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: | , , , |
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Format: | article |
Langue: | EN |
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Public Library of Science (PLoS)
2014
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Accès en ligne: | https://doaj.org/article/4bd3b2b6d9f34539811f1572bca93f00 |
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