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An empirically informed agent-based model of a Nepalese smallholder village
Agent-based modelling methodologies offer a number of advantages when it comes to socio-ecological systems research. In particular, they enable experiments to be conducted that are not practical or feasible to conduct in real world settings; they can capture heterogeneity in agent circumstances, kno...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374244/ https://www.ncbi.nlm.nih.gov/pubmed/34434796 http://dx.doi.org/10.1016/j.mex.2021.101276 |
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author | Roxburgh, Nicholas Evans, Andrew GC, Raj K. Malleson, Nick Heppenstall, Alison Stringer, Lindsay |
author_facet | Roxburgh, Nicholas Evans, Andrew GC, Raj K. Malleson, Nick Heppenstall, Alison Stringer, Lindsay |
author_sort | Roxburgh, Nicholas |
collection | PubMed |
description | Agent-based modelling methodologies offer a number of advantages when it comes to socio-ecological systems research. In particular, they enable experiments to be conducted that are not practical or feasible to conduct in real world settings; they can capture heterogeneity in agent circumstances, knowledge, behaviour, and experiences; and they facilitate a multi-scale, causal understanding of system dynamics. However, developing detailed, empirically informed agent-based models is typically a time and resource intensive activity. Here, we describe a detail-rich, ethnographically informed agent-based model of a Nepalese smallholder village that was created for the purpose of studying the impact of multiple stressors on mountain communities. In doing so, we aim to make the model accessible to other researchers interested in simulating such communities and to provide inspiration for other socio-ecological system modellers. • The model is described using the ODD protocol. • The number of replicate runs required for experiments is discussed, and the model validation and sensitivity analysis processes that have been conducted are explained. • Suggestions are made for how the model can practically be used and for how model outputs can be analysed. |
format | Online Article Text |
id | pubmed-8374244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83742442021-08-24 An empirically informed agent-based model of a Nepalese smallholder village Roxburgh, Nicholas Evans, Andrew GC, Raj K. Malleson, Nick Heppenstall, Alison Stringer, Lindsay MethodsX Method Article Agent-based modelling methodologies offer a number of advantages when it comes to socio-ecological systems research. In particular, they enable experiments to be conducted that are not practical or feasible to conduct in real world settings; they can capture heterogeneity in agent circumstances, knowledge, behaviour, and experiences; and they facilitate a multi-scale, causal understanding of system dynamics. However, developing detailed, empirically informed agent-based models is typically a time and resource intensive activity. Here, we describe a detail-rich, ethnographically informed agent-based model of a Nepalese smallholder village that was created for the purpose of studying the impact of multiple stressors on mountain communities. In doing so, we aim to make the model accessible to other researchers interested in simulating such communities and to provide inspiration for other socio-ecological system modellers. • The model is described using the ODD protocol. • The number of replicate runs required for experiments is discussed, and the model validation and sensitivity analysis processes that have been conducted are explained. • Suggestions are made for how the model can practically be used and for how model outputs can be analysed. Elsevier 2021-03-31 /pmc/articles/PMC8374244/ /pubmed/34434796 http://dx.doi.org/10.1016/j.mex.2021.101276 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Method Article Roxburgh, Nicholas Evans, Andrew GC, Raj K. Malleson, Nick Heppenstall, Alison Stringer, Lindsay An empirically informed agent-based model of a Nepalese smallholder village |
title | An empirically informed agent-based model of a Nepalese smallholder village |
title_full | An empirically informed agent-based model of a Nepalese smallholder village |
title_fullStr | An empirically informed agent-based model of a Nepalese smallholder village |
title_full_unstemmed | An empirically informed agent-based model of a Nepalese smallholder village |
title_short | An empirically informed agent-based model of a Nepalese smallholder village |
title_sort | empirically informed agent-based model of a nepalese smallholder village |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374244/ https://www.ncbi.nlm.nih.gov/pubmed/34434796 http://dx.doi.org/10.1016/j.mex.2021.101276 |
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