terry mcintyre wrote: > UCT is based on a theory of a multi-armed bandit, with uncertain knowledge > about which "arms" would be most productive. Is it possible to graft various > sources of knowledge into a sort of meta-bandit algorithm? > > As to fusing top-level knowledge with random playouts, I love the idea, and > am trying to imagine how to implement it. I would point out that this is exactly what the best programs are doing. It may not be as sophisticated as we would like to see it, but it's definitely moving in that direction.
> One idea is this: certain moves in certain situations might trigger a forced > reply. Playing one of a pair of miai, for instance, should result in a high > probability of the matching move played as a response - especially if failure > to do so would result in killing a group. > Analysis of a group could conclude that life depends on certain external > liberties, or the ability to play one of two alternate moves, yadda yadda; > those threats then trigger appropriate automatic responses with high > probability. > > Regarding the scalability study, the results are tricking in more slowly now, > I think. Is the number of machines in use the same as before? I'm very > curious about that flat spot for Mogo-16, 17, and 18. ( > http://cgos.boardspace.net/study/index.html ) > > > Terry McIntyre <[EMAIL PROTECTED]> > > > > > > > ____________________________________________________________________________________ > Looking for last minute shopping deals? > Find them fast with Yahoo! Search. > http://tools.search.yahoo.com/newsearch/category.php?category=shopping > _______________________________________________ > computer-go mailing list > [email protected] > http://www.computer-go.org/mailman/listinfo/computer-go/ > > _______________________________________________ computer-go mailing list [email protected] http://www.computer-go.org/mailman/listinfo/computer-go/
