and its scoring functionality.
>>>
>>>For 9x9 and ten million games, the top seems to be around 7.
>>>
>>>For 19x19 I only ran one million games and the top is difficult to
>>>locate precisely, it's quite flat between 3 and 21. The middle of this
>>>interval is around 11, which feels a bit high. I plan to let it run a
>>>while longer.
>>>
>>>regards,
>>>Vlad
>>>_______________________________________________
>>>Computer-go mailing list
>>>Computer-go at dvandva.org
>>>http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
>> --
>> Hideki Kato <mailto:hideki_katoh at ybb.ne.jp>
>> _______________________________________________
>> Computer-go mailing list
>> Computer-go at dvandva.org
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>
>
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