in figure 6 of this paper, black has developed (but hasn't
yet used) the mother of all walls.  it's pretty funny.

s.


----- Original Message ----
From: terry mcintyre <[EMAIL PROTECTED]>
To: computer-go <computer-go@computer-go.org>
Sent: Monday, October 15, 2007 4:17:47 PM
Subject: Re: [computer-go] Opening game strategies

This may be more apropos: 

http://www.icml2006.org/icml_documents/camera-ready/110_Bayesian_Pattern_Ran.pdf

IIRC, the team attempted to match patterns all throughout the game, but had  
more success in the opening.
 

Terry McIntyre <[EMAIL PROTECTED]>
They mean to govern well; but they mean to govern. They promise to be kind 
masters; but they mean to be masters. -- Daniel Webster

----- Original Message ----
From: terry mcintyre
 <[EMAIL PROTECTED]>
To: computer-go <computer-go@computer-go.org>
Sent: Monday, October 15, 2007 12:45:14 PM
Subject: Re: [computer-go] Opening game strategies

http://stat.cs.tu-berlin.de/~ralfh/go.ps.gz


Thore Graepel, Mike Goutrie, Marco Krüger, and Ralf Herbrich used an SVM to 
predict moves from pro games; it was particularly successful for predicting 
opening moves, as I recall.

Terry McIntyre <[EMAIL PROTECTED]>
They mean to govern well; but they mean to govern. They promise to be kind 
masters; but they mean to be masters. -- Daniel Webster

----- Original Message ----
From: Erik S. Steinmetz <[EMAIL PROTECTED]>
To: computer-go <computer-go@computer-go.org>
Sent: Monday, October 15, 2007 11:53:25 AM
Subject: [computer-go] Opening game strategies

Greetings all,

I have been looking through the literature (many thanks to Markus's  
wonderful online bibliography) on existing strategies in the
 opening  
game, and have not found too many articles on the specifics outside  
of a few papers on neural net learning applied to the opening. There  
are some vague references to 'pattern matching' to generate moves,  
but no information about how those patterns and moves were created.

I am wondering if anyone knows of any attempts made to run pattern  
recognition (for example, clustering) algorithms over a library of  
games in order to learn reasonable opening moves. If so, and there  
are any papers about the success (or failures) of such an effort, I  
would really appreciate a pointer!

Many thanks in advance for any info,

All the best,

Erik Steinmetz
[EMAIL PROTECTED]
[EMAIL PROTECTED]


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