دانلود مقاله ISI انگلیسی شماره 9644
عنوان فارسی مقاله

استحکام یک مدل شبیه سازی تعادل نش: رویکرد تئوری بازی با استفاده از طرح متغیر متریک

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
9644 2011 9 صفحه PDF سفارش دهید 4540 کلمه
خرید مقاله
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عنوان انگلیسی
The robustness of a Nash equilibrium simulation model: Game-theoretic approach using variable metric projection
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Mathematics and Computers in Simulation, Volume 81, Issue 7, March 2011, Pages 1518–1526

کلمات کلیدی
- تعادل نش - انحصار چند جانبه - مدل شبیه سازی
پیش نمایش مقاله
پیش نمایش مقاله استحکام یک مدل شبیه سازی تعادل نش: رویکرد تئوری بازی با استفاده از طرح متغیر متریک

چکیده انگلیسی

This paper proposes a Nash equilibrium model that applies continuous time replicator dynamics to the analysis of oligopoly markets. The robustness of the proposed simple Nash equilibrium model under the simultaneous constraints of allocation of product and market share using a simulation method to derive an optimal solution for production decisions by rival firms in oligopoly markets is tested by changing profit and cost function parameters, as well as the initial production values and market shares of the firms examined in this study. The effects of differences in conjectural variation and initial allocation of market share on the convergent values are considered, particularly in the case of corner solutions. This approach facilitates the understanding of the robustness of attaining equilibrium in an oligopoly market.

مقدمه انگلیسی

Oligopoly markets prevail in developed countries in both the industrial and service sectors. See, for example, Dixit [3], which examines the U.S. automobile industry, and Klepper [4], which examines the airline industry. Competition and conjecture play an important role in improving profits in oligopoly firms. The decision-making process and solution under such circumstances has been studied in game theory. In the game-theoretic approach, one usually focuses on two problems: (1) What is a rational strategy regarding rational allocation in a market among agents that compete with each other in an oligopoly market? (2) How do they change their behavior in order to reach the rational allocation? The former is a static problem to obtain a desirable strategy under the conditions of competition and conjecture, while the latter is a dynamic problem to find a continuous modification that moves toward the desirable strategy. In this study, we propose a simple Nash equilibrium model and use a simulation method to derive an optimal solution for production decisions by rival firms in oligopoly markets. Aiyoshi and Maki [1] proposed a Nash equilibrium model that applies continuous time replicator dynamics to the analysis of oligopoly markets. Here we consider the game problem of allocating both product and market share, namely resource allocation within the firm to produce their products and allocation of market share among firms for each product. We will propose a replicator dynamic equation to change strategies in order to obtain the Nash equilibrium solutions. The stable solutions for the replicator dynamic equation are the Nash equilibria. The dynamic process of the game-theoretic approach using the variable metric projection method obtains the Nash equilibria with the double allocation constraints.

نتیجه گیری انگلیسی

Because oligopoly firms usually produce a variety of products, it is important to simultaneously understand the determination of market shares among firms and the product mix within a firm. As the total amount of production for both firms and commodities is a priori given in the model as the constraint, managers are able to consider production strategy relying on the profit functions in the model. After the functional form and parameters are fixed, the convergent process is managed by the replicator dynamics algorithm. Using the Nash equilibrium simulation model, we can generate various optimal paths for production by changing the conjectures of firms. The algorithm presented here is well suited for assessing policy simulation using real-world observations.

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