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dc.contributor.author
Bert, Federico Esteban
dc.contributor.author
Rovere, Santiago L.
dc.contributor.author
Macal, Charles M.
dc.contributor.author
North, Michael J.
dc.contributor.author
Podestá, Guillermo P.
dc.date.available
2017-05-10T19:04:47Z
dc.date.issued
2014-02
dc.identifier.citation
Bert, Federico Esteban; Rovere, Santiago L.; Macal, Charles M.; North, Michael J.; Podestá, Guillermo P.; Lessons from a comprehensive validation of an agent based-model: the experience of the Pampas Model of Argentinean agricultural systems; Elsevier Science; Ecological Modelling; 273; 2-2014; 284-298
dc.identifier.issn
0304-3800
dc.identifier.uri
http://hdl.handle.net/11336/16231
dc.description.abstract
There are few published examples of comprehensively validated large-scale land-use agent-based models (ABMs). We present guidelines for doing so, and provide an example in the context of the Pampas Model (PM), an ABM aimed to explore the dynamics of structural and land use changes in the agricultural systems of the Argentine Pampas. Many complementary strategies are proposed for validation of ABM’s. We adopted a validation framework that relies on two main streams: (a) validation of model processes and components during model development, which involved a literature survey, design based on similar models, involvement of stakeholders, and focused test scenarios and (b) empirical validation, which involved comparisons of model outputs from multiple realistic simulations against real world data. The design process ensured a realistic model ontology and representative behavioral rules. As result, we obtained reasonable outcomes from a set of initial and simplified scenarios: the PM successfully reproduced the direction of the primary observed structural and land tenure patterns, even before calibration. The empirical validation process lead to tuning and further development of the PM. After this, the PM was able to reproduce not only the direction but also the magnitude of the observed changes. The main lesson from our validation process is the need for multiple validation strategies, including empirical validation. Approaches intended to validate model processes and components may lead to structurally realistic models. However, some kind of subsequent empirical validation is needed to assess the model’s ability to reproduce observed results.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Agent-Based Model
dc.subject
Validation
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Agriculture
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Land Use
dc.subject.classification
Ciencias de la Computación
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Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
Lessons from a comprehensive validation of an agent based-model: the experience of the Pampas Model of Argentinean agricultural systems
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-04-25T13:28:12Z
dc.journal.volume
273
dc.journal.pagination
284-298
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Bert, Federico Esteban. Universidad de Buenos Aires. Facultad de Agronomia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Rovere, Santiago L.. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
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Fil: Macal, Charles M.. Argonne National Laboratory; Estados Unidos
dc.description.fil
Fil: North, Michael J.. Argonne National Laboratory; Estados Unidos
dc.description.fil
Fil: Podestá, Guillermo P.. University of Miami; Estados Unidos
dc.journal.title
Ecological Modelling
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ecolmodel.2013.11.024
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0304380013005723


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