Knapp wrote:
But humans can reach beyond their training when they need to, or sometimes they
make a > mistake which later turns out to have really been the right thing to
do.
That's less likely for a computer running a program.
Why?
I am thinking that a computer which rewrites its own programs based on
experience or predictions of opponents future actions is no longer just
running a program; at that point it is at least an LAI (in my opinion). And
that is a whole new thing than a Skill 17 piloting program.
--
Zan Lynx
They don't rewrite anything and they are just running a program. They
just find the best path (or a good path) to a solution and then
remember it in similar situations. I feel that you are not getting
what I am trying to tell you. It you watch the videos on the links I
posted? Here is the same stuff from a different writer. Maybe that
will help. Also remember that this is from 2006, 3 years ago. And from
a talk about Go AIs.
http://senseis.xmp.net/?MonteCarloTreeSearch
"A playout is the basis of all Monte Carlo methods. It is a fast game
played with random moves from a starting position to the end of the
game, generating either a score or simply a result (win/loss). A
playout can be light (completely random moves) or heavy (moves are
biased based on heuristics, such as pattern libraries, shape, group
status, move history, killer moves, etc.). (See also: playout
analysis)
Win rate is a statistic kept by nodes in the game tree, tracking how
many of the playouts from this position resulted in a win for the
color to move. Research so far finds that this is a more effective
statistic to optimize than average score. The use of winrate instead
of score results in the characteristic Monte Carlo behavior of winning
games by small margins. "
This stuff is all CURRENT, it is not some super AI. It can be done now
and IS being done now.
I am not sure you get it. I KNOW ALL THIS STUFF and I still disagree
with you.
If your Trade Federation is building 100,000 killer droids, is each one
going to be trained individually, or do you think it's a heck of a lot
more likely each one will have THE SAME initial database of "pattern
libraries, shape, group status, move history, killer moves, etc."
That database is the program.
And even more likely, that the selection critera will tend to cause "the
program" to converge on similar tactics over time, or at least wander
between common "attractors", no matter how much training it gets.
Perhaps I did phrase my rating of an LAI inappropriately. The software
in your example is still limited to modifying numbers within its
framework, it is not rewriting the framework itself.
--
Zan Lynx
[email protected]
"Knowledge is Power. Power Corrupts. Study Hard. Be Evil."
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