Add to ORKGBayesian 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
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
[Moore and Repullo, \emph{Econometrica} \textbf{58} (1990) 1083-1099] and [Dutta and Sen, \emph{Rev....
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
Bayesian implementation concerns decision making problems when agents have incomplete information. T...
Bayesian implementation concerns decision making problems when agents have incomplete information. T...
Bayesian implementation concerns decision making problems when agents have incomplete information. T...
Quantum strategies have been successfully applied in game theory for years. However, as a reverse pr...
We describe a general approach to modeling rational decision-making agents who adopt either quantum ...
As a compact representation of joint probability distributions over a dependence graph of random va...
The Maskin's theorem on Nash implementation is a fundamental work in the theory of mechanism design....
In approaches to quantum theory in which the quantum state is regarded as a representation of knowle...
Recent works in the literature have proposed quantum-like Bayesian networks as an alternative decisi...
This paper concerns what will happen if quantum mechanics is concerned in subgame perfect implementa...
In this work, we explore an alternative quantum structure to perform quantum probabilistic inference...
In this work, we explore an alternative quantum structure to perform quantum probabilistic inference...
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
[Moore and Repullo, \emph{Econometrica} \textbf{58} (1990) 1083-1099] and [Dutta and Sen, \emph{Rev....
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
Bayesian implementation concerns decision making problems when agents have incomplete information. T...
Bayesian implementation concerns decision making problems when agents have incomplete information. T...
Bayesian implementation concerns decision making problems when agents have incomplete information. T...
Quantum strategies have been successfully applied in game theory for years. However, as a reverse pr...
We describe a general approach to modeling rational decision-making agents who adopt either quantum ...
As a compact representation of joint probability distributions over a dependence graph of random va...
The Maskin's theorem on Nash implementation is a fundamental work in the theory of mechanism design....
In approaches to quantum theory in which the quantum state is regarded as a representation of knowle...
Recent works in the literature have proposed quantum-like Bayesian networks as an alternative decisi...
This paper concerns what will happen if quantum mechanics is concerned in subgame perfect implementa...
In this work, we explore an alternative quantum structure to perform quantum probabilistic inference...
In this work, we explore an alternative quantum structure to perform quantum probabilistic inference...
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
[Moore and Repullo, \emph{Econometrica} \textbf{58} (1990) 1083-1099] and [Dutta and Sen, \emph{Rev....
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...