递归Nash-in-Nash议价解

Xiaowei Yu, K. Waehrer
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引用次数: 4

摘要

标准的Nash-in-Nash解决方案通常应用于许多策略应用程序中。然而,这种讨价还价框架并没有捕捉到非均衡路径或或有合同的重新谈判,因此在某些情况下,标准纳什纳什的预测是反直觉的。因此,我们提出了一种新的相互依赖双边谈判的议价解,我们称之为递归纳什中纳什议价解。这种讨价还价框架与标准纳什中纳什的主要区别在于对分歧点的处理,我们假设分歧点是讨价还价的回报,因为所有其他谈判都是在承认这种分歧而不是均衡结果的情况下进行的。我们证明了在某些假设下,递归Nash-in-Nash议价解与相应合作博弈的Shapley值或更一般的Myerson值相同。这种等价使得策略应用程序可以相对容易地计算递归的Nash-in-Nash解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recursive Nash-in-Nash Bargaining Solution
The standard Nash-in-Nash solution is commonly applied in a number of policy applications. However, this bargaining framework does not capture renegotiation on off-equilibrium paths or contingent contracts and as a result in some situations the predictions of standard Nash-in-Nash are counter-intuitive. Thus, we propose a new bargaining solution for interdependent bilateral negotiations, which we call the recursive Nash-in-Nash bargaining solution. The main difference between this bargaining framework and the standard Nash-in-Nash is in the treatment of the disagreement point, which we assume is the bargaining payoffs given that all other negotiations happen with recognition of this disagreement rather than the equilibrium outcomes. We show that under some assumptions, the recursive Nash-in-Nash bargaining solution is the same as the Shapley value or the more general Myerson value for the corresponding cooperative game. This equivalence allows the recursive Nash-in-Nash solution to be calculated relatively easily for policy applications.
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