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Network formation in repeated interactions: experimental evidence on dynamic behaviour

机译:重复互动中的网络形成:动态行为的实验证据

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Here, we present some experiments of non-cooperative games of net work formation based on Bala and Goyal (Econometrica 68:1181-1229, 2000). We have looked at the one-way and the two-way flow models, each for high and low link costs. The models come up with both multiple equilibria and coordination problems. We conducted the experiments under various conditions which allowed for repeated interactions between subjects. We found that coordination on non empty Strict Nash equilibria was not an easy task to achieve, even in the one-way model where the Strict Nash equilibria are wheels. We found some evidence of convergence to equilibrium networks through learning dynamics, while we found no effect of salient labels to help coordination. The evidence on learning behavior provides support for subjects that were choosing strategies in line with various learning rules, principally Reinforcement and Fictitious Play.
机译:在这里,我们提出一些基于Bala和Goyal的网络合作非合作游戏的实验(Econometrica 68:1181-1229,2000)。我们已经研究了单向和双向流动模型,每种模型都针对高昂和低廉的链路成本。这些模型同时具有多重均衡和协调问题。我们在各种条件下进行了实验,这些条件允许对象之间进行重复的交互。我们发现,即使在严格的纳什均衡为轮子的单向模型中,对非空的严格纳什均衡进行协调也不是一件容易的事。我们发现了一些通过学习动力学收敛到平衡网络的证据,而我们没有发现显着标签有助于协调的作用。学习行为的证据为选择符合各种学习规则(主要是强化和虚拟游戏)的策略的受试者提供了支持。

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