在随机游戏中,最佳响应动态,游戏序列和趋同到平衡
Torsten Heinrich1,2,3, Yoojin Jang2,4, Luca Mungo2,5
1Faculty for Economics and Business Administration, Chemnitz University of Technology, Chemnitz, Germany.
概括
在大多数游戏中,当玩家随机选择动作时,最佳响应动态汇聚到纳什平衡. 然而,在固定,循环的游戏顺序下,趋同是罕见的.
科学领域:
- 游戏理论 游戏理论
- 计算经济学计算经济学
- 数学经济学数学经济学
背景情况:
- 最好的反应动态是游戏理论中分析战略互动的基本概念.
- 了解收性质对于预测正常形式游戏的结果至关重要.
- 参与者行动更新序列对趋同的影响仍然是一个活跃的研究领域.
研究的目的:
- 调查所有正常形式游戏中最佳响应动态的表现.
- 确定播放序列对纳什平衡趋同的影响.
- 为了比较固定周期和随机播放序列下的收率.
主要方法:
- 使用随机游戏方法进行分析.
- 游戏动态的非对称分析.
- 在所有可能的正常形式游戏中进行评估.
主要成果:
- 收到纯纳什平衡对播放序列非常敏感.
- 在固定的周期性游戏顺序下,最佳响应的动态汇聚在很小的一小部分大型游戏中.
- 有了随机的游戏序列,动态几乎在所有存在的大型游戏中都会趋于纯粹的纳什平衡.
结论:
- 随机播放序列显著提高了对纳什平衡的最佳响应动态的趋同.
- 游戏序列的选择是游戏动态的稳定性和可预测性的关键因素.
- 这些发现对理解复杂的战略环境中的新兴行为有影响.
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