Existence of Structured Perfect Bayesian Equilibrium in Dynamic Games of Asymmetric Information

Deepanshu Vasal
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Abstract

In~[1],authors considered a general finite horizon model of dynamic game of asymmetric information, where N players have types evolving as independent Markovian process, where each player observes its own type perfectly and actions of all players. The authors present a sequential decomposition algorithm to find all structured perfect Bayesian equilibria of the game. The algorithm consists of solving a class of fixed-point of equations for each time $t,\pi_t$, whose existence was left as an open question. In this paper, we prove existence of these fixed-point equations for compact metric spaces.
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在b[1]中,作者考虑了非对称信息动态博弈的一般有限视界模型,其中N个参与者的类型演变为独立的马尔可夫过程,每个参与者完美地观察自己的类型和所有参与者的行为。作者提出了一种序列分解算法来求出博弈的所有结构完美贝叶斯均衡。该算法包括求解每次$t,\pi_t$的一类不动点方程,其是否存在是一个开放的问题。本文证明了紧度量空间不动点方程的存在性。
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