hi,
I think it is a usefull overwiew, wich can help dig through this list, or even
help to avoid having to dig through it :)
> Date: Fri, 4 Dec 2009 12:51:00 +0100
> From: [email protected]
> To: [email protected]
> Subject: [computer-go] [ANNOUNCE] Computer Go 2009 - "complete" state of art
>
> Hello!
>
> Today I held a presentation on the "complete" state of art in
> Computer Go, showing hopefully all the current widely applicable
> results, most successful strategies and worst current problems (in my
> interpretation, of course) - you can find it at:
>
> http://pasky.or.cz/~pasky/go/
>
> The presentation has a section introducing basic Go rules and tactics
> so it should be suitable even for AI researches not very familiar with
> Go. Of course it is not perfect and some parts assume accompanying
> explanations and few formulas on blackboard, but I think it could still
> be good material to give quick overview on currently used approaches
> with sufficient depth to satisfy a computer science scholar, plus
> quick references to the papers.
>
> P.S.: One IMHO important thing I now realize I've missed in the "open
> problems" section is parallelization on GPU.
>
> P.P.S.: The presentation also shows some preliminary (noticeably
> positive) results of naive dynamic komi application in handicap games.
> I plan to publish this later in a paper when I try more approaches and
> do more comprehensive testing.
>
> Hope it's useful,
>
> Petr "Pasky" Baudis
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> computer-go mailing list
> [email protected]
> http://www.computer-go.org/mailman/listinfo/computer-go/
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