英文标题：
《Diversification versus specialization -- lessons from a noise driven
linear dynamical system》
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作者：
Gabriell Mate and Zoltan Neda
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最新提交年份：
2014
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英文摘要：
Specialization and diversification are two major strategies that complex systems might exploit. Given a fixed amount of resources, the question is whether to invest this in elements that respond in a correlated manner to external perturbations, or to build a diversified system with groups of elements that respond in a not necessarily correlated manner. This general dilemma is investigated here using a high dimensional discrete dynamical system subject to an external noise, analyzing the statistical properties of an order parameter that quantifies growth. Our analytical solution suggests that diversification is a good strategy once the system has a fair amount of resources. For systems with small or extremely large supplies, we argue that specialization might be a more successful strategy. We discuss the results also from the perspective of economic and biologic systems.
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中文摘要：
专业化和多样化是复杂系统可能采用的两种主要策略。给定一个固定数量的资源，问题在于，是将其投资于以相关方式响应外部扰动的元素，还是用以不一定相关方式响应的元素组构建一个多元化系统。本文利用一个受外部噪声影响的高维离散动力系统，分析了量化增长的序参量的统计特性，研究了这种普遍困境。我们的分析解决方案表明，一旦系统拥有相当数量的资源，多元化就是一个好策略。对于供应量小或非常大的系统，我们认为专业化可能是一种更成功的策略。我们还从经济和生物系统的角度讨论了结果。
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分类信息：

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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一级分类：Physics 物理学
二级分类：Adaptation and Self-Organizing Systems 自适应和自组织系统
分类描述：Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应，自组织系统，统计物理，波动系统，随机过程，相互作用粒子系统，机器学习
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一级分类：Physics 物理学
二级分类：Popular Physics 大众物理学
分类描述：Description coming soon
描述即将到来
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一级分类：Quantitative Biology 数量生物学
二级分类：Quantitative Methods 定量方法
分类描述：All experimental, numerical, statistical and mathematical contributions of value to biology
对生物学价值的所有实验、数值、统计和数学贡献
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一级分类：Quantitative Finance 数量金融学
二级分类：Risk Management 风险管理
分类描述：Measurement and management of financial risks in trading, banking, insurance, corporate and other applications
衡量和管理贸易、银行、保险、企业和其他应用中的金融风险
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