https://www2.bc.edu/~sonmezt/E308SL7.pdf
Further, one could apply the ideas presented in the above pdf, to a one-shot simultaneous game. (i.e. a simultaneous game played only once)
Assume a 2-person game where the goal of the game is to win.
Also, of course that real life interactions are very rarely one-shot i.e. most are repeat-games, and that is why many other factors start coming into the picture. (including ethics and what not). As an example have a look at this which suggests how and why social-diversity may in fact lead to cooperation and altruism.
Further, one could apply the ideas presented in the above pdf, to a one-shot simultaneous game. (i.e. a simultaneous game played only once)
Assume a 2-person game where the goal of the game is to win.
- Lets assume a one-shot game. In this situation, what if the Payoff Matrix has no obvious Nash Equilibria i.e. at least 1 player finds that its best to change the decision. What is the best strategy in this situation. One way to think is as follows
- Assume that the game is a repeated game. Now if one does not want to be exploited, the strategy is to mix up one's decisions. How should this mixing be done ? In order to minimize the payoffs of the other person, it is best to seek the minimum of the maximum payoffs the other player -- why so ? (have a look at the article), and in doing so one finds the mixed strategy.
- Once one knows the mixed strategy, choose the decision with the highest yeild in the long-run as the decision for the one-shot game.
Also, of course that real life interactions are very rarely one-shot i.e. most are repeat-games, and that is why many other factors start coming into the picture. (including ethics and what not). As an example have a look at this which suggests how and why social-diversity may in fact lead to cooperation and altruism.
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