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
<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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