Non-Cooperative Bargaining with Unsophisticated Agents

被引:0
作者
Kristal K. Trejo
Ruben Juarez
Julio B. Clempner
Alexander S. Poznyak
机构
[1] Center for Research and Advanced Studies,Department of Automatic Control
[2] University of Hawaii,Department of Economics
[3] Instituto Politécnico Nacional,Escuela Superior de Física y Matemáticas
来源
Computational Economics | 2023年 / 61卷
关键词
Bargaining; Non-cooperative solution; Markov chains; Game theory;
D O I
暂无
中图分类号
学科分类号
摘要
A traditional non-cooperative bargaining situation involves two or more forward-looking players making offers and counteroffers alternately until an agreement is reached, with a penalty according to the time taken by players in the decision-making process. We introduce a game that aids myopic players to reach the equilibrium as if they were forward-looking agents. The key elements of the game are that players are penalized both for their deviation from the previous best-reply strategy and their time taken for the decision-making at each step of the game. It is shown that our game has an equilibrium not only for the traditional processes and utilities used in traditional non-cooperative bargaining literature, but for an expanded and very comprehensive set of stochastic processes (such as Markov processes) and utility functions. Our work not only complements traditional non-cooperative bargaining literature for myopic agents, but also enlarges the class of processes and functions where Rubinstein’s non-cooperative bargaining solutions might be defined and applied.
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页码:937 / 974
页数:37
相关论文
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