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SIGECOM
2006
ACM

Empirical mechanism design: methods, with application to a supply-chain scenario

12 years 3 months ago
Empirical mechanism design: methods, with application to a supply-chain scenario
Our proposed methods employ learning and search techniques to estimate outcome features of interest as a function of mechanism parameter settings. We illustrate our approach with a design task from a supply-chain trading competition. Designers adopted several rule changes in order to deter particular procurement behavior, but the measures proved insufficient. Our empirical mechanism analysis models the relation between a key design parameter and outcomes, confirming the observed behavior and indicating that no reasonable parameter settings would have been likely to achieve the desired effect. More generally, we show that under certain conditions, the estimator of optimal mechanism parameter setting based on empirical data is consistent. Categories and Subject Descriptors I.6 [Computing Methodologies]: Simulation and Modeling; J.4 [Computer Applications]: Social and Behavioral Sciences—Economics General Terms Algorithms, Economics, Design Keywords Empirical Mechanism Design, Game T...
Yevgeniy Vorobeychik, Christopher Kiekintveld, Mic
Added 14 Jun 2010
Updated 14 Jun 2010
Type Conference
Year 2006
Where SIGECOM
Authors Yevgeniy Vorobeychik, Christopher Kiekintveld, Michael P. Wellman
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