The possibility of Bayesian learning in repeated games
In infinitely repeated games, Nachbar (1997, 2005) has shown that Bayesian learning of a restricted strategy set is inconsistent; the beliefs required to learn any element of such a set will lead best responses to lie outside of it in most games. But I establish here that Nash convergence of Bayesia...
主要作者: | Norman, TWL |
---|---|
格式: | Journal article |
語言: | English |
出版: |
Elsevier BV
2022
|
相似書籍
-
Non-parametric Bayesian inference of strategies in repeated games
由: Kleiman-Weiner, Max, et al.
出版: (2022) -
Market selection with an endogenous state
由: Norman, TWL
出版: (2020) -
Evolutionary stability in the generalized second-price auction
由: Norman, TWL
出版: (2019) -
The evolution of monetary equilibrium
由: Norman, TWL
出版: (2020) -
Pigouvian algorithmic platform design
由: Norman, TWL
出版: (2023)