This repository contains the source code and data that is used in the following paper:
Nan Zhang, Rami Bahsoon, Nikos Tziritas, and Georgios Theodoropoulos, ‘Knowledge Equivalence in Digital Twins of Intelligent Systems’, Apr. 2022. Available: http://arxiv.org/abs/2204.07481
Accepted by ACM Transactions on Modeling and Computer Simulation (TOMACS) and published in Jan 2024
Cite as (BibTeX):
@article{10.1145/3635306,
author = {Zhang, Nan and Bahsoon, Rami and Tziritas, Nikos and Theodoropoulos, Georgios},
title = {Knowledge Equivalence in Digital Twins of Intelligent Systems},
year = {2024},
issue_date = {January 2024},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {34},
number = {1},
issn = {1049-3301},
url = {https://doi.org/10.1145/3635306},
doi = {10.1145/3635306},
journal = {ACM Trans. Model. Comput. Simul.},
month = {jan},
articleno = {3},
numpages = {37},
}
The repository also contains a simulator as a .jar file, whose source code can be found in https://github.com/digitwins/mobile-cameras-repast
The directory output contains the simulation results. However, due to the storage limitation of GitHub, it now only contains the statistics of the simulation. The raw data of all simulation traces can be found at: https://tinyurl.com/knowledge-equivalence-DT (redirects to Google Drive)
The experiment was conducted in a conda environment. The required packages are listed in conda_environment.yml.
The experiment can be run by executing ./src/runner/Run.py. All the parameter configurations used in the paper are recorded in Run.py.
The file analyse.ipynb contains the code that is used for analysis and figure plotting. It reads the data from the output directory and generates the figures that appear in the paper.