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.
        
        
        

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