Game Theory: Solving n Players Helping an Injured Man

In summary, using backward induction, it can be shown that in a symmetric Nash Equilibrium, each player in a game where n players are trying to help an injured man will refuse to help with probability c^(1/(n-1)).
  • #1
mathlete
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This question has me totally stumped... any help would be appreciated.

"n players in a game all want to help an injured man. They each get a payoff of 1 if someone helps him, and a payoff of 0 if no one helps him. The person that helps the injured man also receives a penalty of c (0 < c < 1), making their payoff 1-c.

If n >= 2 and offers of help are made simultaneously, show that in a symmetric Nash Equilibrium, each player will refuse to help with probability c^(1/(n-1))"

Anyone? I really can't seem to get this
 
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  • #2
This problem can be solved using the concept of backward induction. First, assume that all players are rational and that they have perfect information about the game. Now, consider the last move of the game: the decision of the nth player to help or not. If he helps, then the payoff is 1-c, whereas if he doesn't help then the payoff is 0. Since the nth player wants to maximize his payoff, it must be the case that his optimal strategy is to not help the injured man if c^(1/(n-1)) <= 1/2 and to help him otherwise. Now, consider the second-to-last player's decision. He knows that if he chooses to help, then the nth player will choose not to help if c^(1/(n-1)) <= 1/2 and will choose to help otherwise. Thus, the second-to-last player's optimal strategy is also to not help the injured man if c^(1/(n-1)) <= 1/2, and to help him otherwise. The same logic can be applied to the third-to-last player, the fourth-to-last player, and so on until the first player. Thus, in a symmetric Nash Equilibrium, each player will refuse to help with probability c^(1/(n-1)).
 

FAQ: Game Theory: Solving n Players Helping an Injured Man

What is game theory?

Game theory is a branch of mathematics that studies decision-making in situations where multiple individuals or organizations are involved. It is used to analyze strategic interactions between rational decision makers.

What is the "n Players Helping an Injured Man" game?

The "n Players Helping an Injured Man" game is a game theory scenario where a group of players must decide whether or not to help an injured man. The game involves each player choosing between two options: to help the injured man or to not help him. The outcome of the game depends on the decisions made by all players.

How is the "n Players Helping an Injured Man" game solved?

The "n Players Helping an Injured Man" game can be solved by using mathematical models and strategies from game theory. One approach is to use the concept of the Nash equilibrium, which is a solution where no player can improve their outcome by changing their decision. Another approach is to use cooperative game theory, which involves players forming coalitions to achieve a common goal.

What factors influence the outcome of the "n Players Helping an Injured Man" game?

The outcome of the "n Players Helping an Injured Man" game is influenced by various factors, such as the number of players, the players' individual preferences, and the potential consequences of helping or not helping the injured man. Other factors, such as communication and trust among the players, can also play a role in the outcome of the game.

How is "n Players Helping an Injured Man" game applied in real life?

The "n Players Helping an Injured Man" game can be applied in real-life situations where a group of decision makers must choose between helping or not helping someone in need. This could include situations like disaster relief efforts, financial aid distribution, or political negotiations. Game theory can help predict and analyze the outcomes of these scenarios and inform decision-making processes.

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