Understanding Incentives: Mechanism Design Becomes Algorithm Design

We provide a computationally efficient black-box reduction from mechanism design to algorithm design in very general settings. Specifically, we give an approximation-preserving reduction from truthfully maximizing any objective under arbitrary feasibility constraints with arbitrary bidder types to (...

Full description

Bibliographic Details
Main Authors: Cai, Yang, Daskalakis, Konstantinos, Weinberg, Seth Matthew
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2015
Online Access:http://hdl.handle.net/1721.1/99969
https://orcid.org/0000-0002-5451-0490