----- Original Message ----
> From: Raymond Wold <[email protected]>
> 
> On 23.07.2010 02:12, Stefan Kaitschick wrote:
> > Why should the worst case  be the most interesting?
> > In a program of this complexity worst case  isn't the "true" strength of 
> > the 
>program.
> > Worst case is basically a  bug.
> 
> Given enough time, even an "AI" that chooses entirely randomly from  the 
> legal 
>moves available will get a win against the best human.


"enough time" would be a rather long, long time. Let us know when you find a 
win 
of the random bots against even a modestly strong human. 
 
> >  What's wrong with looking average play to judge the program?
> 
> Well, it  depends on how you measure the average. The typical, putting your 
> bot 
>on a go  server and letting it play self-selected humans, is not very good, as 
>surprise  at playing style, no knowledge of the program's fundamental flaws, 
>and 
>so on,  (not to mention humans not necessarily taking a game against a bot as 
>serious)  will bias it towards the program.


As I observe on KGS, quite a few humans play more than one game against a given 
bot. The factor of surprise is not large. It is also possible to review games; 
by now, the weaknesses of the top bots on KGS are fairly well known.

> I would not object to an average of,  say, 100 games against one human 
> opponent 
>trying his best to win. With an even  result under such a series I would 
>certainly consider the program as strong as  the human.
> 
> > And in terms of "interesting" I must say that I find the  programs best 
> > play 
>much more interesting than it's worst play.
> > With best  play I don't mean some book play ofcourse, but a fine solution 
> > to 
>a tricky  problem.
> 
> "Tricky problems" is what a computer does best, a localized  search for a 
>solution, possibly even brute forced. This isn't very impressive to  me.
> 
> > Granted, truly awesome play is currently mostly to be seen on  9*9.
> > But I've seen some great kills on the big board that any top  amateur could 
>be proud of.
> 
> And how do you deal with confirmation bias? If  you look for exceptional 
>results, do you also look for spectacular failures?  What about if a program 
>gets an occasional brilliant win, but still loses most  of the games?
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