Using uncertainty and sensitivity analyses in socioecological agent-based models to improve their analytical performance and policy relevance.

Agent-based models (ABMs) have been widely used to study socioecological systems. They are useful for studying such systems because of their ability to incorporate micro-level behaviors among interacting agents, and to understand emergent phenomena due to these interactions. However, ABMs are inhere...

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Auteurs principaux: Arika Ligmann-Zielinska, Daniel B Kramer, Kendra Spence Cheruvelil, Patricia A Soranno
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2014
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Accès en ligne:https://doaj.org/article/4bd3b2b6d9f34539811f1572bca93f00
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