You are absolutely right. Tony did not imply he wanted to go for the summit
today. Also, Tony's qualifications are surely a lot better than a hawaiian
shirt and a surfboard.
My analogy was an exaggeration with the intention of explaining to Tony that he
has more catching up to do than he might have expected.
By no means was my intention to put Tony down. I hope Tony understands this and
I sincerely hope that Tony won't give up on joining us in this wonderful
endeavour, because we need all the help we can get.
Best Regards,
Dave
________________________________
Van: [EMAIL PROTECTED] namens Nick Wedd
Verzonden: za 15-11-2008 15:48
Aan: computer-go
Onderwerp: Re: [computer-go] Monte carlo play
In message
<[EMAIL PROTECTED]>,
[EMAIL PROTECTED] writes
< Hawaiian shirt analogy snipped >
>I hope you don't feel offended. Indeed you took up a wonderful
>endeavour, but I sense that you're not quite ready to go for the summit
>today.
But Tony never expressed any interest in "going for the summit". Maybe
he just wants to write a simple MC implementation. Here is what he
wrote:
>I am new to programming go, could some one explain to me how a monte
>carlo based evalution manages to play random games by itself?
>ie: who/what is the oppoent which supplies the opposing moves which
>allows another move to be randomly played after making the initial move
>at the root.
>I am implementing in java, is there a package/framework which allows me
>to train my software.
I will try to answer these questions myself.
> who/what is the oppoent which supplies the opposing moves
It is the same piece of your program that supplies your own moves. For
each "random game" or "rollout", your program places both black and
white stones, alternately, at random.
>is there a package/framework which allows me
>to train my software.
Nothing "trains" your software. This isn't a neural net. The way it
works is:
you write a program
A: it plays, badly
you modify it so it plays differently, and with luck, better
repeat from A
Nick
--
Nick Wedd [EMAIL PROTECTED]
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