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Selfish Routing and the Price of Anarchy - 9780262549325

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9780262549325
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  • Product Details

    Author:
    Tim Roughgarden
    Format:
    Paperback
    Pages:
    240
    Publisher:
    MIT Press (September 19, 2023)
    Language:
    English
    ISBN-13:
    9780262549325
    ISBN-10:
    0262549328
    Weight:
    16oz
    Dimensions:
    7" x 9"
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260705T122003_156890353-20260705.xml
    Folder:
    RandomHouse
    List Price:
    $50.00
    Case Pack:
    24
    As low as:
    $38.50
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Audience:
    General/trade
    Country of Origin:
    United States
    Pub Discount:
    65
    Imprint:
    The MIT Press
  • Overview

    An analysis of the loss in performance caused by selfish, uncoordinated behavior in networks.

    Most of us prefer to commute by the shortest route available, without taking into account the traffic congestion that we cause for others. Many networks, including computer networks, suffer from some type of this "selfish routing." In Selfish Routing and the Price of Anarchy, Tim Roughgarden studies the loss of social welfare caused by selfish, uncoordinated behavior in networks. He quantifies the price of anarchy—the worst-possible loss of social welfare from selfish routing—and also discusses several methods for improving the price of anarchy with centralized control.

    Roughgarden begins with a relatively nontechnical introduction to selfish routing, describing two important examples that motivate the problems that follow. The first, Pigou's Example, demonstrates that selfish behavior need not generate a socially optimal outcome. The second, the counterintiuitve Braess's Paradox, shows that network improvements can degrade network performance. He then develops techniques for quantifying the price of anarchy (with Pigou's Example playing a central role). Next, he analyzes Braess's Paradox and the computational complexity of detecting it algorithmically, and he describes Stackelberg routing, which improves the price of anarchy using a modest degree of central control. Finally, he defines several open problems that may inspire further research. Roughgarden's work will be of interest not only to researchers and graduate students in theoretical computer science and optimization but also to other computer scientists, as well as to economists, electrical engineers, and mathematicians.