Computational Model Library

MiniDemographicABM.jl: A simplified agent-based demographic model of the UK (1.1.0)

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

V1.1 (28.7.2023): - Model documentation as a pdf and unified naming convention of model parameters
V1.0 (22.2.2023) : First initial implementation exploring various capabilities of Agents.jl as a demonstration of how to implement an abstract demographic ABM, not yet calibrated. A space type was implemented as a demonstration. A comprehensive set of unit tests is included. Blue style coding convetions are followed.

Associated Publications

[1] Atiyah Elsheikh, Specification of MiniDemographicABM.jl: A simplified agent-based demographic model of the UK. Technical report, arXiv:2307.16548, 2023

This release is out-of-date. The latest version is 2.2.0

MiniDemographicABM.jl: A simplified agent-based demographic model of the UK 1.1.0

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

V1.1 (28.7.2023): - Model documentation as a pdf and unified naming convention of model parameters
V1.0 (22.2.2023) : First initial implementation exploring various capabilities of Agents.jl as a demonstration of how to implement an abstract demographic ABM, not yet calibrated. A space type was implemented as a demonstration. A comprehensive set of unit tests is included. Blue style coding convetions are followed.

Version Submitter First published Last modified Status
2.2.0 Atiyah Elsheikh Tue Dec 12 15:40:26 2023 Tue Dec 12 15:40:26 2023 Published
2.1.0 Atiyah Elsheikh Fri Nov 24 14:50:46 2023 Fri Nov 24 14:55:21 2023 Published
1.3.0 Atiyah Elsheikh Mon Oct 23 09:25:22 2023 Mon Oct 23 09:25:22 2023 Published
1.1.0 Atiyah Elsheikh Fri Jul 28 15:49:07 2023 Fri Jul 28 15:49:07 2023 Published

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