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...
This paper concerns what will happen if quantum mechanics is concerned in subgame perfect implementa...
AbstractWe discuss the impact of quantum game theory on information processing and the emerging info...
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...
As a compact representation of joint probability distributions over a dependence graph of random va...
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 ...
Recent works in the literature have proposed quantum-like Bayesian networks as an alternative decisi...
The Maskin's theorem on Nash implementation is a fundamental work in the theory of mechanism design....
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...
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...
This paper concerns what will happen if quantum mechanics is concerned in subgame perfect implementa...
AbstractWe discuss the impact of quantum game theory on information processing and the emerging info...
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...
As a compact representation of joint probability distributions over a dependence graph of random va...
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 ...
Recent works in the literature have proposed quantum-like Bayesian networks as an alternative decisi...
The Maskin's theorem on Nash implementation is a fundamental work in the theory of mechanism design....
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...
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...
This paper concerns what will happen if quantum mechanics is concerned in subgame perfect implementa...
AbstractWe discuss the impact of quantum game theory on information processing and the emerging info...