Agent-based modeling and systems dynamics model reproduction.
- Decision and Information Sciences
Reproducibility is a pillar of the scientific endeavour. We view computer simulations as laboratories for electronic experimentation and therefore as tools for science. Recent studies have addressed model reproduction and found it to be surprisingly difficult to replicate published findings. There have been enough failed simulation replications to raise the question, 'can computer models be fully replicated?' This paper answers in the affirmative by reporting on a successful reproduction study using Mathematica, Repast and Swarm for the Beer Game supply chain model. The reproduction process was valuable because it demonstrated the original result's robustness across modelling methodologies and implementation environments.
- Research Organization:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- DOE Contract Number:
- DE-AC02-06CH11357
- OSTI ID:
- 1021304
- Report Number(s):
- ANL/DIS/JA-64743; TRN: US201116%%700
- Journal Information:
- Int. J. Simul. Proc. Model., Vol. 5, Issue 3 ; 2009
- Country of Publication:
- United States
- Language:
- ENGLISH
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