[Beowulf] Re: computer Go

[guanq]

it is only a time issue for computer to beat human on everything.

if people use some theory not related to Go and not being trapped in
to remembering thousands and thousands Jusakis, for example kind of
intensity vector to weight each move, probably people can find a
better and easier way to beat human on Go



On Fri, Aug 8, 2008 at 10:15 AM, Peter St. John <peter.st.john at gmail.com> wrote:
> The American Go Association (which has a free e-newsletter) at
> http://www.usgo.org/  reports that a machine won an exhibition game with a
> master last night at the US Go Congress. This isn't really historic; the
> master, Myungwan Kim, is an 8 dan professional, and gave 9 handicap stones
> to the machine.
>
> Very roughly, 8 dan pro would be comparable to 9 dan amateur; and very
> roughly, Kim would be able to give me 9 stones too (I'm 1 dan amateur and
> amateur handicaps equate one stone to one rank, and the mathematician Don
> Weiner 6d beats me easily at 6 stones, althugh I should be able to cope at
> 5).
>
> 9 stones is very roughly comparable to queen odds at chess, but the
> statistical distributions of Go and Chess are not the same; a Grandmaster of
> chess could maybe give me rook odds, not queen odds; knight odds is roughly
> comparable to two standard deviations, a rating difference of about 400
> points, and I'm about 800 below the world champion  (and I"m comparable in
> go and chess). But again speaking very roughly, this result is in the
> ballpark of achieving amateur 1 dan status, about the level that Ken
> Thompson achieved with Belle in the mid-80's (the first USCF Expert
> machine). Odds games in chess do not have the same probabilistic qualities
> as in Go; we almost never play odds games in chess anymore (it was popular
> for money in the 19th century) but can't get along without handicapping in
> Go, games between quite disparate players can be made interesting.
>
> I haven't found specifics for the machine or the team yet, but to quote the
> article:
>
> 800 processors, at 4.7 Ghz, 15 Teraflops on borrowed supercomputers
>
> A related article said the machine(s) was sited in Europe.
>
> Peter
>
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