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首页> 外文期刊>IEEE systems journal >Governing Competition and Collaboration in Network Industries Using Agent-Based Modeling: A Case-Study of US Air Transportation Network
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Governing Competition and Collaboration in Network Industries Using Agent-Based Modeling: A Case-Study of US Air Transportation Network

机译：使用基于代理的模型管理网络行业中的竞争和协作：美国航空运输网络的案例研究

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摘要

Network industries include a multitude of organizations and companies delivering valuable services and products for modern life. Surprisingly, the impact of the structural complexity of their underlying physical infrastructure on the behavior of these organizations has not been explored yet. The aim of this paper is to study the role of an initial network structure on the throughput of these complex systems, and to provide evidence for the value of using agent-based modeling (ABM) in governing competition and collaboration in network industries. A two-stage multiround game provides the mathematical foundation to examine the behavior of players in the complex interconnected structure of a network industry. The United States Air Transportation Network is used as the case study. The real data on the different elements of the system are embedded into an agent-based model to provide a descriptive model of behaviors within it. The outcome of the model shows path dependence in the system and highlights the impact of initial network conditions on the market. Moreover, this model provides evidence on the usefulness of ABM for understanding the interrelationships between economic behavior and the physical structure of the system.
机译：网络行业包括众多组织和公司，它们为现代生活提供有价值的服务和产品。令人惊讶的是，尚未探索其基础物理基础结构的结构复杂性对这些组织的行为的影响。本文的目的是研究初始网络结构对这些复杂系统的吞吐量的作用，并为使用基于代理的建模（ABM）在管理网络行业的竞争和协作中的价值提供证据。两阶段的多轮游戏提供了数学基础，可以检查网络行业复杂互连结构中参与者的行为。以美国航空运输网络为例。有关系统不同元素的真实数据被嵌入到基于代理的模型中，以在其中提供行为的描述性模型。该模型的结果显示了系统中的路径依赖性，并突出了初始网络条件对市场的影响。此外，该模型提供了关于ABM在理解经济行为与系统物理结构之间相互关系方面的有用性的证据。

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