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Lecture Notes in Computer Science
We study the problem of welfare maximization in a novel setting motivated by the standard stochastic two-stage optimization with recourse model. We identify and address algorithmic and game-theoretic challenges that arise from this framework. In contrast, prior work in algorithmic mechanism design has focused almost exclusively on optimization problems without uncertainty. We make two kinds of contributions. First, we introduce a family of mechanisms that induce truth-telling in generaldoi:10.1007/978-3-540-77105-0_26 dblp:conf/wine/IeongSS07 fatcat:ednincdrw5guhhut7cktxc5cqi