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Searching One Pure-Strategy Nash Equilibrium Using a Distributed Computation Approach

机译:使用分布式计算方法搜索一个纯策略的纳什均衡

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—A distributed implementation of Dang’s Fixed- Point algorithm is proposed for searching one Nash equilibrium of a finite n-person game in normal form. In this paper, the problem consists of two subproblems. One is changing the problem form to a mixed 0-1 linear programming form. This process is derived from applications of the properties of pure strategy and multilinear terms in the payoff function. The other subproblem is to solve the 0-1 linear programming generated in the former subproblem. A distributed computation network which is based on the Dang’s Fixed-Point method is built to solve this 0-1 linear programming. Numerical results show that this distributed computation network is effective to finding a pure-strategy Nash equilibrium of a finite n-person game in normal form and it can be easily extended to other NP-hard problems.
机译:- 提出了DANG的定点算法的分布式实现,用于以正常形式搜索一个有限N人游戏的纳什平衡。在本文中,问题由两个子问题组成。一个是将问题表单更改为混合的0-1线性编程表单。此过程源于纯策略和多线性术语在收益函数中的应用。另一个子问题是解决前副产中生成的0-1线性编程。构建基于DANG的定点方法的分布式计算网络以解决该0-1线性编程。数值结果表明,该分布式计算网络有效地在正常形式中找到有限N人游戏的纯策略纳什均衡,并且可以很容易地扩展到其他NP难题。

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