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. More importantly, we find that the revelation principle is not always right by using the quantum and algorithmic Bayesian mechanisms
The game in which acts of participants don't have an adequate description in terms of Boolean logic ...
In this work, we explore an alternative quantum structure to perform quantum probabilistic inference...
Quantum mechanics has been applied to game theory for years. A recent work [H. Wu, Quantum mechanism...
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...
The Maskin's theorem is a fundamental work in the theory of mechanism design. A recent work [Wu, Qua...
We describe a general approach to modeling rational decision-making agents who adopt either quantum ...
This paper concerns what will happen if quantum mechanics is concerned in subgame perfect implementa...
First Published: 20 March 2021As a compact representation of joint probability distributions over a ...
Recent works in the literature have proposed quantum-like Bayesian networks as an alternative decisi...
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
In approaches to quantum theory in which the quantum state is regarded as a representation of knowle...
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
In this work, we explore an alternative quantum structure to perform quantum probabilistic inference...
The game in which acts of participants don't have an adequate description in terms of Boolean logic ...
In this work, we explore an alternative quantum structure to perform quantum probabilistic inference...
Quantum mechanics has been applied to game theory for years. A recent work [H. Wu, Quantum mechanism...
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...
The Maskin's theorem is a fundamental work in the theory of mechanism design. A recent work [Wu, Qua...
We describe a general approach to modeling rational decision-making agents who adopt either quantum ...
This paper concerns what will happen if quantum mechanics is concerned in subgame perfect implementa...
First Published: 20 March 2021As a compact representation of joint probability distributions over a ...
Recent works in the literature have proposed quantum-like Bayesian networks as an alternative decisi...
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
In approaches to quantum theory in which the quantum state is regarded as a representation of knowle...
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
In this work, we explore an alternative quantum structure to perform quantum probabilistic inference...
The game in which acts of participants don't have an adequate description in terms of Boolean logic ...
In this work, we explore an alternative quantum structure to perform quantum probabilistic inference...
Quantum mechanics has been applied to game theory for years. A recent work [H. Wu, Quantum mechanism...