I have a computer-go player under development that uses some of these techniques.
It's still not very far along, however. There are very significant challenges. cheers stuart On 5/16/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
>-----Original Message----- >From: [EMAIL PROTECTED] >To: [email protected] >Sent: Wed, 16 May 2007 5:08 AM >Subject: [computer-go] Idea for a strategy > >http://www.regdeveloper.co.uk/2007/05/15/google_translation/page1.html > >This is an article on statistical approaches to machine translation. > >Has anyone attempted similar with computer go? > >-- Nick > I've done a little bit of work in both fields. I think the similarities are rather striking and have often taken code written for one domain and reused it for the other. In my experience, looking at both problems together has been somewhat helpful, but not tremendously helpful. Potentially... who knows. If you like Monte Carlo go, you'll probably like Statistical Machine Translation. Anyway, here is a link to a remarkably well written description that tells you how it works and how to do it. IIRC it made quite an impact when it first came out. http://www.isi.edu/natural-language/mt/wkbk.rtf Dave Hillis ________________________________ Check Out the new free AIM(R) Mail -- 2 GB of storage and industry-leading spam and email virus protection. _______________________________________________ computer-go mailing list [email protected] http://www.computer-go.org/mailman/listinfo/computer-go/
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