Re: [computer-go] Poster available

["Weimin Xiao" <weiminxiao@xxxxxxxxxxx>]

Thanks, Peter.

For the second question, I mean when your system is learning, do you also
learn other symmetrical positions, or remove symmetrical positions to reduce
the size of the generalized neural network?

Weimin

----- Original Message ----- 
From: "Peter Drake" <drake@xxxxxxxxxxxxxxxxx>
To: "computer-go" <computer-go@xxxxxxxxxxxxxxxxx>
Sent: Wednesday, October 29, 2003 6:11 PM
Subject: Re: [computer-go] Poster available


On Wednesday, October 29, 2003, at 03:55  PM, Weimin Xiao wrote:

> Peter,
>
> Would you like to talk a little bit more on,
> 1. How do you set input parameters to your generalized neural network?
> E.g.,
> is one parameter for one position such as Black = 1, Empty = 0, and
> White
> = -1; or two parameters for one position as Black = {0, 1}, Empty =
> {0, 0},
> and White = {0, 1}.

The latter.

> 2. How do you deal with symmetric as a GO board always has 8
> symmetrical
> configuration?

We always inverted the board so that it was white's turn to move.

I had some code for rotation and reflection, but it was causing trouble
so I commented it out.  I think Jim Levenick had a little more luck
with this.

Peter Drake
Assistant Professor of Computer Science
Lewis & Clark College
http://www.lclark.edu/~drake/
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