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Algorithmic Game Theory

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Cover of 'Algorithmic Game Theory'

Table of Contents

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    Book Overview
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    Chapter 1 Two-Buyer Sequential Multiunit Auctions with No Overbidding
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    Chapter 2 Asymptotically Optimal Communication in Simple Mechanisms
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    Chapter 3 Finding Fair and Efficient Allocations When Valuations Don’t Add Up
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    Chapter 4 Mechanism Design for Perturbation Stable Combinatorial Auctions
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    Chapter 5 Congestion Games with Priority-Based Scheduling
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    Chapter 6 Equilibrium Inefficiency in Resource Buying Games with Load-Dependent Costs
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    Chapter 7 A Unifying Approximate Potential for Weighted Congestion Games
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    Chapter 8 The Impact of Spillback on the Price of Anarchy for Flows over Time
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    Chapter 9 Dynamic Equilibria in Time-Varying Networks
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    Chapter 10 Price of Anarchy in Congestion Games with Altruistic/Spiteful Players
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    Chapter 11 Bribery and Control in Stable Marriage
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    Chapter 12 Approximating Stable Matchings with Ties of Bounded Size
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    Chapter 13 Envy-Freeness and Relaxed Stability: Hardness and Approximation Algorithms
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    Chapter 14 Targeted Intervention in Random Graphs
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    Chapter 15 A New Lower Bound for Deterministic Truthful Scheduling
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    Chapter 16 Modified Schelling Games
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    Chapter 17 Race Scheduling Games
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    Chapter 18 Line-Up Elections: Parallel Voting with Shared Candidate Pool
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    Chapter 19 Recognizing Single-Peaked Preferences on an Arbitrary Graph: Complexity and Algorithms
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    Chapter 20 A General Framework for Computing the Nucleolus via Dynamic Programming
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    Chapter 21 How Many Freemasons Are There? The Consensus Voting Mechanism in Metric Spaces
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Title
Algorithmic Game Theory
Published by
Springer International Publishing, November 2020
DOI 10.1007/978-3-030-57980-7
ISBNs
978-3-03-057979-1, 978-3-03-057980-7
Editors

Harks, Tobias, Klimm, Max

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