Quantum Bayesian implementation
Data Analysis, Statistics and Probability
2018-09-24 v7 Computer Science and Game Theory
Abstract
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. In addition, by using an algorithmic Bayesian mechanism, this amendment holds in the macro world.
Cite
@article{arxiv.1104.0471,
title = {Quantum Bayesian implementation},
author = {Haoyang Wu},
journal= {arXiv preprint arXiv:1104.0471},
year = {2018}
}
Comments
14 pages, 3 figures