Le lundi 15 octobre 2007 20:53, Erik S. Steinmetz a écrit : > Greetings all, > > I have been looking through the literature (many thanks to Markus's > wonderful online bibliography) on existing strategies in the opening > game, and have not found too many articles on the specifics outside > of a few papers on neural net learning applied to the opening. There > are some vague references to 'pattern matching' to generate moves, > but no information about how those patterns and moves were created. > > I am wondering if anyone knows of any attempts made to run pattern > recognition (for example, clustering) algorithms over a library of > games in order to learn reasonable opening moves. If so, and there > are any papers about the success (or failures) of such an effort, I > would really appreciate a pointer!
Mango (on kgs does something like this. If i remeber it learned patterns from pro games, including some large scale patterns used in opening, and this give very "good looking" opening (very stylish :) More info in their publications: http://www.cs.unimaas.nl/g.chaslot/ Alain _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
