On 18.01.2016 08:47, "Ingo Althöfer" wrote:
My main motivation for thinking about Seki was/is the question if it is possible to recognize upcoming Seki situations in the histograms of an MCTS bot
As you have understood now, seki detection is not only a shape / topology question but mainly is about stability due to disadvantageous value changes both locally and globally (e.g. ko threat played in a seki as a means of offering a local sacrifice). In terms of histograms, you might identify the number of local value extrema e.g. for the whole board position's score. Is seki much different from ordinary life and death? Why care if anything is a seki? Maybe it is sufficient to study histograms of final global scores and detect at which tree branches peaks arise. (Or do likewise for subpositions.)
-- robert jasiek _______________________________________________ Computer-go mailing list [email protected] http://computer-go.org/mailman/listinfo/computer-go
