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摘要翻译：
我们回顾了最近引入的agent模型[ACS{\BF 11},99(2008)],其中经济增长是教育（人力资本形成）和创新的结果，并研究了agent的社会网络对agent追求教育的决定和新思想产出的影响。考虑了规则网络和随机网络。并与一个平均场（代表agent）模型的预测结果进行了比较。
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英文标题：
《Network effects in a human capital based economic growth model》
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作者：
Teresa Vaz Martins, Tanya Araujo, Maria Augusta Santos, Miguel St
Aubyn
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最新提交年份：
2009
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分类信息：
一级分类：Quantitative Finance 数量金融学
二级分类：General Finance 一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类：Physics 物理学
二级分类：Physics and Society 物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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英文摘要：
We revisit a recently introduced agent model[ACS {\bf 11}, 99 (2008)], where economic growth is a consequence of education (human capital formation) and innovation, and investigate the influence of the agents' social network, both on an agent's decision to pursue education and on the output of new ideas. Regular and random networks are considered. The results are compared with the predictions of a mean field (representative agent) model.
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PDF链接：
https://arxiv.org/pdf/0809.3418
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