At 11:39 AM 12/6/2007, terry mcintyre wrote: >Any estimate of winning probability is only as good as the estimates of >whether particular games are actually won or lost.
I propose that monte carlo programs should produce a distribution of quantitative outcomes rather than just a simple %win. It's only a very little more information to collect if you bin the outcomes in 10 point increments. Given this kind of data, you could prefer moves that had a narrower distribution of outcomes, and positively avoid those with bimodal distributions where 51% win big and 49% lose big. .. or it might be found that the distribution of outcomes is not a usable factor. _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
