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相关论文: The Value of Information in Selfish Routing

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We study a class of games in which a finite number of agents each controls a quantity of flow to be routed through a network, and are able to split their own flow between multiple paths through the network. Recent work on this model has…

计算机科学与博弈论 · 计算机科学 2007-11-09 P. W. Goldberg , P. Polpinit

In many scenarios, networks emerge endogenously as cognitive agents establish links in order to exchange information. Network formation has been widely studied in economics, but only on the basis of simplistic models that assume that the…

社会与信息网络 · 计算机科学 2015-08-13 Ahmed M. Alaa , Kartik Ahuja , Mihaela Van der Schaar

This paper examines the behavior of the price of anarchy as a function of the traffic inflow in nonatomic congestion games with multiple origin-destination (O/D) pairs. Empirical studies in real-world networks show that the price of anarchy…

计算机科学与博弈论 · 计算机科学 2018-04-12 Riccardo Colini-Baldeschi , Roberto Cominetti , Panayotis Mertikopoulos , Marco Scarsini

In congestion games, users make myopic routing decisions to jam each other, and the social planner with the full information designs mechanisms on information or payment side to regulate. However, it is difficult to obtain time-varying…

计算机科学与博弈论 · 计算机科学 2023-02-14 Hongbo Li , Lingjie Duan

The Internet is a loose amalgamation of independent service providers acting in their own self-interest. We examine the implications of this economic reality on peering relationships. Specifically, we consider how the incentives of the…

计算机科学与博弈论 · 计算机科学 2007-05-23 Jacomo Corbo , Thomas Petermann

The inefficiency of selfish routing in congested networks is a classical problem in algorithmic game theory, often captured by the Price of Anarchy (i.e., the ratio between the social cost of decentralized decisions and that of a centrally…

计算机科学与博弈论 · 计算机科学 2025-08-12 Ivan Geffner , Erez Karpas , Moshe Tennenholtz

How can a system designer exploit system-level knowledge to derive incentives to optimally influence social behavior? The literature on network routing contains many results studying the application of monetary tolls to influence behavior…

计算机科学与博弈论 · 计算机科学 2019-07-25 Bryce L. Ferguson , Philip N. Brown , Jason R. Marden

We analyze the network congestion game with atomic players, asymmetric strategies, and the maximum latency among all players as social cost. This important social cost function is much less understood than the average latency. We show that…

计算机科学与博弈论 · 计算机科学 2012-10-02 Xujin Chen , Benjamin Doerr , Xiaodong Hu , Weidong Ma , Rob van Stee , Carola Winzen

Recent research in the social sciences has identified situations in which small changes in the way that information is provided to consumers can have large aggregate effects on behavior. This has been promoted in popular media in areas of…

计算机科学与博弈论 · 计算机科学 2022-07-06 Philip N. Brown

We reconsider the well-studied Selfish Routing game with affine latency functions. The Price of Anarchy for this class of games takes maximum value 4/3; this maximum is attained already for a simple network of two parallel links, known as…

计算机科学与博弈论 · 计算机科学 2015-03-20 George Christodoulou , Kurt Mehlhorn , Evangelia Pyrga

Mobile social network applications constitute an important platform for traffic information sharing, helping users collect and share sensor information about the driving conditions they experience on the traveled path in real time. In this…

计算机科学与博弈论 · 计算机科学 2018-12-04 Yunpeng Li , Costas Courcoubetis , Lingjie Duan

In a traffic network, vehicles normally select their routes selfishly. Consequently, traffic networks normally operate at an equilibrium characterized by Wardrop conditions. However, it is well known that equilibria are inefficient in…

计算机科学与博弈论 · 计算机科学 2019-04-03 Negar Mehr , Roberto Horowitz

Varied real world systems such as transportation networks, supply chains and energy grids present coordination problems where many agents must learn to share resources. It is well known that the independent and selfish interactions of…

计算机科学与博弈论 · 计算机科学 2025-02-27 Cesare Carissimo , Marcin Korecki , Damian Dailisan

We study the equilibrium behavior in a multi-commodity selfish routing game with many types of uncertain users where each user over- or under-estimates their congestion costs by a multiplicative factor. Surprisingly, we find that…

计算机科学与博弈论 · 计算机科学 2018-01-12 Shreyas Sekar , Liyuan Zheng , Lillian J. Ratliff , Baosen Zhang

In this paper, we study a routing and travel-mode choice problem for mobility systems with a multimodal transportation network as a ``mobility game" with coupled action sets. We develop a game-theoretic framework to study the impact on…

计算机科学与博弈论 · 计算机科学 2022-12-15 Ioannis Vasileios Chremos , Andreas A. Malikopoulos

In many decision-making scenarios, individuals strategically choose what information to disclose to optimize their own outcomes. It is unclear whether such strategic information disclosure can lead to good societal outcomes. To address this…

计算机科学与博弈论 · 计算机科学 2026-04-07 Siddhartha Banerjee , Kamesh Munagala , Yiheng Shen , Kangning Wang

Algorithmic-matching sites offer users access to an unprecedented number of potential mates. However, they also pose a principal-agent problem with a potential moral hazard. The agent's interest is to maximize usage of the Web site, while…

计算机科学与博弈论 · 计算机科学 2019-02-19 Andrés Abeliuk , Khaled Elbassioni , Talal Rahwan , Manuel Cebrian , Iyad Rahwan

The price of anarchy has become a standard measure of the efficiency of equilibria in games. Most of the literature in this area has focused on establishing worst-case bounds for specific classes of games, such as routing games or more…

计算机科学与博弈论 · 计算机科学 2022-06-09 Roberto Cominetti , Valerio Dose , Marco Scarsini

Autonomous vehicles have the potential to increase the capacity of roads via platooning, even when human drivers and autonomous vehicles share roads. However, when users of a road network choose their routes selfishly, the resulting traffic…

最优化与控制 · 数学 2020-06-05 Erdem Bıyık , Daniel A. Lazar , Dorsa Sadigh , Ramtin Pedarsani

During a pandemic people have to find a trade-off between meeting others and staying safely at home. While meeting others is pleasant, it also increases the risk of infection. We consider this dilemma by introducing a game-theoretic network…

计算机科学与博弈论 · 计算机科学 2022-04-26 Tobias Friedrich , Hans Gawendowicz , Pascal Lenzner , Anna Melnichenko