Re: [Bug-gnubg] Fwd: Neural Net program for For Traditional Iranian/Turkish Backgammon - from Rick Janowski

[Joseph Heled]

Hi Nikos,

This is really interesting but unfortunately not particularly useful
for me personally on two accounts. First, I do not run Windows, and
second, I can't look at the source code :)

It would have been great if you joined the GNUbg team and helped GNUbg
play those variants.

-Joseph

On 29 June 2011 23:42, Nikos Papahristou <address@hidden> wrote:
> I have trained neural networks for the Greek backgammon variants plakoto and
> fevga. It seems like neural networks can capture much of the complexity of
> these variants even with few expert features.
> You can download a program that plays these variants from my webpage:
> http://csse.uom.gr/~nikpapa/software.html
> For now, there is no help, but if you are familiar with gnubg and the rules
> of the games, you shouldn't have any problems :)
>
> You can also see the paper describing the training process in the
> publications section.
>
> Cheers,
> Nikos Papahristou
>
> On 28/6/2011 23:17, Joseph Heled wrote:
>>
>> A far more interesting and difficult task would be to go for one of
>> the other variants In my family they used to play machboosa
>> (surrounded), which is the same as the Greek Plakoto, which I find
>> strategically orders of magnitude harder. I can hardly tell if I make
>> sensible moves or not, as this is a game where you have to slow
>> yourself down usually not just a race to the line that is backgammon.
>> I even have doubts that a neural net can capture this complexity,
>> since most consequences are far ahead in the future - it is like
>> playing a backgame all the time, and we know how poor computer players
>> are at that, GNUBG especially.
>>
>>  -Joseph
>
>
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