Tonight reading some papers about ICCM PokerBot Tournament for those who wonder it's the International Conference on Congnitive Modelling.
And some thesis and counter thesis about Independant Chip Model and Nash equilibrium. Very interesting.
Also trying to find real assessments about David Sklansky improved system but only find claimings and no real assessment on superiority of his new system.
Seriously bugging me to think players follow blindly blurry concepts (wich are not really academic) about an Imperfect Information and Non Deterministic Game when playing online ...
On an intellectual side it's interesting to imagine new solutions to those kind of problems wich can also be transposed to many other uses out of poker.
On a game of perfect information Brute-Force is one of the best way to solve a game or a problem even if it might requires lot of time to solve a complex problem.
For games of imperfect informations it requires a neural network for self training and evolution and Temporal Difference learning process to reduce errors on the long run. Still even using a neural network and self-training with TD learning it's unlikely to be close to a real optimal or sub maximal solution vs a human player since playing against itself the neural network have very limited options and game tree compared to a human behavior.
Also actual solutions do not use opponents exploitabilities since they cannot be implemented in a math formula as far as i know.
Now let's say players were playing a perfect optimal game during a STT what would be the results on the long run (Billions - Trillions of games) Breakeven ?
Don't see why players do want to play that way in order to just be breakeven or with a slight +ROI% on the long run, sounds pretty counter intuitive to me.
Now every player is not equal applying the same strategy so it might do some disparities in the results obviously but still it's not really that enthousiastic.
ICM are also IMO more interesting when a SNG gets 4-3 Handed since outcomes are more limited but obviously it still depends of your opponents.
If a ICM Calculator tells you to push with any two on the bubble from SB vs BB with calling station tendencies is it really valuable to push with 72o 54s ... I don't think so personally.(On the ICM strategic point of vue BB would be doing a mistakes over the long run but still the long run is billions - trillions of STTs and if you push with trashy vs that kind of opponent it's not really a mistake to call pretty wide if he is 2nd or 3rd in chips and in some other kind of table dynamics).
Thinking about the Push/Fold approach the only interest is to reduce disparities in Skills between a player abilities and the other poker players.
Less ways to make mistakes vs more skilled players. Is that the best way to play yes if your opponents are more skilled than you else i don't think so.
Does it lead to a greater ROI% hmm i wonder, if the player who use it isn't skilled vs his competitors it will grant him a better ROI% than he would get by himself.
But a greater ROI% than his competitors i don't think so. Also it seems that push/fold reduce slightly the so called positional advantage in poker books since players will have to commit all their chips in to call a push even with a good read (not that they would care @ lowest micros).
I think it could be interesting to look into Genetic Algorythms to develop an evolutionary implementation to actual neural network calculators coz clearly FGS isn't that much evolutionary but only take into account futur blind levels wich isn't that much ....
Plenty more readings to do during my recovery process but they will be more oriented to AI/Genetic/Math/Stats/Algorithms/Simulations than poker.
Sorry if i bored some of you.
Simply shared my toughts and personal opinion about Poker and actual solutions offered to players.
I don't claim to be right or wrong but i want to find out using true simulations and make deeper analysis
rather Than just read SUPER ICM CALCULATOR SUBSCRIPTION Buy AND WIn beating your opponents blah blah blah ...
Best of Skills & Luck @ Tables,
OldSchoolPapa.