New version 1.1.0 including System Dynamics

New version 1.1.0 including System Dynamics

par | Nov 5, 2020 | Release notes, Symu, System Dynamics

A new release 1.1.0 of Symu has been released and now supports System Dynamics. In the last post, we mentioned the evolution of the Symu framework towards an open source suite. This suite deal with the modeling, analysis and simulation of organizations. This trend continues with this new version includes a new independent project. Let’s examine it:

System dynamics

We have created a new github repository Symu.SysDyn which is an open source framework for System Dynamics. 

What is System Dynamics?

It is an aspect of systems theory as a method to understand the dynamic behavior of complex systems. The basis of the method is the recognition that the structure of any system, the many circular, interlocking, sometimes time-delayed relationships among its components, is often just as important in determining its behavior as the individual components themselves. (from wikipedia) 

You can find more information here.

But why System Dynamics in a multi-agents system? 

In an organization, interconnections between people are well-designed in a multi-agent system. But agents operate in an evolving system itself. This evolution depends on the context of the organization. So, we should include in our simulator models for any situations that an organization can face. Which is impossible.
Thus, the system dynamics approach completes the agent-based one. It can focus on macroscopic dynamics. Moreover it offers a flexible approach to model them and add them without coding. You can create a complex system in an XML file, see it and analyze it with a system dynamics app.
With this new framework, we offer the possibility to model all macroscopic scenarios for an organization and let the agents evolve within it.

How it works

Symu.SysDyn models complex system as a graph of  stocks, flows and internal feedback loops. Each artifacts can be defined from constants to complex equations. The relation between artifacts may be cyclic.As a result, it offers the ability to model real interconnected systems.

Example

The word of mouth model of a growth engine

Word of mouth model

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