Quick question - how, mechanically, is the opening being handled by alpha
go and other recent very strong programs? Giant hand-entered or
game-learned joseki books?

Thanks,

steve
On Mar 10, 2016 12:23 PM, "Thomas Wolf" <tw...@brocku.ca> wrote:

> My 2 cent:
>
> Recent strong computer programs never loose by a few points.  They are
> either
> crashed before the end game starts (because when being clearly behind they
> play more
> desperate and weaker moves because they mainly get negative feadback from
> their search with mostly loosing branches and risky play gives them the
> only
> winning sequences in their search) or they win by resignation or win
> by a few points.
>
> In other words, if a human player playing AlphaGo does not have a large
> advantage already in the middle game, then AlphaGo will win whether it
> looks
> like it or not (even to a 9p player like Michael Redmond was surprised
> last night about the sudden gain of a number of points by AlphaGo in the
> center in the end game: 4:42:10, 4:43:00, 4:43:28 in the video
> https://gogameguru.com/alphago-2/)
>
> In the middle and end game the reduced number of possible moves and the
> precise and fast counting ability of computer programs are superior.  In
> the
> game commentary of the 1st game it was mentioned that Lee Sedol considers
> the
> opening not to be his strongest part of the game.  But with AlphaGo playing
> top pro level even in the opening, a large advantage after the middle game
> might simply be impossible to reach for a human.
>
> About finding weakness:
> In the absense of games of AlphaGo to study it might be interesting to get
> a general idea by checking out the games where 7d Zen lost on KGS
> recently.
>
> Thomas
>
> On Thu, 10 Mar 2016, wing wrote:
>
> One question is whether Lee Sedol knows about these weaknesses.
>> Another question is whether he will exploit those weaknesses.
>> Lee has a very simple style of play that seems less ko-oriented
>> than other players, and this may play into the hands of Alpha.
>>
>> Michael Wing
>>
>>  I was surprised the Lee Sedol didn't take the game a bit further to
>>>  probe AlphaGo and see how it responded to [...complex kos, complex ko
>>>  fights, complex sekis, complex semeais, ..., multiple connection
>>>  problems, complex life and death problems] as ammunition for his next
>>>  game. I think he was so astonished at being put into a losing
>>>  position, he wasn't mentally prepared to put himself in a student's
>>>  role again, especially to an AI...which had clearly played much weaker
>>>  games just 6 months ago. I'm hopeful Lee Sedol's team has been some
>>>  meta-strategy sessions where, if he finds himself in a losing position
>>>  in game two, he turns it into exploring a set of experiments to tease
>>>  out some of the weaknesses to be better exploited in the remaining
>>>  games.
>>>
>>>  On Thu, Mar 10, 2016 at 8:16 AM, Robert Jasiek <jas...@snafu.de> wrote:
>>>
>>> >  On 10.03.2016 00:45, Hideki Kato wrote:
>>> > > >  such as solving complex semeai's and double-ko's, aren't solved
>>> yet.
>>> > >  To find out Alphago's weaknesses, there can be, in particular,
>>> > >  - this match
>>> >  - careful analysis of its games
>>> >  - Alphago playing on artificial problem positions incl. complex kos,
>>> >  complex ko fights, complex sekis, complex semeais, complex endgames, >
>>> multiple connection problems, complex life and death problems (such as >
>>> Igo Hatsu Yoron 120) etc., and then theoretical analysis of such play
>>> >  - semantic verification of the program code and interface
>>> >  - theoretical study of the used theory and the generated dynamic data
>>> >  (structures)
>>> > >  --
>>> >  robert jasiek
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>>>
>>>
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