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In game theory the large poisson game is a game with a random number of players. More exactly, N, the number of players is a Poisson random variable. The type of each player is selected randomly independently of other players types from a given set T. Each player selects an action and then the payoffs are determined.

Contents

[edit] Example

[edit] Formal definitions

Large Poisson game - the collection (n,T,r,C,u), where:
n - the average number of players in the game
T - the set of all possible types for a player, (same for each player).
r - the probability distribution over T according to which the types are selected.
C - the set of all possible pure choices, (same for each player, same for each type).
u - the payoff (utility) function.


The total number of players, N is a poisson distributed random variable:
P(N=k)=e^{-n}\frac{n^{k}}{k!}


Stategy -


Nash equilibrium -

[edit] Simple probabilistic properties

Environmental equivalence - from the perspective of each player the number of other players is a Poisson random varible with mean n.

Decomposition property for types - the number of players of the type t is a Poisson random variable with mean nr(t)

Decomposition property for choices - the number of players who have chosen the choice c is a Poisson random variable with mean ...


Pivotal probability ordering Every limit of the form \lim_{n\to\infty}\frac{P}{P} is equal to 0 or to infinity. This means that all pivotal probability may be ordered from the most important to the least important.


Magnitude 2(\sqrt{xy}-\frac{x+y}{2}). This has a nice form: twice geometric mean minus arithmetic mean.

[edit] Existence of equilibrium

Theorem 1. Nash equilibrium exists.

Theorem 2. Nash equilibrium in undominated strategies exists.

[edit] Applications

Mainly large poisson games are used as models for voting procedures.

[edit] See also

Poisson distribution

[edit] Referencies





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