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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Self-education of agents in the Multi-Airport Logistics System: A multiple cases study
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Self-education of agents in the Multi-Airport Logistics System: A multiple cases study

机译:多机场物流系统中代理商的自我教育:多案例研究

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摘要

The Multiple Airports System (MAS) has been the topic of an increasing number of studies over recent years in the spatial and network analysis. However, there is relatively limited literature on the MAS in the perspective of logistics. This paper proposes the concept of the Multi-Airport Logistics System (MLS) by reviewing the related literature on MAS and comparing the performance of cargo and passengers transport in the U.S. MASs. Under the concept of the MLS, the boundary and the populations of the MLS are discussed by utilizing case studies on the MLS in the U.S., especially the Northeast MLS. Compared with existing studies, the concept of the MLS focus on the coordination of cargo development among airports and provide a framework for airports' cargo development within the same region. By using Multiple Cases Study, we found that the agents gain experiences from the interaction with other agents and the environment, i.e. self-education of Agents by building blocks in the system.
机译:近年来,多机场系统(MAS)成为空间和网络分析中越来越多的研究主题。但是,从物流的角度来看,关于MAS的文献相对有限。本文通过回顾有关MAS的相关文献并比较美国MAS中货物和客运的绩效,提出了多机场物流系统(MLS)的概念。在MLS的概念下,通过对美国特别是东北MLS的MLS进行案例研究,讨论了MLS的边界和种群。与现有研究相比,MLS的概念侧重于机场之间货物开发的协调,并为同一地区内机场货物开发提供了框架。通过使用多案例研究,我们发现代理从与其他代理和环境的交互中获得经验,即通过系统中的构建块对代理进行自我教育。

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