Modeling With Agents: The State Transition Diagram [Systems thinking & modelling series]
There are three ways a transition from one state to another can be triggered.
Modeling With Agents: Introduction [Systems thinking & modelling series]
There is an alternative modeling paradigm to System Dynamics and it is excellent for modeling…
Optimization and Complexity: The Cost of Complexity [Systems thinking & modelling series]
Wouldn’t a model have to be better if you included all known mechanisms? On the…
Optimization and Complexity: Finding the Best Fit [Systems thinking & modelling series]
After choosing how to measure a fit quantitatively, we need to find the set of…
Optimization and Complexity: Multi-Objective Optimizations [Systems thinking & modelling series]
So far we’ve focused on optimizing parameter values for a single objective. But what if…
Optimization and Complexity: Goodness of Fit [Systems thinking & modelling series]
A good fit is one where the historical and simulated results are very close together.
Optimization and Complexity: Calibrating the Model [Systems thinking & modelling series]
You can also use historical data to calibrate model parameters.
Optimization and Complexity: Assessing Model Accuracy [Systems thinking & modelling series]
To assess how well our model fits the historical data qualitatively, we plot the simulated…
Optimization and Complexity: Introduction [Systems thinking & modelling series]
There are many ways to exploit valuable empirical data to improve your models.
Equilibria and Stability Analysis: Analytical vs. Numerical Analysis [Systems thinking & modelling series]
Take a moment to reflect on these different forms of analysis and what each one…
