Towards the Evolution of Synthetic Population in Continuous Time

Johan Barthélemy, Morgane Dumont, Timoteo Carletti

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationAdvances in Social Simulation
Subtitle of host publicationProceedings of the 15th Social Simulation Conference: 23–27 September 2019
EditorsPeter Ahrweiler, Martin Neumann
PublisherSpringer
Pages201-205
ISBN (Electronic)978-3-030-61503-1
ISBN (Print)978-3-030-61502-4
DOIs
Publication statusPublished - 27 Apr 2021
EventSocial Simulation Conference 2019 - Mainz, Germany
Duration: 23 Sep 201927 Sep 2019
https://ssc2019.uni-mainz.de/

Publication series

NameSpringer Proceedings in Complexity
PublisherSpringer
Volume45
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Scientific committee

Scientific committeeSocial Simulation Conference 2019
Abbreviated titleESSA 2019
CountryGermany
CityMainz
Period23/09/1927/09/19
Internet address

Keywords

  • Synthetic Population
  • Gillespie algorithm
  • continuos time
  • population evolution

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