Title

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

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Link to publisher version (DOI)

http://dx.doi.org/10.1007/978-3-030-61503-1_19