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 of maximizing social welfare in single-good auctions when players know their t...

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Main Authors: Chiesa, Alessandro, Micali, Silvio, Zhu, Zeyuan Allen
Other Authors: Silvio Micali
Published: 2011
Online Access:http://hdl.handle.net/1721.1/62296
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author Chiesa, Alessandro
Micali, Silvio
Zhu, Zeyuan Allen
author2 Silvio Micali
author_facet Silvio Micali
Chiesa, Alessandro
Micali, Silvio
Zhu, Zeyuan Allen
author_sort Chiesa, Alessandro
collection MIT
description 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 of maximizing social welfare in single-good auctions when players know their true valuations only within a constant multiplicative factor d in (0,1). Our approach is deliberately non-Bayesian and very conservative: each player i only knows that his true valuation is one among finitely many values in a d-APPROXIMATE SET, Ki, and his true valuation is ADVERSARIALLY and SECRETLY chosen in Ki at the beginning of the auction. We prove tight upper and lower bounds for the fraction of the maximum social welfare achievable in our model, in either dominant or undominated strategies, both via deterministic and probabilistic mechanisms. The landscape emerging is quite unusual and intriguing.
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spelling mit-1721.1/622962019-04-11T03:51:41Z Mechanism Design with Approximate Valuations Chiesa, Alessandro Micali, Silvio Zhu, Zeyuan Allen Silvio Micali Theory of Computation 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 of maximizing social welfare in single-good auctions when players know their true valuations only within a constant multiplicative factor d in (0,1). Our approach is deliberately non-Bayesian and very conservative: each player i only knows that his true valuation is one among finitely many values in a d-APPROXIMATE SET, Ki, and his true valuation is ADVERSARIALLY and SECRETLY chosen in Ki at the beginning of the auction. We prove tight upper and lower bounds for the fraction of the maximum social welfare achievable in our model, in either dominant or undominated strategies, both via deterministic and probabilistic mechanisms. The landscape emerging is quite unusual and intriguing. 2011-04-21T18:15:33Z 2011-04-21T18:15:33Z 2011-02-16 http://hdl.handle.net/1721.1/62296 MIT-CSAIL-TR-2011-024 MIT-CSAIL-TR-2011-009 http://hdl.handle.net/1721.1/61008 30 p. application/pdf
spellingShingle Chiesa, Alessandro
Micali, Silvio
Zhu, Zeyuan Allen
Mechanism Design with Approximate Valuations
title Mechanism Design with Approximate Valuations
title_full Mechanism Design with Approximate Valuations
title_fullStr Mechanism Design with Approximate Valuations
title_full_unstemmed Mechanism Design with Approximate Valuations
title_short Mechanism Design with Approximate Valuations
title_sort mechanism design with approximate valuations
url http://hdl.handle.net/1721.1/62296
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