Can IESDS Determine the Nash Equilibrium in a Game?

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The discussion centers on the application of Iterated Elimination of Strictly Dominated Strategies (IESDS) in determining the Nash Equilibrium in a game. The user identifies Quadrant (1, 1) as both a Nash Equilibrium and a Pareto optimal outcome, questioning the validity of their results. Responses confirm that if a finite game can be solved by IESDS, the solution will indeed be the unique Nash Equilibrium. Additionally, it is noted that while Quadrant (1, 1) is Pareto optimal, Nash Equilibrium and Pareto Optimality do not always align, as illustrated by the Prisoner's Dilemma example. The discussion concludes with affirmation of the user's findings regarding their specific game scenario.
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Hello everyone!

Applying the Iterated Elimination of Strictly Dominated Strategies (IESDS) to a game resulted with the solution of the Nash Equilibrium.

Actually that specific "quadrant" of the matrix is the:

* Pareto optimal
* Nash Equilibrium
* Dominant strategies (through IESDS).

This is a Matrix that shows what I'm talking about:

Capture.png


Quadrant (1, 1) is a Nash Equilibrium, the solution of IESDS, and the Pareto optimum scenario.

What I'm trying to ask is: are my results wrong or this can actually happen? Did I come up correctly with the Nash Equilibrium? Is the IESDS solution really the quadrant (1, 1)?Thanks for reading (and possibly answer).

Cheers!
 
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Well, if a finite game can be solved by IESDS, the the solution is going to be the unique Nash Equilibrium.

As for Pareto optimality, Quadrant (1,1) is the best outcome for both players anyway, so there doesn't exist another strategy one could switch into to take advantage of. So your answer is right.

However, you are correct in your suspicion that Nash Equilibrium and Pareto Optimality don't necessarily coincide. For example, in the typical example of the Prisoner's Dilemma, the Nash Equilibrium of the game is when both players confess, while the Pareto Optimal strategy is when both players remain silent.
 
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Thank you very much!
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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