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TWO-PERSON KNAPSACK GAME

机译:两人背包游戏

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摘要

In this paper, we study a two-person knapsack game. Two investors, each with an individual budget, bid on a common pool of potential projects. To undertake a project, investors have their own cost estimation to be charged against their budgets. Associated with each project, there is a potential market profit that can be taken by the only bidder or shared proportionally by both bidders. The objective function of each investor is assumed to be a linear combination of the two bidders' profits. Both investors act in a selfish manner with best-response to optimize their own objective functions by choosing portfolios under the budget restriction. We show that pure Nash equilibrium exists under certain conditions. In this case, no investor can improve the objective by changing individual bid unilaterally. A pseudo polynomial-time algorithm is presented for generating a pure Nash equilibrium. We also investigate the price of anarchy (the ratio of the worst Nash equilibrium to the social optimum) associated with a simplified two-person knapsack game.
机译:在本文中,我们研究了一个两人背包游戏。两名拥有各自预算的投资者竞标共同的潜在项目库。为了进行一个项目,投资者有自己的成本估算,要从预算中扣除。与每个项目相关联,潜在的市场利润可以由唯一的投标人获得,也可以由两个投标人按比例分配。假定每个投资者的目标函数是两个投标人利润的线性组合。两位投资者都以最自私的方式做出最佳反应,通过在预算限制下选择投资组合来优化自己的目标功能。我们证明在某些条件下存在纯纳什均衡。在这种情况下,任何投资者都无法通过单方面更改单个出价来提高目标。提出了一种伪多项式时间算法,用于生成纯Nash平衡。我们还研究了与简化的两人背包游戏相关的无政府状态的价格(最坏的纳什均衡与社会最优比率)。

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