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So which refinement is more appropriate as a solution concept?
The Shapley value of coalitional game is a solution concept.
A solution concept of this game is the Nash equilibrium.
Providing such conditions is known as an epistemic characterization of a solution concept.
Iterated elimination of strictly dominated strategies (ISDS) is a solution concept that runs as follows.
Using this model, we introduce a solution concept, which we call deliberation equilibrium.
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Besides the weak efficiency and efficiency mentioned above, a meaningful solution concept called a strict efficient solution of higher-order (also called a strict minimizer of higher-order) was recently extended by Jiménez in [10] from the strict minimizer of higher-order in scalar optimization given by Auslender in [11] and Ward in [12].
Generally speaking, the process of such players' behaviors usually results in a Bayesian equilibrium, which represents a common solution concept for Bayesian games.
Because this task leads to a very complex transport design problem, a heuristic solution concept has to be developed.
In this work, we develop a new behavioral learning game model and also propose a novel solution concept.
Also, to find a second-best payoff vector when the core is empty, we propose a new solution concept called the weak ε-core+, which can utilize the approximate value of the optimal coalition structure.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com