Re: [Computer-go] longest 3x3 game

[grok]

As the smoke cleared, Darren Cook <dar...@dcook.org>
mounted the barricade and roared out:

> >> The longest I've been able to find, by more or less random sampling,
> >> is only 521 moves,
> > 
> > Found a 582 move 3x3 game...

Is AlphaGo 'aware' of this database..?



-- grok.





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[Computer-go] QMC: "Quantum Monte Carlo" method used by Google & Nasa to speed up solutions 100.000.000 times

[grok]

Looks like we hav a contender for solving 19x19... and maybe then
some.
:D



Google's Quantum Computing Project Shows Promise
December 9, 2015 - Written By David Steele

Quantum computing is based around the premise that computers will
useindividual atoms and molecules in order to process instructions and
use memory. Moore's Law states that the number of transistors on a
microprocessor doubles every eighteen months, which if we extrapolate
forwards, means that somewhere between the year 2020 and 2030, the
circuits on a typical microprocessor will be measured on the atomic
scale. From here, the next step is to create quantum computers, which
have the potential to be significantly quicker at certain types of
calculation compared with conventional computers. Given Google's
propensity to research and develop emerging technologies, it should be
no surprise to discover that Google have a Quantum AI (Artificial
Intelligence) team, working towards understanding the physics that
will govern quantum annealers. The reason why AI is involved is
because artificial intelligence is seen as requiring significant
computational power: quantum computing will be able to compute huge
numbers of calculations simultaneously, making the technology highly
desirable for handling big data as well as artificial intelligence
systems.

Google have today released a paper detailing some of their insights
into quantum computing and how they have successfully applied
proof-of-principle optimization into the D-Wave 2X quantum annealer
that Google operates as a joint venture with NASA.Their research
showed that to solve a problem containing close to 1,000 binary
variables, quantum annealing is materially quicker than conventional
computing systems (known as simulated annealing). The technology was
found to be more than one hundred million (100,000,000) times faster
than simulated annealing running on a single core...









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Re: [computer-go] My experience with Linux

[grok]

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 I begin to consder install Linux on my PC at home. With
 my?internet connection speed, downloading 600 MB is just
 unrealistic. The other option is to order CD's. They cost
 $45 and up and I'm sure this cost will?go up with time. So
 much for the free software.?I keeps asking myself what
 will happen if the installation fails. I only have one
 computer and one internet connection.??

One word for you: Ubuntu.http://help.ubuntu.com


 
 Not that I don't trust?other people's opinion, but?people
 pitched other things before which we never hear again.

Your problems with Linux may not be rare, but they are kind
of atypical. You seem to be in too much of a hurry or
something. GNUnix really is free, and it really is good.


- -- grok.




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Re: [computer-go] Is MC-UCT really scalable against humans?

[grok]

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 Sure, 9x9 Go is still a very interesting game. One that can be a
 challenge even for the strongest players in the world. But in my
 opinion it's not nearly as interesting as 19x19 Go. Now if that's a
 point you'd like to argue, fine. But no need to be so patronizing.
 
 The interesting point here is not wether player A likes 9x9 or not.  
 The question is if 19x19 go has properties that are different and  
 relevant for computer go programs. In principle I think there is no  
 difference between 9x9 and 19x19. Humans may deal with the complexity  
 of 19x19 go in a way that is different from what they do on 9x9 go.  
 But then I would say that a human player that play a lot of 9x9 would  
 develop knowledge that only applies to 9x9, but from that I would not  
 conclude that 9x9 is special compared to 19x19. It all boils down to  
 unique positions that has to be analyzed with go knowledge that  
 applies to all sizes of the game.
 
 So feel free to argue that 19x19 has properties that are unique, but  
 in doing so please *specify* exactly what this means and why a  
 computer program has to deal with it to play really strong.
 
 -Magnus

The problem here and elsewhere on the computer-go eList
appears to be the avoidance (for whatever reasons) of coming
to an understanding of a general theory of _emergence_;
and as it applies to gameplay in this case -- especially
regarding Go.

Sure, the rules themselves are the same with both 9x9, 13x13
and 19x19 boardsizes; but it's most likely that _new pattern
relations emerge_ in time and space, with the more complex
development of stone formations, the bigger the board gets.
And that's what's not being properly and explicitly
recognized here: thus all the misunderstanding and flip flop
of positions to take, 'pro or con', as if matters are only
one way with each board size, or with which algorithm or
whatever -- and that's that.

And so then this problem with emergence and dialectics very
much spills over into the problems people here are having
with what to focus on in the programming end of things too.
'Eithor/or' decisions don't often seem to be the best way to
go about approaching problems. And this IMO logical defect
has everything to do with the long reductionist history of
programming and science whcih still plagues universities and
research.

My 2 cents-worth on this.


- -- grok.






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[computer-go] U. of Alberta bots vs. the Poker pros

[grok]

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Humans beat poker bot ... barely:
http://cosmiclog.msnbc.msn.com/archive/2007/07/25/289607.aspx



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