An interesting point. But then the question is which is it better to
have good intuition or good intelligence. Intelligence as
self-consciousness in a typical alpha-beta game program would give
explanations like "I projected all possible moves ahead for six steps
and evaluated the positions according weighting algorithm Xyz and this
move was the mini-max best." Is that really any better than the neural
net? It seems that the function of self-consciousness must be a kind of
learning, and in this cases social learning in which the person who has
done well is asked to teach others how to do well. If we were talking
about AI robots then perhaps the robot who had done well could simply
copy over its intuition network about the subject. Humans can't do
that, but as social animals they evolved to cooperate using language.
So they also teach and learn using language. This means the even when
their learning is intuitive (as in most sports) they create stories
about how to perform well by trying to introspectively describe what
they do intuitively.
Brent
On 10/22/2017 12:16 AM, Alberto G. Corona wrote:
Neural networks are not about artificial intelligence, but about
artificial intuition. As you said, AlphaGo -a neural network
application- can not answer the question why you did that move?.
If they could answer, the answer would be ever the same: " I don´t
know, I moved this because if found some patterns that are very close
to this new one, so I did this move that produced a win at the end
within those patterns".
That does not qualify as intelligence. For me, the appropriate name
is intuition.
2017-10-21 3:46 GMT+02:00 John Clark <[email protected]
<mailto:[email protected]>>:
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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