Thank you Dave, I will take a look in Winning Ways.
;) On Mon, Apr 1, 2013 at 4:55 PM, <[email protected]> wrote: > Gabriel, > > I don't think that MC players are aware of "local fights". It would be > very nice if a program could divide the board in separate locations, > because the combinatoric explosion would be reduced by a huge factor (4 > areas with 16 empty intersections has a much smaller game tree than 1 area > with 64 empty intersections). > > There is a method of combining the results of local endgame fights in a > global result (Winning Ways by Conway, it can be viewed as a way to > determine the optical merging of sepatate game trees), but in earlier > stages of the game it is hard to separate out areas of the board that have > low interaction. > > Perhaps it could be derived in an MC way (statistically) from cross > correlations of board occupance at playout terminal nodes. I gave that a > try a couple of years ago, but I gave up when it didn't seem to give useful > results. Could be due to bugs in my code though. > > Dave > ------------------------------ > *Van:* [email protected] namens Gabriel .Santos > *Verzonden:* ma 1-4-2013 19:42 > *Aan:* [email protected] > *Onderwerp:* Re: [Computer-go] Weight of moves > > Álvaro, > > When I say "think like a human player ", I mean regarding to the strategy. > For example, when there are several fights happening simultaneously at the > board, a human player can identify them and decide which one worth more to > invest, I thinks this is a really difficult task in Go. How does he do this > judge ? Which features does he analyze? And there are cases which "try" to > mimic the biological solution is worth. See Neural Networks, Ant Colony > Optimization Algorithm, Genetic Algorithm, etc. > > Santos, Gabriel. > > > On Mon, Apr 1, 2013 at 2:30 PM, Álvaro Begué <[email protected]>wrote: > >> >> On Mon, Apr 1, 2013 at 11:10 AM, Gabriel .Santos < >> [email protected]> wrote: >> >>> I know that it is a lot of questions, but in order to get a computer go >>> machine to outperform a human player I think that the machine should to >>> ratiocinate like a human player. >> >> >> >> Do you also think a machine that carries people very fast should have >> strong legs like a horse? And a machine that can fly should flap its wings >> like a bird? And a closer example: Do you think the same thing about chess >> machines? >> >> In all those cases the engineering solution to the problem was very >> different from the biological solution, and I expect the same will happen >> with computer go. Actually, it's already happening. >> >> Álvaro. >> >> >> >> _______________________________________________ >> Computer-go mailing list >> [email protected] >> http://dvandva.org/cgi-bin/mailman/listinfo/computer-go >> > > > _______________________________________________ > Computer-go mailing list > [email protected] > http://dvandva.org/cgi-bin/mailman/listinfo/computer-go >
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