The Story of Game Theory

1. Who is considered the father of modern game theory?

A) Isaac Newton
B) Galileo Galilei
C) Albert Einstein
D) John von Neumann

2. In game theory, what is a Nash equilibrium?

A) A situation where all players lose.
B) A stable state where no player has an incentive to change their strategy given the strategies of the other players.
C) A game with no optimal strategies.
D) A strategic move that always guarantees a win.

3. What famous book introduced the concept of game theory to a wider audience?

A) The Theory of Games and Economic Behavior
B) 1984
C) Moby Dick
D) The Lord of the Rings

4. In game theory, what does 'backwards induction' refer to?

A) Allowing the opponent to dictate the game.
B) A method of solving a game from the end to the beginning by determining the optimal strategy for the last player to move.
C) Guessing the opponent's next move.
D) Playing without considering previous moves.

5. What concept in game theory involves one player's gaining only if another player loses?

A) Random chance
B) Thinking ahead
C) Collusion
D) Zero-sum game

6. What is the 'stag hunt' game in game theory?

A) A game with no clear strategy.
B) A game played by hunting enthusiasts.
C) A game involving fictional animals.
D) A game that models the conflict between individual gain and group cooperation.

7. What famous theorem is central to the study of cooperative game theory?

A) The Shapley value
B) The Fundamental Theorem of Algebra
C) The Pythagorean theorem
D) Fermat's Last Theorem

8. What is a dominant strategy in game theory?

A) A strategy that depends on the opponent's mood.
B) A strategy that is rarely used.
C) A strategy that is always the best choice regardless of the strategies chosen by other players.
D) A strategy that requires luck to succeed.

9. What is meant by the concept of 'utility' in game theory?

A) A measure of time taken to make a decision.
B) A measure of preference or value assigned to outcomes in a game.
C) A measure of player skill.
D) A measure of the game's complexity.

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