Quantum and algorithmic Bayesian mechanisms

Bayesian implementation concerns decision making problems when agents have incomplete information. This paper proposes that the traditional sufficient conditions for Bayesian implementation shall be amended by virtue of a quantum Bayesian mechanism. Furthermore, by using an algorithmic Bayesian mechanism, this amendment holds in the macro world too.

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Year of publication:	2011-04-05
Authors:	Wu, Haoyang
Institutions:	Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
Subject:	Bayesian implementation \| Quantum game theory \| Mechanism design

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Extent:	application/pdf
Series:	MPRA Paper.
Type of publication:	Book / Working Paper
Classification:	D71 - Social Choice; Clubs; Committees; Associations
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10008919778