859 research outputs found
Malicious Bayesian Congestion Games
In this paper, we introduce malicious Bayesian congestion games as an
extension to congestion games where players might act in a malicious way. In
such a game each player has two types. Either the player is a rational player
seeking to minimize her own delay, or - with a certain probability - the player
is malicious in which case her only goal is to disturb the other players as
much as possible.
We show that such games do in general not possess a Bayesian Nash equilibrium
in pure strategies (i.e. a pure Bayesian Nash equilibrium). Moreover, given a
game, we show that it is NP-complete to decide whether it admits a pure
Bayesian Nash equilibrium. This result even holds when resource latency
functions are linear, each player is malicious with the same probability, and
all strategy sets consist of singleton sets. For a slightly more restricted
class of malicious Bayesian congestion games, we provide easy checkable
properties that are necessary and sufficient for the existence of a pure
Bayesian Nash equilibrium.
In the second part of the paper we study the impact of the malicious types on
the overall performance of the system (i.e. the social cost). To measure this
impact, we use the Price of Malice. We provide (tight) bounds on the Price of
Malice for an interesting class of malicious Bayesian congestion games.
Moreover, we show that for certain congestion games the advent of malicious
types can also be beneficial to the system in the sense that the social cost of
the worst case equilibrium decreases. We provide a tight bound on the maximum
factor by which this happens.Comment: 18 pages, submitted to WAOA'0
Computer Science and Game Theory: A Brief Survey
There has been a remarkable increase in work at the interface of computer
science and game theory in the past decade. In this article I survey some of
the main themes of work in the area, with a focus on the work in computer
science. Given the length constraints, I make no attempt at being
comprehensive, especially since other surveys are also available, and a
comprehensive survey book will appear shortly.Comment: To appear; Palgrave Dictionary of Economic
Game theory for cooperation in multi-access edge computing
Cooperative strategies amongst network players can improve network performance and spectrum utilization in future networking environments. Game Theory is very suitable for these emerging scenarios, since it models high-complex interactions among distributed decision makers. It also finds the more convenient management policies for the diverse players (e.g., content providers, cloud providers, edge providers, brokers, network providers, or users). These management policies optimize the performance of the overall network infrastructure with a fair utilization of their resources. This chapter discusses relevant theoretical models that enable cooperation amongst the players in distinct ways through, namely, pricing or reputation. In addition, the authors highlight open problems, such as the lack of proper models for dynamic and incomplete information scenarios. These upcoming scenarios are associated to computing and storage at the network edge, as well as, the deployment of large-scale IoT systems. The chapter finalizes by discussing a business model for future networks.info:eu-repo/semantics/acceptedVersio
Altruism in Atomic Congestion Games
This paper studies the effects of introducing altruistic agents into atomic
congestion games. Altruistic behavior is modeled by a trade-off between selfish
and social objectives. In particular, we assume agents optimize a linear
combination of personal delay of a strategy and the resulting increase in
social cost. Our model can be embedded in the framework of congestion games
with player-specific latency functions. Stable states are the Nash equilibria
of these games, and we examine their existence and the convergence of
sequential best-response dynamics. Previous work shows that for symmetric
singleton games with convex delays Nash equilibria are guaranteed to exist. For
concave delay functions we observe that there are games without Nash equilibria
and provide a polynomial time algorithm to decide existence for symmetric
singleton games with arbitrary delay functions. Our algorithm can be extended
to compute best and worst Nash equilibria if they exist. For more general
congestion games existence becomes NP-hard to decide, even for symmetric
network games with quadratic delay functions. Perhaps surprisingly, if all
delay functions are linear, then there is always a Nash equilibrium in any
congestion game with altruists and any better-response dynamics converges. In
addition to these results for uncoordinated dynamics, we consider a scenario in
which a central altruistic institution can motivate agents to act
altruistically. We provide constructive and hardness results for finding the
minimum number of altruists to stabilize an optimal congestion profile and more
general mechanisms to incentivize agents to adopt favorable behavior.Comment: 13 pages, 1 figure, includes some minor adjustment
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