Game theory is the study of decision problems in which there are multiple decision makers
and the quality of a decision maker's choice depends on both that choice and the choices of …

Game theory has been employed traditionally as a modeling tool for describing and
influencing behavior in societal systems. Recently, game theory has emerged as a valuable …

Game-theoretic tools are becoming a popular design choice for distributed resource
allocation algorithms. A central component of this design choice is the assignment of utility …

There is a growing interest in the application of game theoretic methods to the design and
control of multiagent systems. However, the existing game theoretic framework possesses …

A central goal in algorithmic game theory is to analyze the performance of decentralized
multiagent systems, like communication and information networks. In the absence of a …

Emerging on-demand sharing alternatives, in which one resource is utilised simultaneously
by a circumstantial group of users, entail several challenges regarding how to coordinate …

Large computer networks such as the Internet are built, operated, and used by a large
number of diverse and competitive entities. In light of these competing forces, it is surprising …

Game-theoretic control is a promising new approach for distributed resource allocation. In
this paper, we describe how game-theoretic control can be viewed as having an intrinsic …

We consider the problem of designing distribution rules to share “welfare”(cost or revenue)
among individually strategic agents. There are many known distribution rules that guarantee …

This chapter presents motivation and definitions for quantifying the inefficiency of equilibria
in noncooperative games. We illustrate the basic concepts in four fundamental network …