I was reading this post "How would you explain Markov Chain Monte Carlo (MCMC) to a layperson?": http://stats.stackexchange.com/q/165/5503
The first few answers confused me, definitely not layperson-ready I thought! But then these two talked about it in the context of board games, so I kind of got the idea: http://stats.stackexchange.com/a/438/5503 http://stats.stackexchange.com/a/12680/5503 But this just sounded like Monte-Carlo simulations. Which bit is the "Markov-Chain"? I thought I'd post here in the hope that someone could explain Markov-Chain Monte Carlo in computer go terms. Are we already using Markov-Chains in MCTS, just by another name? If not, why not? (I.e. is it an idea that was tried but didn't work very well for reasons we don't understand very well? Or there something about the nature of the go rules that mean it cannot be done? etc.) Thanks, Darren -- Darren Cook, Software Researcher/Developer http://dcook.org/work/ (About me and my work) http://dcook.org/blogs.html (My blogs and articles) _______________________________________________ Computer-go mailing list [email protected] http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
