2018•Unpublished venueRequires access

THE GAME THEORY AND SIMULATION WITH FINITEMIXED STRATEGY OF TWO-PLAYERS ZERO SUM GAME, AND

J. O. Okoro, A. Oghenekevwe, Nathaniel Kayode Oladejo

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Abstract

We explain the concept and theory behind game theory and simulation. How game theory can be used to simulate competition existing in the market, business organisation, and even in the management setting. The game we consider here is the zero-sum game. We show types strategies game players in a real market situation should adopt. We show how we minimise our losses and maximise our gain by introducing the concept of maxmin and min-max. We analysed finite payoff matrix of a zero sum-game using some fundamental principles. We apply the theory of mixed strategies with a game without a saddle point. We show that the dual linear programming problem of one player is the linear programming problem of the other player. The four methods available in solving mixed strategy of two-players zero-sum game was analysed by showing the application of linear programming problem to game theory. We use these techniques to simulate possible mixed strategy of two-players zero-sum game using the Microsoft excel package.

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What this paper is about

We explain the concept and theory behind game theory and simulation. How game theory can be used to simulate competition existing in the market, business organisation, and even in the management setting. The game we consider here is the zero-sum game. We show types strategies game players in a real market situation should adopt. We show how we minimise our losses and maximise our gain by introducing the concept of maxmin and min-max. We analysed finite payoff matrix of a zero sum-game using some fundamental principles. We apply the theory of mixed strategies with a game without a saddle point. We show that the dual linear programming problem of one player is the linear programming problem of the other player. The four methods available in solving mixed strategy of two-players zero-sum game was analysed by showing the application of linear programming problem to game theory. We use these techniques to simulate possible mixed strategy of two-players zero-sum game using the Microsoft excel package.

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Available abstract

We explain the concept and theory behind game theory and simulation. How game theory can be used to simulate competition existing in the market, business organisation, and even in the management setting. The game we consider here is the zero-sum game. We show types strategies game players in a real market situation should adopt. We show how we minimise our losses and maximise our gain by introducing the concept of maxmin and min-max. We analysed finite payoff matrix of a zero sum-game using some fundamental principles. We apply the theory of mixed strategies with a game without a saddle point. We show that the dual linear programming problem of one player is the linear programming problem of the other player. The four methods available in solving mixed strategy of two-players zero-sum game was analysed by showing the application of linear programming problem to game theory. We use these techniques to simulate possible mixed strategy of two-players zero-sum game using the Microsoft excel package.

Key concepts: Zero-sum game, Normal-form game, Repeated game, Screening game, Example of a game without a value, Game theory, Combinatorial game theory, Strategy

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