payoff function sentence in Hindi
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- The type of a player determines that player's payoff function.
- A payoff function is a 2-place function of strategy profiles and types.
- Observe that the payoff function of Sion and Wolfe's example is clearly not semicontinuous.
- If the payoff function " K " is upper semicontinuous, then the game has a value.
- Different pricing formulae for various options will arise from the choice of payoff function at expiry and appropriate boundary conditions.
- The price of the option the value of the optionality thus reflects the convexity of the payoff function.
- In a Bayesian game, one has to specify strategy spaces, type spaces, payoff functions and beliefs for every player.
- We can define the payoff function which gives the profit of each firm as a function of the two outputs chosen by the firms.
- The payoff functions are generally classified into two categories : ( 1 ) determined by a single day; ( 2 ) determined by a longer period.
- P1 is satisfied since the payoff function ensures that the market price is consistent with the outputs supplied and that each firms profits equal revenue minus cost at this output.
- In a Bayesian game, the incompleteness of information means that at least one player is unsure of the type ( and so the payoff function ) of another player.
- Subsequent work by Heuer discusses a class of games in which the unit square is divided into three regions, the payoff function being constant in each of the regions.
- In words, payoff functions in aggregative games depend on players "'own strategies " and the " aggregate " \ sum s _ j.
- More recently, viscosity solutions to the infinity Laplace equation have been identified with the payoff functions from "'randomized tug-of-war "'games.
- More formally, as before if denotes the set of all options, and we have the payoff function " " " which gives the payoff enjoyed by the agent for each option.
- The focal point approach argues that the law cannot change the payoff functions of individuals and the game that people play in life since a law is nothing but some ink on paper ( words written down somewhere ).
- The first partial derivative of each payoff function with respect to the follower's ( firm 2 ) strategy variable ( q2 ) and finding its best response function, q2 ( q1 ) = ( 5000-q1-c2 ) / 2.
- Here, \ sigma \ in \ Sigma, where \ Sigma = \ Sigma _ i \ times \ Sigma _ {-i }, is a mixed-strategy profile in the set of all mixed strategies and u _ i is the payoff function for player i.
- If a player has payoff function U ( x, y ) and he has type t, the payoff he receives is U ( x ^ *, t ), where x ^ * is the strategy profile played in the game ( i . e . the vector of strategies played ).
- In static games of 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 strategy profile ( that is a specification of strategies for every player ) and yields a representation of payoff as its output.
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