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  2. Normal-form game - Wikipedia

    en.wikipedia.org/wiki/Normal-form_game

    A payoff function for a player is a mapping from the cross-product of players' strategy spaces to that player's set of payoffs (normally the set of real numbers, where the number represents a cardinal or ordinal utility—often cardinal in the normal-form representation) of a player, i.e. the payoff function of a player takes as its input a ...

  3. Risk dominance - Wikipedia

    en.wikipedia.org/wiki/Risk_dominance

    Risk dominance and payoff dominance are two related refinements of the Nash equilibrium (NE) solution concept in game theory, defined by John Harsanyi and Reinhard Selten.A Nash equilibrium is considered payoff dominant if it is Pareto superior to all other Nash equilibria in the game. 1 When faced with a choice among equilibria, all players would agree on the payoff dominant equilibrium since ...

  4. Qiqqa - Wikipedia

    en.wikipedia.org/wiki/Qiqqa

    Qiqqa (pronounced "Quicker") is a free and open-source [1] [2] software that allows researchers to work with thousands of PDFs. [3] It combines PDF reference management tools, a citation manager, and a mind map brainstorming tool.

  5. Strategic dominance - Wikipedia

    en.wikipedia.org/wiki/Strategic_dominance

    In game theory, a dominant strategy is a strategy that is better than any other strategy for a player, no matter how that player's opponent or opponents play. Strategies that are dominated by another strategy can be eliminated from consideration, as they can be strictly improved upon. Some very simple games can be solved using dominance.

  6. Nash equilibrium - Wikipedia

    en.wikipedia.org/wiki/Nash_equilibrium

    The rule goes as follows: if the first payoff number, in the payoff pair of the cell, is the maximum of the column of the cell and if the second number is the maximum of the row of the cell - then the cell represents a Nash equilibrium.

  7. Bayesian game - Wikipedia

    en.wikipedia.org/wiki/Bayesian_game

    Payoff functions, u: Assign a payoff to a player given their type and the action profile. A payoff function, u= (u 1 , . . . , u N ) denotes the utilities of player i Prior, p : A probability distribution over all possible type profiles, where p(t) = p(t 1 , . . . ,t N ) is the probability that Player 1 has type t 1 and Player N has type t N .

  8. Template:Payoff matrix/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Payoff_matrix/doc

    This is a documentation subpage for Template:Payoff matrix. It may contain usage information, categories and other content that is not part of the original template page. Usage

  9. Evolutionary game theory - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_game_theory

    The pay-off for any single round of the game is defined by the pay-off matrix for a single round game (shown in bar chart 1 below). In multi-round games the different choices – co-operate or defect – can be made in any particular round, resulting in a certain round payoff.

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