Editorial: The operation and evolution of infrastructures: the role of agent-based modelling and decision making

Zofia Lukszo; Gerard P.J. Dijkema

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Editorial: The operation and evolution of infrastructures: the role of agent-based modelling and decision making

机译：社论：基础架构的运营和演进：基于代理的建模和决策的作用

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Operation and evolution of infrastructure mutually influence each other. Both involve decision making. In this paper, we explore insights from simulating both in a single model. We present a framework to compare and connect the latest in modelling operation and evolution, respectively. Using the framework, we introduce the papers included in this special issue. Building-blocks are discussed for multi-scale modelling and simulation for decision support. The most prominent problem areas are the selection of sampling frequency and synchronisation and the magnitude of the solution-space to be explored. A research agenda is compiled to address these and other issues when combining the two in multi-scale modelling to provide some direction for future research.

机译：基础设施的运营和发展相互影响。两者都涉及决策。在本文中，我们通过在单个模型中进行仿真来探索见解。我们提供了一个框架来分别比较和连接最新的建模操作和演化。使用该框架，我们介绍了本期特刊中包含的论文。讨论了用于多尺度建模和仿真的决策支持的构建块。最突出的问题领域是采样频率和同步的选择以及要探索的解空间的大小。当在多尺度建模中将两者结合时，将编制研究议程以解决这些问题和其他问题，从而为将来的研究提供一些方向。

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《International journal of critical infrastructure》 |2009年第4期|299-307|共9页
作者
Zofia Lukszo; Gerard P.J. Dijkema;
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Section Energy and Industry Faculty of Technology Policy and Management Delft University of Technology P.O. Box 5015, GA, Delft 2600, The Netherlands;

Section Energy and Industry Faculty of Technology Policy and Management Delft University of Technology P.O. Box 5015, GA, Delft 2600, The Netherlands;

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正文语种 eng
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关键词
infrastructure systems; agent-based modelling; decision making; operation; evolution;

机译：基础设施系统;基于主体的建模;做决定;操作演化;

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2. On the development of agent-based models for infrastructure evolution [J] . Igor Nikolic, Gerard P.J. Dijkema International journal of critical infrastructure . 2010,第2期

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Editorial: The operation and evolution of infrastructures: the role of agent-based modelling and decision making

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