[ExI] DeepMind wins Game1 in Go championship Match

[William Flynn Wallace]

A typical group (that is, averaged) learning curve starts with a small
positively accelerated section, followed by a longer negatively accelerated
section going towards an asymtote.  The faster the learning the steeper the
negative section.


What does an AI curve look like?


bill w

On Wed, Mar 9, 2016 at 1:39 PM, spike <spike66 at att.net> wrote:

>
>
> -----Original Message-----
> From: extropy-chat [mailto:extropy-chat-bounces at lists.extropy.org] On
> Behalf Of BillK
>
>
> Quote:
> >>..."I was very surprised," said Lee after the match. "I didn't expect to
> lose. [But] I didn't think AlphaGo would play the game in such a perfect
> manner." ...
> ---------
>
>
> >...It sounds to me as though Lee was surprised by the ability of DeepMind.
> He will play seriously from now on!   :)
>
> BillK
> _______________________________________________
>
>
> I am seeing a replay of what computers were doing in chess in the 1990s.
> We were persistently astonished at how good those things were getting.
> They didn't exhibit the usual human pattern of steady growth with a fairly
> sudden (and persistent) leveling of ability at some point.  It isn't even
> clear to me that computers have yet completely leveled off, as humans
> always do.  The Go players are seeing that today.
>
> I see this as encouraging however.  It indicates to me that everything we
> think of as intelligence has some kind of algorithm behind it, and that the
> algorithm can be discovered.  If not, something that works in place of
> whatever our brains are doing is discoverable.
>
> spike
>
>
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