Practical points for the software development of an agent-based model of a coupled human-natural system

This research paper provides software engineering guidance for researchers and domain experts developing agent-based models of coupled human-natural systems, using a model of agricultural production systems in the Argentine Pampas as a case study.

• The paper shares software engineering lessons learned from the design and implementation of an agent-based model focused on agricultural production systems in the Argentine Pampas. The discussion covers technical aspects including model classes, activity diagrams, data flow, package and folder layout, design patterns, performance optimization, initialization, results analysis, and the processes of model measurement, validation, and verification.

APA

Inter-American Institute for Global Change Research (2025). Practical points for the software development of an agent-based model of a coupled human-natural system. https://iai.int/es/pub_acad/practical-points-for-the-software-development-of-an-agent-based-model-of-a-coupled-human-natural-system/

Chicago

Inter-American Institute for Global Change Research. Practical points for the software development of an agent-based model of a coupled human-natural system. 2025. https://iai.int/es/pub_acad/practical-points-for-the-software-development-of-an-agent-based-model-of-a-coupled-human-natural-system/.

Wikipedia

{{cite report |author=Inter-American Institute for Global Change Research |title=Practical points for the software development of an agent-based model of a coupled human-natural system |date=13 January 2025 |url=https://iai.int/es/pub_acad/practical-points-for-the-software-development-of-an-agent-based-model-of-a-coupled-human-natural-system/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{interamericaninstituteforglobalchangeresearch2025practical, author = {{Inter-American Institute for Global Change Research}}, title = {{Practical points for the software development of an agent-based model of a coupled human-natural system}}, institution = {Inter-American Institute for Global Change Research}, year = {2025}, month = jan, url = {https://iai.int/es/pub_acad/practical-points-for-the-software-development-of-an-agent-based-model-of-a-coupled-human-natural-system/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }