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Glosario de Dinámica de Sistemas

Este es el Glosario de Dinámica del Sistema compilado por David N. Ford y aceptado por Yaman Barlas. Fue publicado el 7 de noviembre de 2019 aquí: https://doi.org/10.1002/sdr.1641.

 

Introducción

Como un diccionario de enfoque limitado, este glosario define términos de uso común que son centrales para la Dinámica de Sistemas tradicional y algunos términos más generales que tienen significados especiales o importancia particular dentro de la dinámica del sistema. No se incluyen los términos generales que no tienen significados especiales en la Dinámica de Sistemas, los términos específicos de la aplicación y los términos específicos del software. Se remite al lector a la literatura relevante para esas definiciones, así como a descripciones detalladas, explicaciones y ejemplos de los términos incluidos aquí.

 

Haga clic en el concepto para ver la descripción completa (en Inglés). 

Concept
Description
Calibration
The process of setting model parameter values to reflect an actual case (or specific hypothetical conditions of interest).
Causal
A driving or influencing relationship between two variables; in contrast to correlations, when two variables change together in time and/or space, but one does not necessarily drive or influence the other.
Causal link
An arrow in a causal loop diagram or system structure diagram that describes a relationship between two variables with the direction of causality (from cause variable to impacted variable) and the nature of impact (same direction of change or opposite direction of change). If there is a significant delay in the influence of the driving variable on the driven variable, it can be represented by a link “broken” by parallel lines.
Causal link polarity
A positive (+) or negative (−) sign that indicates the direction of impact of the driving variable on the driven variable. Positive polarity indicates that the impacted variable moves in the same direction (increase or decrease) as the driving variable. Negative polarity indicates that the impacted variable moves in the opposite direction (increase or decrease) to the driving variable. Alternatively, positive link polarity is sometimes indicated by the letter “S” (causing to move in the same direction) and negative link polarity by the letter “O” (causing to move in the opposite direction).
Causal loop diagram
A tool that represents closed loops of cause–effect linkages (causal links) as a diagram intended to capture how the system variables interrelate and how external variables impact them. Causal loop diagrams identify and label feedback loops to facilitate understanding, dynamic reasoning and formal modeling.
Closed system
A system that functions without the influence of exogenous variables. The system internally generates the values of the variables through time by their interactions. A completely closed system does not exist in reality, but many systems do primarily determine their behaviors internally.
Closed‐loop thinking
Approaching a problem with an endogenous perspective, focusing on the role of feedback loops.
Cloud
A symbol in a structure diagram that represents an infinite source or sink. An origin or ending place of a flow that is outside the boundary of the system as modeled. A cloud represents an unrepresented input or output stock of the system that is inconsequential to the behavior of interest.
Compensating feedback
A negative feedback structure typically used to denote one or more negative feedback loops that undercut the intended effects of a policy. See policy resistance.
Computation interval
See solution interval.
Connector
The directed links in a model that carry information or influence from one element to another element. The information may take the form of an algebraic relationship or a graphical relationship. The connectors can directly influence/determine auxiliary variables or flows (rates), but never stocks.
Conserved flow
A flow that moves a quantity of material between two or more stocks so that the total amount of material in the related part of the system is unchanged. The total amount of material is divided among the stocks. In contrast, non‐conserved flows flow across the model boundary from or to a source or sink, where the quantity is “created” or “lost” (non‐conserved).

Referencias:

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