MiniDemographicABM.jl: A simplified agent-based demographic model of the UK (2.2.0)
This package implements a simplified artificial agent-based demographic model of the UK. Individuals of an initial population are subject to ageing, deaths, births, divorces and marriages. A specific case-study simulation is progressed with a user-defined simulation fixed step size on a hourly, daily, weekly, monthly basis or even an arbitrary user-defined clock rate. While the model can serve as a base model to be adjusted to realistic large-scale socio-economics, pandemics or social interactions-based studies mainly within a demographic context, the main purpose of the model is to explore and exploit capabilities of the state-of-the-art Agents.jl Julia package as well as other ecosystem of Julia packages like GlobalSensitivity.jl. Code includes examples for evaluating global sensitivity analysis using Morris and Sobol methods and local sensitivity analysis using OFAT and OAT methods. Multi-threaded parallelization is enabled for improved runtime performance.
Release Notes
v2.2 (12.12.23): OAT Local SA, SA of non-deterministic function by multiple execution of methods or functions each with different seed number, multi-level multi-threading (33% speedup)
Associated Publications
[1] Atiyah Elsheikh, Specification of MiniDemographicABM.jl: A simplified agent-based demographic model of the UK. Technical report, arXiv:2307.16548, 2023
MiniDemographicABM.jl: A simplified agent-based demographic model of the UK 2.2.0
Submitted by
Atiyah Elsheikh
Published Dec 12, 2023
Last modified Dec 12, 2023
This package implements a simplified artificial agent-based demographic model of the UK. Individuals of an initial population are subject to ageing, deaths, births, divorces and marriages. A specific case-study simulation is progressed with a user-defined simulation fixed step size on a hourly, daily, weekly, monthly basis or even an arbitrary user-defined clock rate. While the model can serve as a base model to be adjusted to realistic large-scale socio-economics, pandemics or social interactions-based studies mainly within a demographic context, the main purpose of the model is to explore and exploit capabilities of the state-of-the-art Agents.jl Julia package as well as other ecosystem of Julia packages like GlobalSensitivity.jl. Code includes examples for evaluating global sensitivity analysis using Morris and Sobol methods and local sensitivity analysis using OFAT and OAT methods. Multi-threaded parallelization is enabled for improved runtime performance.
Release Notes
v2.2 (12.12.23): OAT Local SA, SA of non-deterministic function by multiple execution of methods or functions each with different seed number, multi-level multi-threading (33% speedup)