摘要翻译：
在一个具有死亡/出生动力学的非增长网络模型上研究了合作的演化。在网络邻居之间的囚徒困境博弈中，节点在选择更高收益的情况下进行复制。探讨了模型的平均场特性，并试图从策略密度波动的角度来理解模型的尺寸依赖行为。我们还简要评述了策略突变在调节策略密度中的作用。
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英文标题：
《The prisoners dilemma on a stochastic non-growth network evolution model》
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作者：
Vasils Hatzopoulos and Henrik Jeldtoft Jensen
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最新提交年份：
2007
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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：
  We investigate the evolution of cooperation on a non - growth network model with death/birth dynamics. Nodes reproduce under selection for higher payoffs in a prisoners dilemma game played between network neighbours. The mean field characteristics of the model are explored and an attempt is made to understand the size dependent behaviour of the model in terms of fluctuations in the strategy densities. We also briefly comment on the role of strategy mutation in regulating the strategy densties.
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PDF链接：
https://arxiv.org/pdf/0711.4887