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The Price of Anarchy for Polynomial Social Cost

机译:多项式社会成本的无政府状态价格

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In this work, we consider an interesting variant of the well-studied KP model for selfish routing that reflects some influence from the much older Wardrop model. In the new model, user traffics are still unsplittable, while social cost is now the expectation of the sum, over all links, of a certain polynomial evaluated at the total latency incurred by all users choosing the link; we call it polynomial social cost. The polynomials that we consider have non-negative coefficients. We are interested in evaluating Nash equilibria in this model, and we use the Price of Anarchy as our evaluation measure. We prove the Fully Mixed Nash Equilibrium Conjecture for identical users and two links, and establish an approximate version of the conjecture for arbitrary many links. Moreover, we give upper bounds on the Price of Anarchy.
机译:在这项工作中,我们考虑了经过充分研究的KP模型的一个有趣的变体,用于自私路由,反映了来自更早的Wardrop模型的某些影响。在新模型中,用户流量仍然是不可分割的,而社会成本现在是所有链路上某个多项式总和的期望值,该多项式的总和是由选择该链路的所有用户所引起的总延迟来评估的;我们称其为多项式社会成本。我们认为的多项式具有非负系数。我们有兴趣评估此模型中的纳什均衡,并使用无政府定价作为我们的评估指标。我们证明了相同用户和两个链接的完全混合Nash平衡猜想,并为任意多个链接建立了猜想的近似版本。此外,我们给出了无政府定价的上限。

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