[gurps] Failing autopilots and RVO

[Knapp]

> 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.

-- 
Douglas E Knapp

Why do we live?