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Growing Populations from the ‘Bottom-Up’: An ABM Approach to the Generation of Synthetic Populations

  • Umberto Gostoli,
  • Martin Hinsch,
  • Eric Silverman

摘要

In this paper, we discuss the advantages and challenges of a ‘generative’ approach, as opposed to the widely used ‘descriptive’ approaches, to the production of synthetic populations. We present an implementation of this approach, in the form of an agent-based model which grows a synthetic population, starting from the UK fertility and mortality rates. We show how this model is able to reproduce some demographic data of the UK population.