On Sat, 2008-08-09 at 03:49 -0700, terry mcintyre wrote:
> From: David Doshay <[EMAIL PROTECTED]>
> 
> >One point not discussed much in this thread is the consistency issue.  
> >I think that if Kim were able to play a dozen games against mogo with  
> >this same handicap he would win the last 6 ... people manage to adapt  
> >and the computers do not.
> 
> >But that much cluster time and Mr Kim time are probably not available.  
> >Perhaps with all of the interest this match is generating we will be  
> >able to get more of each (or some other pro) in the future.
> 
> Unfortunately, it is not that easy to get a supercomputer. I hope that some 
> firm chooses to take this on as a challenge, the way IBM and Cray took the 
> game of Chess. As for the learning problem, now that we know how to generate 
> high-level plays which match the sophistication of high-level joseki, perhaps 
> it will be possible for computers to learn from pro-level games, including 
> those lost by the program to pros. Who's to say that a nice long post-game 
> analysis by the program could not lead to it returning with better moves?
> 
> I should mention one point: Mogo was far enough ahead that Kim estimates an 8 
> stone handicap would be tough for him to beat; perhaps a 7 stone handicap 
> would be appropriate. Interesting that Kim, though not familiar with 
> Montecarlo programs, quickly grasped that the weird-to-humans endgame play, 
> which blithely ignores the value of playing dame points under Chinese 
> scoring, provided that it preserves a 0.5 win, does not detract from the true 
> value of Mogo's lead.
> 

That does not surprise me at all.  Although not being a strong go player
myself, I've always assumed that all the fuss over not winning big would
be something that really strong players would not think as odd.   I
would think that really strong players have a better global sense of
what is really important.    After all, it seems to be one of the things
that has made this kind of major improvement possible.

- Don



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