Towards the Evolution of Synthetic Population in Continuous Time

Johan Barthélemy; Morgane Dumont; Timoteo Carletti

doi:10.1007/978-3-030-61503-1_19

Towards the Evolution of Synthetic Population in Continuous Time

Johan Barthélemy, Morgane Dumont, Timoteo Carletti

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

Résumé

Synthetic populations are tools widely spread in the agent-based community for representing a baseline population of interest whose dynamics and evolution will be simulated and studied. The dynamic evolution of the synthetic population has been typically performed using a discrete and fixed time step. A continuous approach based on the Gillespie algorithm is proposed in this research. Preliminary experiments illustrate the potential of the new method before future work are discussed.

langue originale	Anglais
titre	Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019
Sous-titre	Proceedings of the 15th Social Simulation Conference: 23–27 September 2019
rédacteurs en chef	Petra Ahrweiler, Martin Neumann
Editeur	Springer
Pages	201-205
Nombre de pages	5
ISBN (Electronique)	978-3-030-61503-1
ISBN (imprimé)	978-3-030-61502-4
Les DOIs	https://doi.org/10.1007/978-3-030-61503-1_19
Etat de la publication	Publié - 27 avr. 2021
Evénement	Social Simulation Conference 2019 - Mainz, Allemagne Durée: 23 sept. 2019 → 27 sept. 2019 https://ssc2019.uni-mainz.de/

Série de publications

Nom	Springer Proceedings in Complexity
Editeur	Springer
Volume	45
ISSN (imprimé)	2213-8684
ISSN (Electronique)	2213-8692

Comité scientifique

Comité scientifique	Social Simulation Conference 2019
Titre abrégé	ESSA 2019
Pays/Territoire	Allemagne
La ville	Mainz
période	23/09/19 → 27/09/19
Adresse Internet	https://ssc2019.uni-mainz.de/

Accès au document

10.1007/978-3-030-61503-1_19

https://link.springer.com/chapter/10.1007%2F978-3-030-61503-1_19#citeas

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Barthélemy, J., Dumont, M., & Carletti, T. (2021). Towards the Evolution of Synthetic Population in Continuous Time. Dans P. Ahrweiler, & M. Neumann (eds.), Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019: Proceedings of the 15th Social Simulation Conference: 23–27 September 2019 (p. 201-205). (Springer Proceedings in Complexity; Vol 45). Springer. https://doi.org/10.1007/978-3-030-61503-1_19

Barthélemy, Johan ; Dumont, Morgane ; Carletti, Timoteo. / Towards the Evolution of Synthetic Population in Continuous Time. Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019: Proceedings of the 15th Social Simulation Conference: 23–27 September 2019. Editeur / Petra Ahrweiler ; Martin Neumann. Springer, 2021. p. 201-205 (Springer Proceedings in Complexity).

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abstract = "Synthetic populations are tools widely spread in the agent-based community for representing a baseline population of interest whose dynamics and evolution will be simulated and studied. The dynamic evolution of the synthetic population has been typically performed using a discrete and fixed time step. A continuous approach based on the Gillespie algorithm is proposed in this research. Preliminary experiments illustrate the potential of the new method before future work are discussed.",

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author = "Johan Barth{\'e}lemy and Morgane Dumont and Timoteo Carletti",

note = "Funding Information: Fig. 19.5 Number of births per month assuming a constant uniform probability distribution over the year (left panel) and a non-uniform probability distribution (right panel) Acknowledgements The authors wish to thank their respective institution for their continuous support. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan V GPU used for this research. Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Social Simulation Conference 2019 , ESSA 2019 ; Conference date: 23-09-2019 Through 27-09-2019",

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Barthélemy, J, Dumont, M & Carletti, T 2021, Towards the Evolution of Synthetic Population in Continuous Time. Dans P Ahrweiler & M Neumann (eds), Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019: Proceedings of the 15th Social Simulation Conference: 23–27 September 2019. Springer Proceedings in Complexity, VOL. 45, Springer, p. 201-205, Social Simulation Conference 2019 , Mainz, Allemagne, 23/09/19. https://doi.org/10.1007/978-3-030-61503-1_19

Towards the Evolution of Synthetic Population in Continuous Time. / Barthélemy, Johan; Dumont, Morgane ; Carletti, Timoteo.
Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019: Proceedings of the 15th Social Simulation Conference: 23–27 September 2019. Ed. / Petra Ahrweiler; Martin Neumann. Springer, 2021. p. 201-205 (Springer Proceedings in Complexity; Vol 45).

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

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N1 - Funding Information: Fig. 19.5 Number of births per month assuming a constant uniform probability distribution over the year (left panel) and a non-uniform probability distribution (right panel) Acknowledgements The authors wish to thank their respective institution for their continuous support. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan V GPU used for this research. Publisher Copyright: © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Barthélemy J, Dumont M , Carletti T. Towards the Evolution of Synthetic Population in Continuous Time. Dans Ahrweiler P, Neumann M, rédacteurs en chef, Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019: Proceedings of the 15th Social Simulation Conference: 23–27 September 2019. Springer. 2021. p. 201-205. (Springer Proceedings in Complexity). doi: 10.1007/978-3-030-61503-1_19

Towards the Evolution of Synthetic Population in Continuous Time

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