When are efficient conventions selected in networks?

Alos-Ferrer Carlos; Buckenmaier Johannes; Farolfi Federica

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When are efficient conventions selected in networks?

机译：什么时候在网络中选择有效的约定？

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We study the determinants of convergence to efficient conventions in coordination games played on networks, when agents focus on past performance (imitative play). Previous theoretical results provide an incomplete picture and suggest potentially-complex interactions between the features of dynamics and behavior. We conducted an extensive simulation study (with approximately 1.12 million simulations) varying network size, interaction and information radius, the probability of actual interaction, the probability of mistakes, tiebreaking rules, and the process governing revision opportunities. Our main result is that "more interactions," be it in the form of larger interaction neighborhoods or of a higher interaction probability, lead to less coordination on efficient conventions. A second observation, confirming previous but partial theoretical results, is that a large network size relative to the size of neighborhoods (a "large world") facilitates convergence to efficient conventions. Third, a larger information neighborhood helps efficiency because it increases visibility of efficient payoffs across the network. Last, technical details of the dynamic specification as tie-breaking or inertia, while often relevant for specific theoretical results, appear to be of little empirical relevance in the larger space of dynamics. (C) 2021 The Author(s). Published by Elsevier B.V.

机译：我们研究了在网络上播放的协调游戏中有效公约的趋同决定因素，当时代理人关注过去的表现（模仿戏）。以前的理论结果提供了一个不完整的图片，并建议动态和行为的特征之间的潜在复杂的相互作用。我们进行了广泛的仿真研究（大约1112万次模拟）不同的网络大小，互动和信息半径，实际互动的概率，错误的概率，击败规则以及修订机会的过程。我们的主要结果是，“更多互动”，以较大的相互作用街区或更高的相互作用概率的形式，导致高效惯例的协调。第二种观察，确认以前但部分理论结果，是相对于邻域的大小（“大世界”）的大网络规模有助于融合到高效的约定。第三，更大的信息邻域有助于效率，因为它会增加网络上有效收益的可见性。最后，动态规范的技术细节作为缠绕或惯性，而通常与特定的理论结果相关，似乎在较大的动态空间中具有很少的经验相关性。（c）2021提交人。 elsevier b.v出版。

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来源
《Journal of Economic Dynamics and Control》 |2021年第3期|104074.1-104074.11|共11页
作者
Alos-Ferrer Carlos; Buckenmaier Johannes; Farolfi Federica;
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作者单位

Univ Zurich Zurich Ctr Neuroecon ZNE Dept Econ Blumlisalpstr 10 CH-8006 Zurich Switzerland;

Univ Zurich Zurich Ctr Neuroecon ZNE Dept Econ Blumlisalpstr 10 CH-8006 Zurich Switzerland;

Univ Amsterdam Ctr Res Expt Econ CREED Amsterdam Sch Econ Roetersstr 11 NL-1018 WB Amsterdam Netherlands;

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正文语种 eng
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Agent-based models; Coordination games; Local interactions; Learning; Networks;

机译：基于代理的模型;协调游戏;地方互动;学习;网络;

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机译：什么时候在网络中选择有效的约定？

When are efficient conventions selected in networks?

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