Quantum Bayesian implementation
arXiv:1104.0471 · doi:10.1007/s11128-012-0422-7
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.
14 pages, 3 figures