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Mechanism Design With Approximate Player Types
We investigate mechanism design when the players do not exactly know their types, but have instead only partial information about them.
Bridging Utility Maximization and Regret Minimization
We relate the strategies obtained by (1) utility maximizers who use regret to refine their set of undominated strategies, and (2) regret minimizers who use weak domination to refine their sets of regret-minimizing strategies.
A Social-Welfare Optimal Probabilistic Mechanism for Knightian Single-Good Auctions
We provide an optimal probabilistic mechanism for maximizing social welfare in single-good auctions when each player does not know his true valuation for the good, but only a set of valuations that is guaranteed to include ...
Mechanism Design with Approximate Valuations
In mechanism design, we replace the strong assumption that each player knows his own payoff type EXACTLY with the more realistic assumption that he knows it only APPROXIMATELY. Specifically, we study the classical problem ...