Re: [SPAM] [computer-go] MoGo Zones

2009-10-26 Thread Olivier Teytaud
  (Sylvain et al. 2006) describes the use of CFG-based zones in random
 simulations to simulate only the local position and tune the score based
 on few thousands of simulations of outside of the zone. It doesn't seem
 the idea is too practical (especially with RAVE, but there seem to be
 more problems), but I'm wondering if MoGo or anyone is still using it,
 perhaps in a modified form?


Not like that in Mogo. We have some local tool for heavy playouts which use
local simulations, but for the moment this version is weaker than the light
playout - even with fixed number of simulations.

Best regards,
Olivier
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[computer-go] Re: MoGo Zones

2009-10-26 Thread Hideki Kato
Hi Pasky,

Petr Baudis: 20091024070008.gh6...@machine.or.cz:
  Hi!

  (Sylvain et al. 2006) describes the use of CFG-based zones in random
simulations to simulate only the local position and tune the score based
on few thousands of simulations of outside of the zone. It doesn't seem
the idea is too practical (especially with RAVE, but there seem to be
more problems), but I'm wondering if MoGo or anyone is still using it,
perhaps in a modified form?

When I translated that paper to Japanese almost three years ago, 
Sylvain answered to my question that MoGo didn't use such zones any 
more.

FudoGo uses CFG-based move generator but zones.

Hideki
--
g...@nue.ci.i.u-tokyo.ac.jp (Kato)
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[computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Olivier Teytaud
Dear all,

 For information, our Taiwanese partners(**) for a ANR grant have organized
public demonstration games between

MoGoTW (based on MoGo 4.86.Soissons + the TW modifications developped
jointly with our Taiwanese colleagues)
 and
C.-H. Chou 9P, top pro player winner of the LG Cup 2007.

This was during a press conference at Taipei around a French-Taiwanese grant
for joint research.

Details:
a) MoGoTW was running on 32 quad-cores(*) in Taiwan.
b) There were two blitz games (15 minutes per side), won by the pro.
c) There was one non-blitz game (45 minutes per side). MoGo was unlucky
  as it was black, but it nonetheless won the game. This game is
enclosed.
 All games can be found on KGS (account nutngo)

Remarks:

a) Fuego won as white against a 9P a few months ago. Therefore computers
have won both as white and black against top players :-)  We now should
win on a complete game like 4 out of 7 games and the job would be
completly done for 9x9 Go :-)

b) MoGo already won a game as black, against Catalin Taranu, but I guess
   the pro, at that time, had played an original opening somehow for fun
   (I'm not sure of that, however).

c) My feeling is that blitz games are not favorable to computers...
Statistics
are in accordance with this I guess. Humans are stronger for short time
settings.

d) If I understand well, MoGo won a final semeai in the upper right part.
But,
   nearly everybody on this mailing (except you, Sylvain, maybe, if you
still
   read this mailing-list :-) ?) reads go games better than me, so don't
trust this
   comment :-)

e) The game was longer than most important games I've seen (59 moves).

All comments welcome.

Best regards
Olivier

(*) mogoTW was supposed to run on this 32x4 system, but other platforms were
prepared in case of trouble on this cluster. I'll publish a correction if I
see that the game was not played on this machine.

(**) contributors include all the mogo-people, plus Mei-Hui Wang,
Chang-Shing Lee, Shi-Jim Yen, and people that I only know by their nicknames
(Coldmilk, TomTom...) - sorry for the people I've forgotten, names in
Chinese are difficult for me :-)


20091026-1-Zhou vs. MoGoTW9X9.sgf
Description: application/go-sgf
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Re: [computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Richard J. Lorentz
How things changes. You would never hear a comment like Remark c) below 
concerning the old alpha-beta chess engines.



Olivier Teytaud wrote:


Dear all,

 For information, our Taiwanese partners(**) for a ANR grant have 
organized public demonstration games between


MoGoTW (based on MoGo 4.86.Soissons + the TW modifications developped
jointly with our Taiwanese colleagues)
 and
C.-H. Chou 9P, top pro player winner of the LG Cup 2007.

This was during a press conference at Taipei around a French-Taiwanese 
grant for joint research.


Details:
a) MoGoTW was running on 32 quad-cores(*) in Taiwan.
b) There were two blitz games (15 minutes per side), won by the pro.
c) There was one non-blitz game (45 minutes per side). MoGo was unlucky
  as it was black, but it nonetheless won the game. This game is 
enclosed.

 All games can be found on KGS (account nutngo)

Remarks:

a) Fuego won as white against a 9P a few months ago. Therefore computers
have won both as white and black against top players :-)  We now should
win on a complete game like 4 out of 7 games and the job would be
completly done for 9x9 Go :-)

b) MoGo already won a game as black, against Catalin Taranu, but I guess
   the pro, at that time, had played an original opening somehow for fun
   (I'm not sure of that, however).

c) My feeling is that blitz games are not favorable to computers... 
Statistics
are in accordance with this I guess. Humans are stronger for short 
time

settings.

d) If I understand well, MoGo won a final semeai in the upper right 
part. But,
   nearly everybody on this mailing (except you, Sylvain, maybe, if 
you still
   read this mailing-list :-) ?) reads go games better than me, so 
don't trust this

   comment :-)

e) The game was longer than most important games I've seen (59 moves).

All comments welcome.

Best regards
Olivier

(*) mogoTW was supposed to run on this 32x4 system, but other 
platforms were prepared in case of trouble on this cluster. I'll 
publish a correction if I see that the game was not played on this 
machine.


(**) contributors include all the mogo-people, plus Mei-Hui Wang, 
Chang-Shing Lee, Shi-Jim Yen, and people that I only know by their 
nicknames (Coldmilk, TomTom...) - sorry for the people I've forgotten, 
names in Chinese are difficult for me :-)



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Re: [computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Petr Baudis
Hi!

On Mon, Oct 26, 2009 at 07:19:45PM +0100, Olivier Teytaud wrote:
  For information, our Taiwanese partners(**) for a ANR grant have organized
 public demonstration games between

Thanks for the information!

 MoGoTW (based on MoGo 4.86.Soissons + the TW modifications developped
 jointly with our Taiwanese colleagues)
  and
 C.-H. Chou 9P, top pro player winner of the LG Cup 2007.

Could you give us at least a general picture of improvements compared to
what was last published as www.lri.fr/~teytaud/eg.pdf ? Is it just
further tuning and small tweaks or are you trying out some exciting new
things? ;-)

 c) My feeling is that blitz games are not favorable to computers...
 Statistics
 are in accordance with this I guess. Humans are stronger for short time
 settings.

Maybe in high-level 9x9 games that's true, but as a general statement
I'd dispute this, at least in watching 5k-1k-level 19x19 MCTS games on
KGS I got a completely different impression; humans are much more

-- 
Petr Pasky Baudis
A lot of people have my books on their bookshelves.
That's the problem, they need to read them. -- Don Knuth
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Re: [computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Don Dailey
2009/10/26 Richard J. Lorentz lore...@csun.edu

  How things changes. You would never hear a comment like Remark c) below
 concerning the old alpha-beta chess engines.


Yes,  this group does not have a consensus at all on this.   On the one hand
we hear that MCTS has reached a dead end and there is no benefit from extra
CPU power, and on the other hand we have these developers hustling around
for the biggest machines they can muster in order to play matches with
humans!  And Olivier claims that computers benefit more from additional
thinking time than humans!


- Don




 Olivier Teytaud wrote:


 Dear all,

  For information, our Taiwanese partners(**) for a ANR grant have organized
 public demonstration games between

 MoGoTW (based on MoGo 4.86.Soissons + the TW modifications developped
 jointly with our Taiwanese colleagues)
  and
 C.-H. Chou 9P, top pro player winner of the LG Cup 2007.

 This was during a press conference at Taipei around a French-Taiwanese
 grant for joint research.

 Details:
 a) MoGoTW was running on 32 quad-cores(*) in Taiwan.
 b) There were two blitz games (15 minutes per side), won by the pro.
 c) There was one non-blitz game (45 minutes per side). MoGo was unlucky
   as it was black, but it nonetheless won the game. This game is
 enclosed.
  All games can be found on KGS (account nutngo)

 Remarks:

 a) Fuego won as white against a 9P a few months ago. Therefore computers
 have won both as white and black against top players :-)  We now should
 win on a complete game like 4 out of 7 games and the job would be
 completly done for 9x9 Go :-)

 b) MoGo already won a game as black, against Catalin Taranu, but I guess
the pro, at that time, had played an original opening somehow for fun
(I'm not sure of that, however).

 c) My feeling is that blitz games are not favorable to computers...
 Statistics
 are in accordance with this I guess. Humans are stronger for short time
 settings.

 d) If I understand well, MoGo won a final semeai in the upper right part.
 But,
nearly everybody on this mailing (except you, Sylvain, maybe, if you
 still
read this mailing-list :-) ?) reads go games better than me, so don't
 trust this
comment :-)

 e) The game was longer than most important games I've seen (59 moves).

 All comments welcome.

 Best regards
 Olivier

 (*) mogoTW was supposed to run on this 32x4 system, but other platforms
 were prepared in case of trouble on this cluster. I'll publish a correction
 if I see that the game was not played on this machine.

 (**) contributors include all the mogo-people, plus Mei-Hui Wang,
 Chang-Shing Lee, Shi-Jim Yen, and people that I only know by their nicknames
 (Coldmilk, TomTom...) - sorry for the people I've forgotten, names in
 Chinese are difficult for me :-)

 --

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Re: [computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Don Dailey
Peter,   did your comment get cut off?

Anyway,  I agree with you on this.   Humans are not stronger on short time
settings.  I believe that SOME humans could be better if they have a
problem staying interested for a longer period of time and the longer time
control upsets their rhythm or something.   But I don't believe it's a
general rule.

I did know a chess player who was a weak expert and all he did was play
speed chess all day long.   In tournaments with long time controls, he still
played speed chess.   It was crazy,  finishing his games after only having
used 5 or 10 minutes. He claimed that he did not need longer to think
because he was always sure the move he played was the best.   Of course this
is completely ridiculous since he was hundreds of ELO below the best human
players and even further from perfect play.

- Don



On Mon, Oct 26, 2009 at 3:58 PM, Petr Baudis pa...@ucw.cz wrote:

 Hi!

 On Mon, Oct 26, 2009 at 07:19:45PM +0100, Olivier Teytaud wrote:
   For information, our Taiwanese partners(**) for a ANR grant have
 organized
  public demonstration games between

 Thanks for the information!

  MoGoTW (based on MoGo 4.86.Soissons + the TW modifications developped
  jointly with our Taiwanese colleagues)
   and
  C.-H. Chou 9P, top pro player winner of the LG Cup 2007.

 Could you give us at least a general picture of improvements compared to
 what was last published as 
 www.lri.fr/~teytaud/eg.pdfhttp://www.lri.fr/%7Eteytaud/eg.pdf? Is it just
 further tuning and small tweaks or are you trying out some exciting new
 things? ;-)

  c) My feeling is that blitz games are not favorable to computers...
  Statistics
  are in accordance with this I guess. Humans are stronger for short
 time
  settings.

 Maybe in high-level 9x9 games that's true, but as a general statement
 I'd dispute this, at least in watching 5k-1k-level 19x19 MCTS games on
 KGS I got a completely different impression; humans are much more

 --
Petr Pasky Baudis
 A lot of people have my books on their bookshelves.
 That's the problem, they need to read them. -- Don Knuth
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Re: [computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Petr Baudis
On Mon, Oct 26, 2009 at 04:20:24PM -0400, Don Dailey wrote:
 Peter,   did your comment get cut off?

Oops, indeed. Prone to tactical mistakes in high time pressure is what
I meant to say.

 Anyway,  I agree with you on this.   Humans are not stronger on short time
 settings.  I believe that SOME humans could be better if they have a
 problem staying interested for a longer period of time and the longer time
 control upsets their rhythm or something.   But I don't believe it's a
 general rule.

Well, of course most humans play better with more time, the question is
whether they or the computer gain more from the extra time.

And I think while between, let's say 30s/move and 10min/move the curve
of such advantage could be pretty straight, I think it would behave
quite differently at the extreme ends.

-- 
Petr Pasky Baudis
A lot of people have my books on their bookshelves.
That's the problem, they need to read them. -- Don Knuth
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[computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Martin Mueller

Congratulations Olivier and the MoGo team! Good job!
Now let us know the secrets of MoGoTW :)

Did you get pro commentary on the game?

Martin
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Re: [computer-go] OT: AI article I found interesting

2009-10-26 Thread Mark Boon
2009/10/24 Dave Dyer dd...@real-me.net:
 At 10:12 AM 10/24/2009, Joshua Shriver wrote:

 Came across this today, and since this is also an AI oriented list thought
 some of you might enjoy it too.

 http://www.techradar.com/news/world-of-tech/future-tech/the-past-present-and-future-of-ai-643838

 I won't believe it even if I see it.  Google Mechanical Turk


I heard about this a few months ago. My first thought was similar,
seeing is believing. From what I read about it it's a system only
built to play Jeopardy and specifically tailored to produce answers in
this fashion. So that narrows the scope quite a bit from actual
natural language understanding. And this article's author either
didn't understand it or is being disingenuous. Because it was built to
play Jeopardy from the start, it's not at all that its language
understanding is so good they decided to let it play the game to see
how well it would do. This kind of twisting of the truth just raises
more doubts with me.

Having said all that, if the program can do even remotely what they
claim it can do it would already be a big advancement. It just so
happens I'm allergic to hype.

The article also mentions Jabberwacky. For my project I have looked at
quite a few chat-bots, including Jabberwacky. I didn't feel it stood
out from all the other main ones. And all have a very artificial feel
a few sentences into a conversation. We have a custom-made chat-bot
that was made by Bruce Wilcox (yes, the world is small) and I think
it's on par with the most famous ones. It suffers from the same
shortcomings in that it doesn't really understand what it's talking
about. Humans can be fooled by them for a little bit, but it soon
becomes very artificial because of a lack of understanding and lack of
the most basic logic.

Progress is being made. But very, very slowly. Where it says The
Watson project isn't a million miles from the fictional HAL project
I'm afraid that is not a million miles indeed but a billion miles.

Mark
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Re: [computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Mark Boon
2009/10/26 Don Dailey dailey@gmail.com:


 2009/10/26 Richard J. Lorentz lore...@csun.edu

 Yes,  this group does not have a consensus at all on this.   On the one hand
 we hear that MCTS has reached a dead end and there is no benefit from extra
 CPU power, and on the other hand we have these developers hustling around
 for the biggest machines they can muster in order to play matches with
 humans!  And Olivier claims that computers benefit more from additional
 thinking time than humans!


Well, we had this discussion a while back on this list. I (and some
others) argued that humans play fast extremely well and that more time
provides a rapidly decreasing benefit. If I remember well it was you
who was arguing this not being the case and that pros benefit greatly
with more time. So it seems we're starting to see some support for the
argument that at least in Go professional players don't benefit as
much from more time than computers do at the moment.

Mark
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Re: [computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Don Dailey
Yes, you understood me right.   I disagree with Olivier on this one.To
me it is self-evident that humans are more scalable than computers because
we have better heuristics.   When that is not true it is usually because the
task is trivial, not because it is hard.

- Don


On Mon, Oct 26, 2009 at 6:14 PM, Mark Boon tesujisoftw...@gmail.com wrote:

 2009/10/26 Don Dailey dailey@gmail.com:
 
 
  2009/10/26 Richard J. Lorentz lore...@csun.edu
 
  Yes,  this group does not have a consensus at all on this.   On the one
 hand
  we hear that MCTS has reached a dead end and there is no benefit from
 extra
  CPU power, and on the other hand we have these developers hustling around
  for the biggest machines they can muster in order to play matches with
  humans!  And Olivier claims that computers benefit more from
 additional
  thinking time than humans!
 

 Well, we had this discussion a while back on this list. I (and some
 others) argued that humans play fast extremely well and that more time
 provides a rapidly decreasing benefit. If I remember well it was you
 who was arguing this not being the case and that pros benefit greatly
 with more time. So it seems we're starting to see some support for the
 argument that at least in Go professional players don't benefit as
 much from more time than computers do at the moment.

 Mark
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Re: [computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread Mark Boon
2009/10/26 Don Dailey dailey@gmail.com:
 Yes, you understood me right.   I disagree with Olivier on this one.    To
 me it is self-evident that humans are more scalable than computers because
 we have better heuristics.   When that is not true it is usually because the
 task is trivial, not because it is hard.


Personally I rather think that what makes a human good at certain
tasks is not necessarily a conscious effort, and that doesn't have to
be a trivial task. So then actively thinking longer doesn't help as
much because you lack the control over the thought-process. I believe
very much that Go falls in that category, where Chess does not.

Mark
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RE: [computer-go] First ever win of a computer against a pro 9P as black (game of Go, 9x9).

2009-10-26 Thread David Fotland
Congratulations.  Can you put it on cgos 9x9 so we can see what cgos rating
it takes to beat a pro?  Maybe zen can return at the same time so we can get
a comparison.

 

David

 

From: computer-go-boun...@computer-go.org
[mailto:computer-go-boun...@computer-go.org] On Behalf Of Olivier Teytaud
Sent: Monday, October 26, 2009 11:20 AM
To: computer-go
Subject: [computer-go] First ever win of a computer against a pro 9P as
black (game of Go, 9x9).

 


Dear all,

 For information, our Taiwanese partners(**) for a ANR grant have organized
public demonstration games between 

MoGoTW (based on MoGo 4.86.Soissons + the TW modifications developped 
jointly with our Taiwanese colleagues) 
 and 
C.-H. Chou 9P, top pro player winner of the LG Cup 2007. 

This was during a press conference at Taipei around a French-Taiwanese grant
for joint research.

Details:
a) MoGoTW was running on 32 quad-cores(*) in Taiwan.
b) There were two blitz games (15 minutes per side), won by the pro.
c) There was one non-blitz game (45 minutes per side). MoGo was unlucky 
  as it was black, but it nonetheless won the game. This game is
enclosed. 
 All games can be found on KGS (account nutngo)

Remarks: 

a) Fuego won as white against a 9P a few months ago. Therefore computers 
have won both as white and black against top players :-)  We now should 
win on a complete game like 4 out of 7 games and the job would be 
completly done for 9x9 Go :-)

b) MoGo already won a game as black, against Catalin Taranu, but I guess 
   the pro, at that time, had played an original opening somehow for fun 
   (I'm not sure of that, however).

c) My feeling is that blitz games are not favorable to computers...
Statistics 
are in accordance with this I guess. Humans are stronger for short time
settings.

d) If I understand well, MoGo won a final semeai in the upper right part.
But, 
   nearly everybody on this mailing (except you, Sylvain, maybe, if you
still 
   read this mailing-list :-) ?) reads go games better than me, so don't
trust this 
   comment :-)

e) The game was longer than most important games I've seen (59 moves).

All comments welcome.

Best regards
Olivier

(*) mogoTW was supposed to run on this 32x4 system, but other platforms were
prepared in case of trouble on this cluster. I'll publish a correction if I
see that the game was not played on this machine.

(**) contributors include all the mogo-people, plus Mei-Hui Wang,
Chang-Shing Lee, Shi-Jim Yen, and people that I only know by their nicknames
(Coldmilk, TomTom...) - sorry for the people I've forgotten, names in
Chinese are difficult for me :-)

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