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paper: Edit research citations mentioned.
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65 changes: 32 additions & 33 deletions paper/paper.bib
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Expand Up @@ -72,17 +72,6 @@ @inproceedings{wang2022mesa
}

# Used Mesa (cited 2015 paper)
@article{namany2020sustainable,
title={Sustainable food security decision-making: an agent-based modelling approach.},
author={Namany, Sarah and Govindan, Rajesh and Alfagih, Luluwah and McKay, Gordon and Al-Ansari, Tareq},
journal={Journal of Cleaner Production},
volume={255},
pages={120296},
year={2020},
publisher={Elsevier},
doi = {10.1016/j.jclepro.2020.120296}
}

@article{sun2020post,
title={A post-disaster resource allocation framework for improving resilience of interdependent infrastructure networks},
author={Sun, Jingran and Zhang, Zhanmin},
Expand All @@ -94,17 +83,6 @@ @article{sun2020post
doi = {10.1016/j.trd.2020.102455}
}

@article{nageli2020towards,
title={Towards agent-based building stock modeling: Bottom-up modeling of long-term stock dynamics affecting the energy and climate impact of building stocks},
author={N{\"a}geli, Claudio and Jakob, Martin and Catenazzi, Giacomo and Ostermeyer, York},
journal={Energy and Buildings},
volume={211},
pages={109763},
year={2020},
publisher={Elsevier},
doi = {10.1016/j.enbuild.2020.109763}
}

@article{anatolitis2017putting,
title={Putting renewable energy auctions into action--An agent-based model of onshore wind power auctions in Germany},
author={Anatolitis, Vasilios and Welisch, Marijke},
Expand All @@ -116,6 +94,18 @@ @article{anatolitis2017putting
doi = {10.1016/j.enpol.2017.08.024}
}

@article{pham2021interventions,,
title = {Interventions to control nosocomial transmission of {SARS}-{CoV}-2: a modelling study},
author = {Pham, Thi Mui and Tahir, Hannan and van de Wijgert, Janneke H. H. M. and Van der Roest, Bastiaan R. and Ellerbroek, Pauline and Bonten, Marc J. M. and Bootsma, Martin C. J. and Kretzschmar, Mirjam E.},
journal = {BMC Medicine},
volume = {19},
pages = {211},
year = {2021},
month = aug,
publisher={Springer},
doi = {10.1186/s12916-021-02060-y}
}

# Used Mesa (cited 2020 paper)
@article{leon2022multi,
title={A multi-agent approach to the truck multi-drone routing problem},
Expand All @@ -128,6 +118,17 @@ @article{leon2022multi
doi = {10.1016/j.eswa.2022.116604}
}

@article{taberna2023uncertainty,
title={Putting renewable energy auctions into action--An agent-based model of onshore wind power auctions in Germany},
author={Anatolitis, Vasilios and Welisch, Marijke},
journal={Energy Policy},
volume={110},
pages={394--402},
year={2017},
publisher={Elsevier},
doi = {10.1016/j.enpol.2017.08.024}
}

@article{ghanem2022balancing,
title={Balancing consumer and business value of recommender systems: A simulation-based analysis},
author={Ghanem, Nada and Leitner, Stephan and Jannach, Dietmar},
Expand All @@ -139,14 +140,12 @@ @article{ghanem2022balancing
doi = {10.1016/j.elerap.2022.101195}
}

@article{taberna2023uncertainty,
title={Uncertainty in boundedly rational household adaptation to environmental shocks},
author={Taberna, Alessandro and Filatova, Tatiana and Hadjimichael, Antonia and Noll, Brayton},
journal={Proceedings of the National Academy of Sciences},
volume={120},
number={44},
pages={e2215675120},
year={2023},
publisher={National Acad Sciences},
doi = {10.1073/pnas.2215675120}
}
@article{souza2023edgesimpy,
title = {EdgeSimPy: Python-based modeling and simulation of edge computing resource management policies},
author = {Paulo S. Souza and Tiago Ferreto and Rodrigo N. Calheiros},
journal = {Future Generation Computer Systems},
volume = {148},
pages = {446-459},
year = {2023},
doi = {https://doi.org/10.1016/j.future.2023.06.013}
}
4 changes: 2 additions & 2 deletions paper/paper.md
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Expand Up @@ -229,13 +229,13 @@ Mesa supports systematic parameter exploration:
# Applications
Mesa has been applied across diverse domains, including:

- Sustainability and food security modeling, including supply chain optimization and resource allocation [@namany2020sustainable]
- Infrastructure resilience and post-disaster recovery planning [@sun2020post]
- Building stock modeling for energy demand and emissions analysis [@nageli2020towards]
- Market modeling, including renewable energy auctions and consumer behavior [@anatolitis2017putting]
- Transportation optimization, such as combined truck-drone delivery routing [@leon2022multi]
- Recommender systems analysis examining consumer-business value tradeoffs over time [@ghanem2022balancing]
- Climate adaptation modeling examining household-level behavioral responses to environmental shocks [@taberna2023uncertainty]
- SEIR modeling of Sars-CoV-2 (Covid-19) [@pham2021interventions]
- Management of edge computing resources [@souza2023edgesimpy]

These applications showcase Mesa's versatility in modeling complex systems with autonomous interacting agents, whether representing individual consumers, infrastructure components, buildings, or vehicles.

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