摘要翻译：
进化博弈动力学不仅描述了频率依赖的遗传进化，而且还描述了人类的文化进化。在这种背景下，成功的策略通过模仿传播。研究表明，策略更新规则的细节可以对理论模型中的进化动力学产生至关重要的影响，例如，显著改变社会困境中的合作水平。但是什么样的策略更新规则能够描述人类的模仿动力学呢？在此，我们提出了一种在行为实验中度量这种策略更新规则的方法。我们使用这样一种设置，在这种设置中，个体被虚拟地排列在一个空间格子上。这产生了大量不同的战略情况，我们可以从中评估战略更新。最重要的是，与突变或探索行为相对应的自发策略变化比许多模型中假设的更频繁。我们测量理论模型中更新机制性质的实验方法将有助于建立文化进化的数学模型。
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英文标题：
《Human strategy updating in evolutionary games》
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作者：
Arne Traulsen, Dirk Semmann, Ralf D. Sommerfeld, Hans-Juergen
  Krambeck, Manfred Milinski
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最新提交年份：
2010
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Populations and Evolution        种群与进化
分类描述：Population dynamics, spatio-temporal and epidemiological models, dynamic speciation, co-evolution, biodiversity, foodwebs, aging; molecular evolution and phylogeny; directed evolution; origin of life
种群动力学；时空和流行病学模型；动态物种形成；协同进化；生物多样性；食物网；老龄化；分子进化和系统发育；定向进化；生命起源
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  Evolutionary game dynamics describes not only frequency dependent genetical evolution, but also cultural evolution in humans. In this context, successful strategies spread by imitation. It has been shown that the details of strategy update rules can have a crucial impact on evolutionary dynamics in theoretical models and e.g. significantly alter the level of cooperation in social dilemmas. But what kind of strategy update rules can describe imitation dynamics in humans? Here, we present a way to measure such strategy update rules in a behavioral experiment. We use a setting in which individuals are virtually arranged on a spatial lattice. This produces a large number of different strategic situations from which we can assess strategy updating. Most importantly, spontaneous strategy changes corresponding to mutations or exploration behavior are more frequent than assumed in many models. Our experimental approach to measure properties of the update mechanisms used in theoretical models will be useful for mathematical models of cultural evolution.
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PDF链接：
https://arxiv.org/pdf/1001.3768