According to the characterization of Nash equilibrium in games, Nash equilibrium search from point of the minimizing objective function on a joint strategy space changes to an optimization problem.
According to the characterization of Nash equilibrium in games, Nash equilibrium search from the point of minimizing the objective function on a joint strategy space changes to an optimization problem.
The dynamics of the system is studied through the characterization of the equilibrium state and the non-equilibrium properties of the system.
This epistemic characterization of Nash equilibrium requires mutual knowledge and rather than beliefs.
Once existence is established, it is natural to consider the characterization of the equilibrium set.
First, the o-ring function allows characterization of the equilibrium structure of the technology system consisting of many technology components, whose innovation could also be endogenously determined.
The idea here is not to reject the epistemic characterization of Nash Equilibrium on the grounds that it rests on unrealistic assumptions, but, rather, to view it as a lesson learned about Nash Equilibrium itself.
The solution methodology is based on a characterization of Nash equilibrium in terms of minima of a function and relies on a metaheuristic optimization approach to find these minima.
The solution methodology was based on a characterization of Nash equilibrium in terms of minima of the objective function and relied on the GA, SA and HSAGA approaches to find these minima.
This paper describes a model-based characterization of the equilibrium points of an open-cathode fuel cell system as the baseline for proper controller design, highlighting the relation between fuel cell temperature, humidification and performance.
