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In the modeling process, we often specify a behavior mode, and then want to see if our model replicates that mode. With more nuance, we might want to find the regions of the parameter space where a behavior mode is dominant. This would be nice to formalize and automate this.
There are some attributes of various behavior modes we should test for:
Continuous
No sudden jumps
All stock values should meet the definition of continuous, while flows can be adjusted with pulse functions, etc.
Smooth
No sudden jumps in first derivative
Oscillating (vs. non-oscillating)
The timeseries goes up and down
Periodic (vs. aperiodic)
Oscillations have a consistent frequency
Stationary
The envelope is constant
Divergent
The envelope increases in size
Convergent
The envelope decreases in size
We could also test for some specific behavior cases:
Exponential Growth
The text was updated successfully, but these errors were encountered:
In the modeling process, we often specify a behavior mode, and then want to see if our model replicates that mode. With more nuance, we might want to find the regions of the parameter space where a behavior mode is dominant. This would be nice to formalize and automate this.
There are some attributes of various behavior modes we should test for:
Continuous
All stock values should meet the definition of continuous, while flows can be adjusted with pulse functions, etc.
Smooth
Oscillating (vs. non-oscillating)
Periodic (vs. aperiodic)
Stationary
Divergent
Convergent
We could also test for some specific behavior cases:
The text was updated successfully, but these errors were encountered: