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 language | English |
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Title of host publication | Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019 |
Subtitle of host publication | Proceedings of the 15th Social Simulation Conference: 23–27 September 2019 |
Editors | Petra Ahrweiler, Martin Neumann |
Publisher | Springer |
Pages | 201-205 |
Number of pages | 5 |
ISBN (Electronic) | 978-3-030-61503-1 |
ISBN (Print) | 978-3-030-61502-4 |
DOIs | |
Publication status | Published - 27 Apr 2021 |
Event | Social Simulation Conference 2019 - Mainz, Germany Duration: 23 Sept 2019 → 27 Sept 2019 https://ssc2019.uni-mainz.de/ |
Publication series
Name | Springer Proceedings in Complexity |
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Publisher | Springer |
Volume | 45 |
ISSN (Print) | 2213-8684 |
ISSN (Electronic) | 2213-8692 |
Scientific committee
Scientific committee | Social Simulation Conference 2019 |
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Abbreviated title | ESSA 2019 |
Country/Territory | Germany |
City | Mainz |
Period | 23/09/19 → 27/09/19 |
Internet address |
Keywords
- Synthetic Population
- Gillespie algorithm
- continuos time
- population evolution
- Synthetic population
- Continuous evolution