GNUGo has Monte Carlo method already implemented (Along with being an expert system).If you want to base your work on GNUGo, the to do list is a great place to start with.
If you are planning to do AI around go, I suggest you get a very raw implementation of GO bot. There's the wikibook on it.Then you can add your own modules. Proving results is a bit tricky in GO implementation.True, there are servers for competing, but it takes a lot of time.So, first be clear on how the results will be shown. On Thu, Aug 9, 2012 at 6:49 PM, Petri Pitkanen <petri.t.pitka...@gmail.com>wrote: > reading the documentation would have answered your question. But Gnu is > largely an expert system. Obviously go needs tree search for local > skirmishes as well > > br, > Petri > > > 2012/8/8 Erick Morales <eri...@hotmail.co.jp> > >> Good day, >> >> I'm right now working in my thesis work to obtain the title of "system >> engineer", so I'm have interest on doing some AI around go. >> >> I am thinking in using swarm intelligence. >> >> So, I will appreciate any help about how GNUGo works, for example, ¿Do >> you use Monte Carlo Method? if not, Artificial Neural Networks? >> >> Thanks! >> >> ______________________________**_________________ >> gnugo-devel mailing list >> gnugo-devel@gnu.org >> https://lists.gnu.org/mailman/**listinfo/gnugo-devel<https://lists.gnu.org/mailman/listinfo/gnugo-devel> >> > > > _______________________________________________ > gnugo-devel mailing list > gnugo-devel@gnu.org > https://lists.gnu.org/mailman/listinfo/gnugo-devel > > -- Shreya
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