>Poker can be analyzed well by (even naif) Monte Carlo methods.
How?
Simulation! Whatever evaluation you need and don't know how to compute because it is too complex for easy formulas can be simulated.
This applies to the probability of winning, but also on the betting decisions (call, raise, etc.) and the amount in the pots
your own and your opponent's. Play it out randomly 100000 times and see how many times you win/loose. Whatever estimator you get will be better than what a human can do just guessing. I call it naif because its the first idea, like basic MC. Then, knowing the problem better you can evolve to something like UCT that favors more promising lines, etc. Jacques. _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
