Hi Nick,

Thanks for replying!

So what decides who has won? Let's say, the search is to the "end" (which,
I agree, is a vague definition) and both players all pass. In this
situation, I'm given a board with stones, how do I decide who has won?

w.r.t. search.... My intuitive thinking (again, I have not done any work
before) suggests that most people here grows a search tree, At the tip of
the search tree, the leaf, is a board with some stones. I assume we need to
score this leaf to decide black or white is in favor, right? So my original
question is actually: how do you decide a board with some stones is in
favor for black or for white, do you give +1, -1, or a number within a
range?

Sorry to repeat myself, hopefully this is a little bit clear?

The intention to my questions is to getting some reading materials to get
me started.

Thank you,
Chun


On Fri, Mar 29, 2013 at 3:03 PM, Nick Wedd <[email protected]> wrote:

> On 29/03/2013 18:08, Chun Sun wrote:
>
>> Hi all,
>>
>> I'm very new to this area. Actually, just subscribed.
>>
>> I'm seeing a lot of Monte-Carlo search related algorithms being
>> discussed here and previously and this is all great! However, I can't
>> help wondering what evaluation function do you use in the end?
>>
>
> Unless I have totally understood "Monte-Carlo" ... "in the end" means
> "after both players have passed", and the evaluation function is who
> has won.
>
> Nick
>
>
>> All I know available is gnugo's score estimate.
>>
>> Do we have anything else? Any research papers on this topic?
>>
>> Thank you!
>> Chun
>>
>>
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>>
>
> --
> Nick Wedd
> [email protected]
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