Thanks Chrilly. For anyone else interested, it is here:
http://www.xilinx.com/publications/xcellonline/xcell_53/xc_pdf/xc_hydra53.pdf
But, as you say, the "the search tree as an adaptable error filter"idea
is only mentioned in passing. I guess I'll just have to wait for Ulf
Lorenz to translate his Dissertation into English :-).
Or you learn German. As I side effect you can than also read Goethe and my
chess columns. The chess columns are interesting, but then you have to learn
also the Austrian version of German).
Ulf has used this model for a project to improve the robustness of
airplane-schedules. ...
Interesting. It is always motivating to hear about game theory getting
applied to the real world. (And having been stuck in Amsterdam airport
for 5 hours because KLM "forgot to schedule a pilot" for my flight, I
think the airline industry needs all the help it can get!)
The problem is, that there is no economic incentive. A robust solution is
usually somewhat worse than the non-robust one. I assume that you did not
get any compensation for the 5 hours in Schiphol. Such methods will only
become important, if KLM has to pay you. 50 Euro/h. The scheduling was done
before by humans. These schedules have been robust. Simply for the fact that
it is too complicated for a human to make an optimal schedule. But also
because humans have some feeling what can go wrong and they anticipate the
most likely delays. To a certain degree computer-optimization was introduced
to make the schedules less robust.
But you have also choosen a very poor airline. KLM was fine a few years
agos, but then they started to "save money" and now its notorious for being
late, loosing baggage. But as the other lines have gone the same way, it
makes no big difference. There a few good lines left. I my experience the
best one is Emirates from Dubai. You should give it a try the next time.
Chrilly
_______________________________________________
computer-go mailing list
computer-go@computer-go.org
http://www.computer-go.org/mailman/listinfo/computer-go/
