Code for Paper "Structural Sculpting: Making Inverse Modelling Generate and Deal with Variable Structures"

This data repository contains the code that I used to generate the data for my paper "Structural Sculpting: Making Inverse Modelling Generate and Deal with Variable Structures" as well as the data used for the subsequent analysis.

The repository contains two files:
"structural-sculpting.zip" containing the source code (.py), the edited NetLogo model (.nlogo, for NetLogo 6.1.1) used for the paper, and the jupyter notebook (.ipynb) used for the analysis.
"history.zip" containing the data (.csv) generated through the source code. Each .csv file has the headers candidate_id, the actions before and after mutation, the mutation decided on, the fitness values, the parametrisation for the run and the run number, the observed variable "number_of_households_owning_product_1" and the error of the comparison of the observed variable with the data.