Quote:
Originally Posted by jwlickliter
My theory about bots is their based around math. Math is a solution to a problem. I dont think nl holdem could be master truly by a human or bot cause of the randomness involved.
Math dosnt solve random cause random is a problem with no solution. Maybe random is a problem and solution, who knows?
If everyone did play like a bot or program it would become boring to play or even worse to watch. Sometimes I feel like a robot at my job, my job is boring. I bet its even more boring to watch me work.
With respect, the idea that math can’t solve problems involving randomness is just garbage. In fact math is the ONLY way to determine the proper way to deal with situations involving randomness. It is true that math can’t tell you anything about a particular random event, but who cares? We don’t use math to determine whether we will win a given hand; you’re correct in that this is impossible. However math can accurately predict what will happen if a given random event is repeated a large number of times. If you flip a coin 10000 times you’ll get somewhere close to 5000 heads. Math tells us that you’ll get between 4,850 and 5,150 heads 99% of the time. If someone is willing to put up $1 against your $10 to bet that the number of heads will be outside this range, math tells you that you’ll make money by doing so. You may lose $10 in some particular trial, but you’ll more than make it back over many trials.
Similarly math can’t tell you whether the 98s caller will crack your pocket aces this time. It can and does tell you that you should (obviously) call with aces when 98s shoves, and that your aces will make profit over the long run.
More realistically, math can tell you what strategies are most profitable given a particular opponent’s strategy, assuming you know it. If you know or have a good idea what ranges an opponent folds, calls, raises, 3 bets, etc., math can point you to an effective counter strategy that will profit against that opponent. Of course your opponent can also use math to come up with a new strategy to counter yours. You can in turn adjust yours again to counter his, and so on. This process of adjusting does reach a point, though, where both of you come to a strategy that can no longer be adjusted profitability. In technical terms that’s called a Nash Equilibrium, but it’s really what is meant when people refer to game theory optimal (GTO). GTO is not the strategy guaranteed to make the most profit against any opposing strategy. It is simply the strategy that does not allow your opponents to profit by changing their strategy.
Poker is insanely complex, so true GTO strategy is not actually known, only approximations to it. It’s not known due to complexity in the game decision tree, though, not due to randomness. GTO strategies for simpler random games can certainly be determined.