Re: An AI program that teaches itself

2017-10-20 Thread Brent Meeker
The problem is that, like most real problems, improving computer code 
has no simple one-dimensional measure of "better".  Go games are won or 
lost.


Brent

On 10/20/2017 6:46 PM, John Clark wrote:
Google reports in the current issue of the journal Nature that it has 
a new greatly improved Go program called  "AlphaGo Zero" that is now 
the most powerful GO program in the world. And the program isn't good 
because of brute force, it needs to make less than one tenth as many 
calculations as the previous best GO program "AlphaGo" that defeated 
the world's top human GO player in 2015  4 games out of 5; and yet 
AlphaGo Zero just defeated AlphaGo in a 100 game tournament 100 games 
to zero.


Even more interesting is how AlphaGo Zero got so smart. The older 
program AlphaGo had to start by analyzing hundreds of thousands of 
championship level games made by human players, but AlphaGo Zero 
started with nothing but the simple rules of GO and instructions to 
learn to get better. At first the program was terrible but day by day 
it got better and after 40 days of thinking about the problem 
became the best at it in the world. But of course after 40 days of 
constant self modification no human being can say how  AlphaGo Zero 
works.


https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html 



It seems to me the next logical step would be to switch the program's 
interest from getting better at the game of GO to improving computer 
code, including its own. I wonder where that could lead.


 John K Clark
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An AI program that teaches itself

2017-10-20 Thread John Clark
Google reports in the current issue of the journal Nature that it has a new
greatly improved Go program called  "AlphaGo Zero" that is now the most
powerful GO program in the world. And the program isn't good because
of brute force, it needs to make less than one tenth as many calculations
as the previous best GO program "AlphaGo" that defeated the world's top
human GO player in 2015  4 games out of 5; and yet AlphaGo Zero just
defeated AlphaGo in a 100 game tournament 100 games to zero.

Even more interesting is how AlphaGo Zero got so smart. The older program
AlphaGo had to start by analyzing hundreds of thousands of championship
level games made by human players, but AlphaGo Zero started with nothing
but the simple rules of GO and instructions to learn to get better. At
first the program was terrible but day by day it got better and after 40
days of thinking about the problem became the best at it in the world. But
of course after 40 days of constant self modification no human being can
say how  AlphaGo Zero works.

https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html

It seems to me the next logical step would be to switch the program's
interest from getting better at the game of GO to improving computer code,
including its own. I wonder where that could lead.

 John K Clark

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