I'm glad you posted about that. I was thinking of it but couldn't remember the name of it.
It looks like there may have been some data loss in the past (discussed in blogs). I see several links that are broken. I found the text at http://www.moyogo.com/files/%7BAF6C0FD3-B2EF-4CBE-85CB-7359B82A481D%7D.htmto be interesting. Sadly, the link to http://moyogo.com/MoyoGoPatternSystem.pdf (at the bottom of the page) is broken. Does anyone happen to have a copy of it? On 10/15/07, Eric Boesch <[EMAIL PROTECTED]> wrote: > > On 10/15/07, Erik S. Steinmetz <[EMAIL PROTECTED]> wrote: > > Greetings all, > > > > I have been looking through the literature (many thanks to Markus's > > wonderful online bibliography) on existing strategies in the opening > > game, and have not found too many articles on the specifics outside > > of a few papers on neural net learning applied to the opening. There > > are some vague references to 'pattern matching' to generate moves, > > but no information about how those patterns and moves were created. > > > > I am wondering if anyone knows of any attempts made to run pattern > > recognition (for example, clustering) algorithms over a library of > > games in order to learn reasonable opening moves. If so, and there > > are any papers about the success (or failures) of such an effort, I > > would really appreciate a pointer! > > Large-scale pattern harvesting from real games between strong and pro > players is the raison d'etre of Frank de Groot's commercial go > analysis tool Moyo Go Studio (www.moyogo.com). Moyo Go Studio's > pattern database includes millions of patterns of a wide variety of > sizes, definitely includes opening patterns. I don't know if de Groot > has contributed to the literature beyond making a number of posts to > this mailing list and commercial announcements on rec.games.go. > > Remi wrote that for CrazyStone, he culled some larger patterns that > did not appear to add strength (in particular opening patterns, though > maybe he put them back in for his standalone pattern recognizer). It > is just a different emphasis -- probably less complete but more useful > for making a strong go-playing program. > > I can't say anything about any of the others who have tried similar > things. > _______________________________________________ > computer-go mailing list > computer-go@computer-go.org > http://www.computer-go.org/mailman/listinfo/computer-go/ >
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