
Algorithmic Game Theory
by Edited by Noam Nisan , Tim Roughgarden , Eva Tardos , Vijay V. VaziraniBuy New
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Summary
Table of Contents
Introduction | |
Computing in Games | |
Basic solution concepts and computational issues | |
Algorithms for equilibria | |
Equilibrium computation for games in strategic and extensive form | |
Learning, regret minimization and correlated equilibria | |
Graphical games | |
Cryptography and game theory | |
Combinatorial algorithms for market equilibria Vijay V. Vazirani | |
Computation of market equilibria by convex programming | |
Algorithmic Mechanism Design | |
Introduction to mechanism design (for computer scientists) | |
Mechanism design without money | |
Combinatorial auctions | |
Computationally efficient approximation mechanisms | |
Profit maximization in mechanism design | |
Distributed algorithmic mechanism design | |
Cost sharing | |
On-line mechanisms | |
Quantifying the Inefficiency of Equilibria | |
Introduction to the inefficiency of equillibria | |
Routing games | |
Inefficiency of equilibria in network formation games | |
Selfish load-balancing | |
Efficiency loss and the design of scalable resource allocation mechanisms | |
Additional Topics | |
Incentives and pricing in communication networks | |
Incentives in peer-to-peer systems | |
Cascading behavior in networks: algorithmic and economic issues | |
Incentives and information security | |
Computational aspects of information markets | |
Manipulation-resistant reputation systems | |
Sponsored search auctions | |
Algorithmic issues in evolutionary game theory | |
Table of Contents provided by Publisher. All Rights Reserved. |
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