[EMAIL PROTECTED]:~/Desktop/test_package$ file autotest
autotest: ELF 32-bit LSB executable, Intel 80386, version 1 (SYSV), for
GNU/Linux 2.6.9, dynamically linked (uses shared libs), stripped
Don,
a) if you release the source for autotest, I could compile a 64-bit executable,
or
b) perhaps you could compile a statically-linked version of autotest
Btw, I am at the Oza 2008 tournament in Los Angeles -- if any of you happen to
be attending, say "hi."
Terry McIntyre <[EMAIL PROTECTED]>
“Wherever is found what is called a paternal government, there is found state
education. It has been discovered that the best way to insure implicit
obedience is to commence tyranny in the nursery.”
Benjamin Disraeli, Speech in the House of Commons [June 15, 1874]
----- Original Message ----
From: Don Dailey <[EMAIL PROTECTED]>
To: computer-go <[email protected]>
Sent: Sunday, January 20, 2008 5:45:30 AM
Subject: Re: [computer-go] New scalability study progress report
Tom Cooper wrote:
> This is very cool. As of 261 games played, I find it very difficult
to
> guess whether the mogo curve is beginning to dramatically flatten, or
> will continue to rise steeply.
>
> I have a few questions.
>
> I can't see the cross table, I guess you haven't put it up yet?
I intend to put it up, but I have do a little bit of scripting to make
it possible.
>
> How do you decide the pairings? I think more even pairings would be
> more informative, and lead to faster convergence, but I suppose you
> don't just want bots playing adjacent bots?
>
I use an algorithm similar to CGOS. The idea is that it's stupid to
pair Mogo_13 against Fat_man_01 and you want players to play opponents
close in rating - and yet any pairing is still possible. So in a
nutshell it's this:
1. One of the players who has played the least number of games is
selected for the next game.
2. Three players are selected at random from all players.
3. The random player closest in rating is chosen as opponent.
4. I match colors appropriately so that you will never have more than
1
more white or black against a given opponent.
> Are you going to ask for volunteers to run this script? I think it
> is more likely to give interesting results than the SETI thing.
I already have 2 volunteers but some are having troubling with
compatibility issues, even on 32 bit linux for some reason. If you
have 32 bit ubuntu it will probably work right off if it's not too many
versions behind.
If anyone wants to volunteer, it should be dirt simple, at least if you
have 32 bit ubuntu. Just let me know. The basic procedure is
just to grab my tarball, unpack it, and run a script. There is an
additional scrip to stop it so you can stop and restart at will.
Nothing else needs to be done.
- Don
>
> At 01:31 19/01/2008, Don wrote:
>
>> The new scalability study is in progress. It will be very slow
going,
>> only a few games a day can be played but we are trying to get more
>> computers utilized.
>>
>> I will update the data a few times a day for all to see. This
includes
>> a crosstable and ratings graphs. The games will be made available
for
>> anyone who wants them.
>>
>> Although it's not on the graph itself, Gnugo-3.7.11 level 10 is set
to
>> be 1800.0 ELO. The bayeselo program is used to calculate ratings.
>>
>> Results can be found here:
>>
>> http://cgos.boardspace.net/study/index.html
>>
>> bayeslo assumes all players are equal strength until significant
>> evidence proves otherwise, and with only a few games played each,
the
>> graph will look truly strange, but this will correct itself in time.
>>
>> Each data point in the x axis represent a doubling in power. There
are
>> 13 doublings represented and mogo was set to approximate FatMan in
>> strength at each point - at least at the lower level but only with a
>> very crude and rough estimate. Since I don't know how well mogo
>> scales compared to FatMan, we can only wait and see how this works
out
>> at the top levels.
>>
>> - Don
>>
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>>
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