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System dynamics

Study of non-linear complex systems

  • 16 min read
  • 4 chapters

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Through Stock and flow, Feedback and Graphical user interface

Overview

System dynamics is a mathematical modeling technique to frame, understand, and discuss complex systems. Originally developed in the 1950s to help corporate managers improve their understanding of industrial processes, SD was being used in the 2000s throughout the public and private sector for policy analysis and design.

Convenient graphical user interface (GUI) system dynamics software developed into user friendly versions by the 1990s and have been applied to diverse systems. SD models solve the problem of simultaneity (mutual causation) by updating all variables in small time increments with positive and negative feedbacks and time delays structuring the interactions and control. The best known SD model is probably the 1972 The Limits to Growth. This model forecast that exponential growth of population and capital, with finite resource sources and sinks and perception delays, would lead to economic collapse during the 21st century under a wide variety of growth scenarios.

System dynamics is an aspect of systems theory as a method to understand the dynamic behavior of complex systems. It is a property of complex systems that the structure of any system, with many circular, interlocking, sometimes time-delayed relationships among its components, is often just as important in determining its behavior as the individual components themselves. Examples are chaos theory and social dynamics. There are often emergent properties and behaviour of the system which are not properties and behaviour of the individual parts.

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