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

DOI:10.4121/2792c03f-16a1-43a8-8150-111b0f91ec26.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/2792c03f-16a1-43a8-8150-111b0f91ec26

Datacite citation style

Schubotz, Lukas (2025): Code for Paper "Structural Sculpting: Making Inverse Modelling Generate and Deal with Variable Structures". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2792c03f-16a1-43a8-8150-111b0f91ec26.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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.

History

  • 2025-10-13 first online, published, posted

Publisher

4TU.ResearchData

Format

.zip; structural-sculpting/.py, .ipynb, .nlogo; history/.csv

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department of Engineering, Systems and Services, Energy and Industry, Energy Transition Lab

DATA

Files (2)