That would be exciting seeing your team get involved with this Monte
Carlo stuff,  especially since you have some previous experience with
this.  

- Don
 

David Doshay wrote:
> I have been interested in monte-carlo approaches to Go since running
> my first MC simulations in magnetic phase transitions when I was in
> graduate school in the 1980's. What held me back, even when the latest
> crop of MC programs started winning against older stronger programs
> and my program SlugGo, is that in the physics simulations we know on
> theoretical grounds what the shape of the random distributions are, but
> in Go we do not. I was amazed at how well UCT helps get around the
> problem and still allows the use of nearly flat random distributions
> (flat except for a few hand tuned rules).
>
> Recent work on the ELO ratings of patterns comes very close to what I
> think is needed to move forward, and we are also working on ways to
> determine biased probability distributions that are appropriate for Go
> move selection.
>
> I have little doubt that such "weighted playout" (not really heavy or
> light)
> considerations will lead to the next major step in computer Go progress.
> The advantage of such a method is that it intrinsically matches the basic
> premise of MC: the right degree of randomness allows you to search the
> problem space appropriately.
>
> Cheers,
> David
>
>
>
> On 8, Jan 2008, at 11:04 AM, Don Dailey wrote:
>
>> I think Dave Hillis coined this term "heavy playouts."
>>
>> In the first programs the play-outs were uniformly random.   Any move
>> would get played with equal likelihood with the exception of eye-filling
>> moves which don't get played at all of course.
>>
>> But it was found that the program improves if the play-outs are somewhat
>> "managed".   So Dave starting calling the original formula "light
>> play-outs" and the slower but better method "heavy play-outs."
>>
>> And yes, it slows down the play-outs.   Still, the play-outs seem to
>> require a good bit of randomness - certainly they cannot be
>> deterministic and it seems difficult to find the general principles that
>> are important to the play-out policy.
>>
>> - Don
>
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