They are random so very little information can be taken out. Also about local fights and grand level strategy: Since the MC program always do a full board search they - relatively speaking - are masters at using full board and connecting local fights to global ones.
When I used my laptop to run ManyFacesOfGo I quite often lost on getting hammered in fights involving more than one area of the board. So MC makes a plan for the game, it just makes it implicitly and you cannot ask from it what it is. Petri 2013/4/1 Gabriel .Santos <gabrielmsan...@gmail.com> > Thanks Aja. > > I was just wondering if it is possible to get more relevant information > from the playouts and take advantage of that. > =D. > > > On Mon, Apr 1, 2013 at 3:58 PM, Aja Huang <ajahu...@gmail.com> wrote: > >> >> 2013/4/1 Gabriel .Santos <gabrielmsan...@gmail.com> >> >>> 3 - I guess you misunderstood my idea of "think", or perhaps i just >>> choose the wrong word. By the question that I raise, i mean, how anyone say >>> that one state is better than another one if they have the same winrate in >>> MC methods. How could the machine determine this ? >>> >> >> If one of the states has more trials than the other, then the machine >> determines it is better with higher confidence. >> >> Aja >> >> _______________________________________________ >> Computer-go mailing list >> Computer-go@dvandva.org >> http://dvandva.org/cgi-bin/mailman/listinfo/computer-go >> > > > _______________________________________________ > Computer-go mailing list > Computer-go@dvandva.org > http://dvandva.org/cgi-bin/mailman/listinfo/computer-go >
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