payoff matrix

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payoff matrix

[′pā‚ȯf ‚mā·triks]
(mathematics)
A matrix arising from certain two-person games which gives the amount gained by a player.
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This approach, however, requires transforming a Bayesian game into a normal form game using the Harsanyi transformation (Harsanyi and Selten 1972).
The transformed, normal form game is shown in figure 5.
Each game between LAWA and one adversary type is modeled as a normal form game.
The second approach, the multiple-LPs method, requires a Bayesian game to be transformed into a normal form game using the Harsanyi transformation (Harsanyi and Selten 1972).
Campos (1989) uses linear programming to model matrix games, and Billot (1992) uses lexicographic fuzzy preferences to identify equilibria in a normal form game.
Let G = (N, S, II) be the triple that defines a standard normal form game where N= {1,2} is the set of players in the game.
The usual normal form game is now replaced by a modified game in a fuzzy environment, which we will call a "fuzzy game.
To solve the games for bargaining outcomes, the only formal skill that a potential user of the model needs is an understanding of the concept of Nash equilibrium to solve static normal form games.
There is no endogenous treatment of change through the repeated analysis of normal form games, only some indirect assessment through the concept of goodwill, which is discussed at length in a technical appendix.