Algorithmic Game Theory
Description
This volume constitutes the refereed proceedings of 17th International Symposium on Algorithmic Game Theory, SAGT 2024, held in Amsterdam, The Netherlands, during September 3-6, 2024.
The 29 full papers included in this book were carefully reviewed and selected from 84 submissions. They were organized in topical sections as follows: matching; fair division and resource allocation; mechanism design; game theory and repeated games; pricing, revenue, and regulation; matroid theory in game theory; information sharing and decision making; computational complexity and resource allocation.
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Content
.- The Computational Complexity of the Housing Market.
.- Ex-post Stability under Two-Sided Matching: Complexity and Characterization.
.- Approval-Based Committee Voting under Uncertainty.
.- Matching.
.- Structural and Algorithmic Results for Stable Cycles and Partitions in the Roommates Problem.
.- Online Matching with High Probability.
.- The Team Order Problem: Maximizing the Probability of Matching Being Large Enough.
.- Fair Division and Resource Allocation.
.- Fair Division of Chores with Budget Constraints.
.- Fair Division with Interdependent Values.
.- Fair Division with Bounded Sharing: Binary and Non-Degenerate Valuations.
.- Incentives in Dominant Resource Fair Allocation under Dynamic Demands.
.- Mechanism Design.
.- Agent-Constrained Truthful Facility Location Games.
.- The k-Facility Location Problem Via Optimal Transport: A Bayesian Study of the Percentile Mechanisms.
.- Discrete Single-Parameter Optimal Auction Design.
.- Estimating the Expected Social Welfare and Cost of Random Serial Dictatorship.
.- Game Theory and Repeated Games.
.- Swim Till You Sink: Computing the Limit of a Game.
.- The Investment Management Game: Extending the Scope of the Notion of Core.
.- Edge-Dominance Games on Graphs.
.- Playing Repeated Games with Sublinear Randomness.
.- Pricing, Revenue, and Regulation.
.- Mind the Revenue Gap: On the Performance of Approximation Mechanisms under Budget Constraints.
.- Sublogarithmic Approximation for Tollbooth Pricing on a Cactus.
.- To Regulate or Not to Regulate: Using Revenue Maximization Tools to Maximize Consumer Utility.
.- Balancing Participation and Decentralization in Proof-of-Stake Cryptocurrencies.
.- Matroid Theory in Game Theory.
.- Price of Anarchy in Paving Matroid Congestion Games.
.- Price of Anarchy for Graphic Matroid Congestion Games.
.- Non-Adaptive Matroid Prophet Inequalities.
.- Matroid Bayesian Online Selection.
.- Information Sharing and Decision Making.
.- Prediction-Sharing During Training and Inference.
.- Calibrated Recommendations for Users with Decaying Attention.
.- Matrix Rationalization via Partial Orders.
.- Computational Complexity and Resource Allocation.
.- k-Times Bin-Packing and its Application to Fair Electricity Distribution.
.- Condorcet Markets.
.- Complexity of Round-Robin Allocation with Potentially Noisy Queries.
