Conservative Rationalizability and The Second-Knowledge Mechanism

In mechanism design, the traditional way of modeling the players' incomplete information about their opponents is "assuming a Bayesian." This assumption, however, is very strong and does not hold in many real applications. Accordingly, we put forward (1) a set-theoretic way to model t...

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Main Authors: Chen, Jing, Micali, Silvio
Other Authors: Silvio Micali
Published: 2010
Online Access:http://hdl.handle.net/1721.1/60371
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author Chen, Jing
Micali, Silvio
author2 Silvio Micali
author_facet Silvio Micali
Chen, Jing
Micali, Silvio
author_sort Chen, Jing
collection MIT
description In mechanism design, the traditional way of modeling the players' incomplete information about their opponents is "assuming a Bayesian." This assumption, however, is very strong and does not hold in many real applications. Accordingly, we put forward (1) a set-theoretic way to model the knowledge that a player might have about his opponents, and (2) a new class of mechanisms capable of leveraging such more conservative knowledge in a robust way. In auctions of a single good, we show that such a new mechanism can perfectly guarantee a revenue benchmark (always lying in between the second highest and the highest valuation) that no classical mechanism can even approximate in any robust way.
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spelling mit-1721.1/603712019-04-10T12:58:10Z Conservative Rationalizability and The Second-Knowledge Mechanism Chen, Jing Micali, Silvio Silvio Micali Theory of Computation In mechanism design, the traditional way of modeling the players' incomplete information about their opponents is "assuming a Bayesian." This assumption, however, is very strong and does not hold in many real applications. Accordingly, we put forward (1) a set-theoretic way to model the knowledge that a player might have about his opponents, and (2) a new class of mechanisms capable of leveraging such more conservative knowledge in a robust way. In auctions of a single good, we show that such a new mechanism can perfectly guarantee a revenue benchmark (always lying in between the second highest and the highest valuation) that no classical mechanism can even approximate in any robust way. 2010-12-30T09:30:03Z 2010-12-30T09:30:03Z 2010-12-20 http://hdl.handle.net/1721.1/60371 MIT-CSAIL-TR-2010-060 23 p. application/pdf
spellingShingle Chen, Jing
Micali, Silvio
Conservative Rationalizability and The Second-Knowledge Mechanism
title Conservative Rationalizability and The Second-Knowledge Mechanism
title_full Conservative Rationalizability and The Second-Knowledge Mechanism
title_fullStr Conservative Rationalizability and The Second-Knowledge Mechanism
title_full_unstemmed Conservative Rationalizability and The Second-Knowledge Mechanism
title_short Conservative Rationalizability and The Second-Knowledge Mechanism
title_sort conservative rationalizability and the second knowledge mechanism
url http://hdl.handle.net/1721.1/60371
work_keys_str_mv AT chenjing conservativerationalizabilityandthesecondknowledgemechanism
AT micalisilvio conservativerationalizabilityandthesecondknowledgemechanism