In the simulation,
Initially, we consider player
The number of rows corresponds to the number of possible strategies for the choice. If
Similarly, player
It is important to note that the payoff assigned to player
In the algorithm, the strategy choice is made through the function
Thus, to obtain the payoff
Generalizing for a quantity of
Thus, the strategy selection function
Consequently, for each
When the strategy decision function
It is necessary to note that, for players
So, for the function
Therefore, to obtain the payoff for player
The goal of the simulation is to be used with various arrangements of strategy decision functions. As seen earlier, strategy decision functions are divided into two groups (STP and CTP). For each of these groups, we can have numerous different functions with distinct methods for choosing the strategy.
For example, for players
To assess the performance of the strategic decision-making functions,
Thus, for each player