SV: [computer-go] Score estimating

["Ulla & Kjeld" <ulla_kjeld@xxxxxxxxxxxxxxxxx>]

Well score estimation is one of the key issue about making a computer
program that will play Go at a good level.

I'm working on some ideas on how to calculate the score.

My idea is that you divide the score by the numbers of stones. This give you
a rate of how much every stone was worth. This can be any real number, but
mostly it will come around 0.5 to 1 (best guess, could be found by
calculating some games)

I would think that the value/stone in the game goes up and down as the game
gones on. In the beginning a stone will be about 5-15 point worth, but later
it will only be 0 to 2 point worth. (could also be negative if you make bad
moves)

But if is possible to calculate the rate between score and the number of
stone at the end of the game, I think it should be possible to do it
halfways in the game too.

The rate of a stone is put together from the number of stones around the
stone and number of free points also.

But so far, I have not made a complete algorithem.

KjP

-----Oprindelig meddelelse-----
Fra: computer-go-bounces@xxxxxxxxxxxxxxxxx
[mailto:computer-go-bounces@xxxxxxxxxxxxxxxxx]Pa vegne af Alejandro Lujan
Sendt: 7. august 2004 20:48
Til: computer-go@xxxxxxxxxxxxxxxxx
Emne: [computer-go] Score estimating


I am developing my thesis on evolving neural networks to play go, but
currently
Im having a problem with score estimating.  I am reusing part of a code
already
done, but when comparing to the estimations made by gnugo, my algorithm
gives
scores too far away from it on more than 50% cases.

What good score estimating algorithms are out there that I can use? Finding
an
open source code would be a blessing...

thanks



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