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Stock Flow Diagram Making with Incomplete Information about Time Properties of Variables

机译:使用不完整的变量时间属性信息进行库存流程图制作

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Models for numerical simulations should be described in a coherent style. They are expected to have consistencies at the causal dependency level. However, System Dynamics causal loop diagrams can have inconsistencies. This diagram style's arrows, concerning flow and stock relationships, can have the opposite direction of stock flow diagrams which can numerically simulate models. These inconsistencies can cause inappropriate qualitative simulations so that it is sometimes recommended to use stock flow diagrams instead of causal loop diagrams even for qualitative simulations. However, causal loop diagrams have merits in their use. Causal loop diagrams are intuitively easy to draw and read. If causal loop diagrams are given information about each variable s dynamic property, they can be changed to stock flow diagrams and simulation models can be generated. This paper suggests how to use causal loop diagrams as a starting point in numerical simulation research.
机译:数值模拟的模型应以连贯的方式描述。预期它们在因果依赖级别上具有一致性。但是,系统动力学因果关系图可能存在不一致之处。此图样式的箭头涉及流量和存量关系,可以具有与存量流程图相反的方向,可以对模型进行数值模拟。这些不一致会导致不适当的定性仿真,因此有时甚至对于定性仿真,建议使用库存流程图而不是因果关系图。但是,因果回路图在使用中有其优点。因果回路图在直观上易于绘制和阅读。如果因果关系图已提供有关每个变量的动态特性的信息,则可以将其更改为库存流程图,并可以生成仿真模型。本文提出了如何使用因果回路图作为数值模拟研究的起点。

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