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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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Replicability material for Statistical Model Checking of python Agent-based models: an integration of MultiVeStA and Mesa

Authors: Vandin, Andrea;

Replicability material for Statistical Model Checking of python Agent-based models: an integration of MultiVeStA and Mesa

Abstract

Replicability material for the paper 'Statistical Model Checking of Python Agent-based models: An Integration of MultiVeStA and Mesa'. The paper presents an integration of the statistical model checker MultiVeStA with Mesa, a Python-based framework for agent-based models. The replicability package allows to replicate all experiments in the paper, and can be used as a starting point to integrate and analyze new further models. Troubleshooting If you get an error message like "AttributeError: 'Schelling' object has not attribute 'agents'", then most likely you are running an old version of Mesa. Please upgrade it. It has been tested successfully with Mesa 2.2.4 (on Mac OSx), as well as Mesa 2.3.2 (on Windows 10). We thank Zhongly Wang from Bielefeld University, Germany

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average