Multi-party game theory is COMPLEX! Add in that payoff matrices, utility curves, and player capabilities in human social situations are highly variant and not well-known (and in many games/conflicts/situations, actively obfuscated). Then add in that all of these games are somewhat connected to each other so there’s no isolation to make the calculations feasible.
Recognizing that every interaction is part of multiple games, and that the players are insanely complex neural networks (literally) which have evolved over millenea for this kind of game, is a good first step. You CANNOT calculate any of the results, you can only observe and intuit, and be aware (to some extent) of your own preferences and capabilities (aka “payoff matrix”).
Multi-party game theory is COMPLEX! Add in that payoff matrices, utility curves, and player capabilities in human social situations are highly variant and not well-known (and in many games/conflicts/situations, actively obfuscated). Then add in that all of these games are somewhat connected to each other so there’s no isolation to make the calculations feasible.
Recognizing that every interaction is part of multiple games, and that the players are insanely complex neural networks (literally) which have evolved over millenea for this kind of game, is a good first step. You CANNOT calculate any of the results, you can only observe and intuit, and be aware (to some extent) of your own preferences and capabilities (aka “payoff matrix”).