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Multiperson bargaining and strategic complexity

机译:多人谈判和战略复杂性

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摘要

We investigate the effect of introducing costs of complexity in the n-person unanimity bargaining game. As is well-known, in this game every individually rational allocation is sustainable as a Nash equilibrium (also as a subgame perfect equilibrium if players are sufficiently patient and if n > 2). Moreover, delays in agreement are also possible in such equilibria. By limiting ourselves to a plausible notion of complexity that captures length of memory, we find that the introduction of complexity costs (lexicographically with the standard payoffs) does not reduce the range of possible allocations but does limit the amount of delay that can occur in any agreement. In particular, we show that in any n-player game, for any allocation z, an agreement on z at any period t can be sustained as a Nash equilibrium of the game with complexity costs if and only if t ≤ n. We use the limit on delay result to establish that, in equilibrium, the strategies implement stationary behavior. Finally, we also show that "noisy Nash equilibrium" with complexity costs sustains only the unique stationary subgame perfect equilibrium allocation.
机译:我们研究了在n人一致议价游戏中引入复杂性成本的影响。众所周知,在此游戏中,每个单独的理性分配都可以作为纳什均衡来维持(如果玩家有足够的耐心并且n> 2,则也可以作为子博弈完美均衡)。此外,在这种平衡中也可能会延迟达成协议。通过将自己限制为一个合理的概念,即可以捕获内存的长度的复杂性,我们发现引入复杂性成本(按字母顺序编排标准收益)不会减少可能的分配范围,但会限制任何情况下可能发生的延迟量协议。特别地,我们表明,在任何n玩家游戏中,对于任何分配z,只要且仅当t≤n时,在z的任何时间点t上的协议都可以作为具有复杂性成本的游戏的纳什均衡得以维持。我们使用延迟结果的极限来确定,在平衡状态下,该策略可以实现平稳行为。最后,我们还表明,具有复杂度成本的“嘈杂纳什均衡”仅维持唯一的平稳子博弈完美均衡分配。

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