>> The difference between ManyFaces blitz and slow is also a lovely gem of >> information. >>> 2300 1k pachi-c919f 1k ManyFaces (30minutes) >>> 2400 1d mfgo12-610-2c 1d ManyFaces1 (10sec blitz) > > My guess is that this is caused by huge amount of domain-knowledge from > "classical ManyFaces" used to prune the tree initially - that gives big > constant boost against MCTS bots with equal thinking time, but with > additional time this does not contribute anything anymore and MFGo > scales similarly to other MCTS bots.
The above stat was from KGS, not CGOS. So, my thought was: MCTS doesn't scale with extra thinking time as well as humans do. Which conveniently matches my hypothesis that MCTS doesn't use extra CPU cycles very efficiently. Though, as you say, those foolish humans foolishly managing their blitz time foolishly does distort things a bit. Darren -- Darren Cook, Software Researcher/Developer Specializing in intelligent search (in multiple languages), discovery of context, aiding communication, and basically helping people find and make good use of their data. http://dcook.org/gobet/ (Shodan Go Bet - who will win?) http://dcook.org/mlsn/ (Multilingual open source semantic network) http://dcook.org/work/ (About me and my work) http://dcook.org/blogs.html (My blogs and articles) _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
