方法证据记录
Robust Agent-Based Modeling
Robust Agent-Based Modeling (Robust ABM) integrates systematic uncertainty quantification and sensitivity analysis into agent-based simulation workflows. Rather than relying on a single parameter configuration, it explores the full parameter space to identify which inputs drive model outcomes, ensuring that conclusions hold across plausible input ranges and model structures.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Agent-Based Modeling — Uncertainty and Sensitivity Analysis for Agent-Based Simulations
分类方法记录 · process-pipeline / simulation
- Ligmann-Zielinska, A., Cheetham, W. (2006). Spatially-explicit sensitivity analysis of an agent-based model of land use change. International Journal of Geographical Information Science, 20(12), 1355-1377. · URL
- Railsback, S. F., Grimm, V. (2011). Agent-Based and Individual-Based Modeling: A Practical Introduction. Princeton University Press. · ISBN 9780691136745
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