Towards the Evolution of Synthetic Population in Continuous Time
Publication Name
Springer Proceedings in Complexity
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.
Open Access Status
This publication is not available as open access
First Page
201
Last Page
205
Funding Sponsor
Nvidia