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> load the entire game tree, and walk randomly through it

Can't you just multiply all the percentages and just get an expected value for each field? Why the random walk? Can't you just calculate this exhaustively?



I was thinking the same ΓΈ, but does it work with the neutral field and changing players in the mix?


I mean there will be non-zero chance that the game could go on forever.


Read the article, my friend. Then you'll see what is so magical about the random walk algorithm - namely, it is easier to implement then other tree evaluation algorithms!

Of course, you can use a number of algorithms to calculate the value, and if you beat me to the punch and it's correct, how about this I'll buy you a burger. But which specific algorithm are you proposing, and where is its pseudocode and correctness proof?

And is it simpler? If so I'll implement that instead of the random walk!

I picked the random walk algorithm because it is much easier to implement than any other game tree evaluation algorithm I know.




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