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  2. Nash equilibrium - Wikipedia

    en.wikipedia.org/wiki/Nash_equilibrium

    A Nash equilibrium is a situation where no player could gain by changing their own strategy (holding all other players' strategies fixed). [1] The idea of Nash equilibrium dates back to the time of Cournot, who in 1838 applied it to his model of competition in an oligopoly. [2]

  3. Focal point (game theory) - Wikipedia

    en.wikipedia.org/wiki/Focal_point_(game_theory)

    In this game, players are tasked with guessing an integer from 0 to 100 inclusive which they believe is closest to 2/3 of the average of all players’ guesses. A Nash equilibrium can be found by thinking through each level: Level 0: The average can be in [0, 100] Level 1: The average can be in [0, 67], which is 2/3 of the maximum average of ...

  4. Volunteer's dilemma - Wikipedia

    en.wikipedia.org/wiki/Volunteer's_dilemma

    The decision of each player can be viewed as determining two angles. Symmetric Nash equilibria that attain a payoff value of / for each player is shown, and each player volunteers at this Nash equilibrium. Furthermore, these Nash equilibria are Pareto optimal. It is shown that the payoff function of Nash equilibria in the quantum setting is ...

  5. Outcome (game theory) - Wikipedia

    en.wikipedia.org/wiki/Outcome_(game_theory)

    In other words, a Nash equilibrium is a set of strategies in which each player is doing the best possible, assuming what the others are doing to receive the most optimal outcome for themselves. [4] Not all games have a unique nash equilibrium and if they do, it may not be the most desirable outcome. [ 5 ]

  6. Solution concept - Wikipedia

    en.wikipedia.org/wiki/Solution_concept

    A Nash equilibrium is a strategy profile (a strategy profile specifies a strategy for every player, e.g. in the above prisoners' dilemma game (cooperate, defect) specifies that prisoner 1 plays cooperate and prisoner 2 plays defect) in which every strategy played by every agent (agent i) is a best response to every other strategy played by all the other opponents (agents j for every j≠i) .

  7. Non-cooperative game theory - Wikipedia

    en.wikipedia.org/wiki/Non-cooperative_game_theory

    The solutions are normally based on the concept of Nash equilibrium, and these solutions are reached by using methods listed in Solution concept. Most solutions used in non-cooperative game are refinements developed from Nash equilibrium, including the minimax mixed-strategy proved by John von Neumann. [8] [13] [20]

  8. Strong Nash equilibrium - Wikipedia

    en.wikipedia.org/wiki/Strong_Nash_equilibrium

    Further, it is possible for a game to have a Nash equilibrium that is resilient against coalitions less than a specified size k. CPNE is related to the theory of the core. Confusingly, the concept of a strong Nash equilibrium is unrelated to that of a weak Nash equilibrium. That is, a Nash equilibrium can be both strong and weak, either, or ...

  9. Public goods game - Wikipedia

    en.wikipedia.org/wiki/Public_goods_game

    The group's total payoff is maximized when everyone contributes all of their tokens to the public pool. However, the Nash equilibrium in this game is simply zero contributions by all; if the experiment were a purely analytical exercise in game theory it would resolve to zero contributions because any rational agent does best contributing zero, regardless of whatever anyone else does.