Re: [computer-go] Re: low-hanging fruit - yose

2007-12-06 Thread Don Dailey
You example is perfect for explaining the strengths of Monte Carlo. And I think your analysis is wrong. A Monte Carlo program will choose the group that maximizes it win expectancies. If it see's all groups as 85% then it would clearly go for the biggest group since that has a bearing on the

[computer-go] Re: low-hanging fruit - yose

2007-12-06 Thread Dave Dyer
Here's a more likely scenario: Approaching endgame, there are 10 "resolved" fights that remain to be played out. The program estimates is won 5 of them and lost 5 of them, each with 85% confidence. The sizes of the groups is such that any single switch from won to lost will swing the game. The