2018DEStech Transactions on Engineering and Technology ResearchOpen access

SPATIAL GAMES WITH PROBABILISTIC PAYOFF FUNCTION

Marzieh Soltanolkottabi, David Ben‐Arieh

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Abstract

Spatial games are a special type of evolutionary games in which players are distributed over a lattice and each player has local interactions with its neighbors. In the literature different methods for determining the conquering strategy has been used, mostly calculated based on a payoff function. Strategies in each stage of the game can be updated either synchronously or asynchronously. In all these methods, the payoff of playing against another player is a deterministic value which can be calculated based on the payoff matrix. In this study, we have examined the behavior of spatial games when payoff is not a deterministic value but it is a probabilistic one which depends on the benefit that each player can get in playing with the other players. Thus, every time that two players play with each other there is a probability for each of them to win the game and their payoff depends on the total value of the game.

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Spatial games are a special type of evolutionary games in which players are distributed over a lattice and each player has local interactions with its neighbors. In the literature different methods for determining the conquering strategy has been used, mostly calculated based on a payoff function. Strategies in each stage of the game can be updated either synchronously or asynchronously. In all these methods, the payoff of playing against another player is a deterministic value which can be calculated based on the payoff matrix. In this study, we have examined the behavior of spatial games when payoff is not a deterministic value but it is a probabilistic one which depends on the benefit that each player can get in playing with the other players. Thus, every time that two players play with each other there is a probability for each of them to win the game and their payoff depends on the total value of the game.

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Available abstract

Spatial games are a special type of evolutionary games in which players are distributed over a lattice and each player has local interactions with its neighbors. In the literature different methods for determining the conquering strategy has been used, mostly calculated based on a payoff function. Strategies in each stage of the game can be updated either synchronously or asynchronously. In all these methods, the payoff of playing against another player is a deterministic value which can be calculated based on the payoff matrix. In this study, we have examined the behavior of spatial games when payoff is not a deterministic value but it is a probabilistic one which depends on the benefit that each player can get in playing with the other players. Thus, every time that two players play with each other there is a probability for each of them to win the game and their payoff depends on the total value of the game.

Key concepts: Stochastic game, Probabilistic logic, Normal-form game, Mathematical economics, Computer science, Function (biology), Repeated game, Mathematical optimization

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