Local Two-Stage Myopic Dynamics for Network Formation Games

被引:0
|
作者
Arcaute, Esteban [1 ]
Johari, Ramesh [2 ]
Mannor, Shie [3 ]
机构
[1] Stanford Univ, Inst Computat & Math Engn, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Management Sci & Engn, Stanford, CA 94305 USA
[3] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
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中图分类号
F [经济];
学科分类号
02 ;
摘要
Network formation games capture two conflicting objectives of self-interested nodes in a network. On one hand, such a node wishes to be able to reach all other nodes in the network; on the other hand, it wishes to minimize its cost of participation. We focus on myopic dynamics in a class of such games inspired by transportation and communication models. A key property of the dynamics we study is that they are local: nodes can only deviate to form links with others in a restricted neighborhood. Despite this locality, we find that our dynamics converge to efficient or nearly efficient outcomes in a range of settings of interest.
引用
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页码:263 / +
页数:4
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