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2022-03-07
摘要翻译:
我们引入一个集值解概念,M均衡,从半个多世纪的博弈论实验中捕捉经验规律。我们证明M平衡可以作为一个元理论,用于各种模型,而这些模型迄今被认为是不相关的。M均衡在经验上是稳健的,尽管是集值的,但是可证伪的。我们报告了一系列实验的结果,将M均衡与领先的行为博弈论模型进行了比较,并证明了它在预测观察到的选择和陈述的信念方面的优点。具有独特纯策略纳什均衡和多重M均衡的实验博弈数据显示了通过现有模型无法预料的协调问题。
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英文标题:
《M Equilibrium: A theory of beliefs and choices in games》
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作者:
Jacob K. Goeree and Philippos Louis
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最新提交年份:
2021
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分类信息:

一级分类:Economics        经济学
二级分类:Theoretical Economics        理论经济学
分类描述:Includes theoretical contributions to Contract Theory, Decision Theory, Game Theory, General Equilibrium, Growth, Learning and Evolution, Macroeconomics, Market and Mechanism Design, and Social Choice.
包括对契约理论、决策理论、博弈论、一般均衡、增长、学习与进化、宏观经济学、市场与机制设计、社会选择的理论贡献。
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一级分类:Computer Science        计算机科学
二级分类:Computer Science and Game Theory        计算机科学与博弈论
分类描述:Covers all theoretical and applied aspects at the intersection of computer science and game theory, including work in mechanism design, learning in games (which may overlap with Learning), foundations of agent modeling in games (which may overlap with Multiagent systems), coordination, specification and formal methods for non-cooperative computational environments. The area also deals with applications of game theory to areas such as electronic commerce.
涵盖计算机科学和博弈论交叉的所有理论和应用方面,包括机制设计的工作,游戏中的学习(可能与学习重叠),游戏中的agent建模的基础(可能与多agent系统重叠),非合作计算环境的协调、规范和形式化方法。该领域还涉及博弈论在电子商务等领域的应用。
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英文摘要:
  We introduce a set-valued solution concept, M equilibrium, to capture empirical regularities from over half a century of game-theory experiments. We show M equilibrium serves as a meta theory for various models that hitherto were considered unrelated. M equilibrium is empirically robust and, despite being set-valued, falsifiable. We report results from a series of experiments comparing M equilibrium to leading behavioral-game-theory models and demonstrate its virtues in predicting observed choices and stated beliefs. Data from experimental games with a unique pure-strategy Nash equilibrium and multiple M equilibria exhibit coordination problems that could not be anticipated through the lens of existing models.
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PDF链接:
https://arxiv.org/pdf/1811.05138
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