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Finding the Pure-Strategy Nash Equilibrium Using a Fixed-Point Algorithm

机译:使用固定点算法找到纯策略纳什均衡

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It is well known that determining whether a finite game has a pure-strategy Nash equilibrium is an NP-hard problem and it is an active research topic to find a Nash equilibrium recently. In this paper, an implementation of Dang's Fixed-Point iterative method is introduced to find a pure-strategy Nash equilibrium of a finite n-person game in normal form. There are two steps to find one pure-strategy Nash equilibrium in this paper. The first step is converting the problem to a mixed 0-1 linear programming formulation based on the properties of pure strategy and multilinear terms in the payoff function. In the next step, the Dang's method is used to solve the formulation generated in the former step. Numerical results show that this method is effective to find a pure-strategy Nash equilibrium of a finite n-person game in normal form.
机译:众所周知,确定有限游戏是否具有纯策略的纳什均衡是一个NP难题,它是最近找到纳什均衡的积极研究主题。在本文中,引入了DANG的定点迭代方法的实施,以寻找正常形式的有限N人游戏的纯策略纳入均衡。在本文中找到一个纯策略纳什均衡有两个步骤。第一步是基于支付功能中的纯策略和多线性术语的特性将问题转换为混合的0-1线性编程配方。在下一步中,DANG的方法用于解决前一步骤中产生的制剂。数值结果表明,该方法有效地以正常形式找到有限N人游戏的纯策略纳什均衡。

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