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鲁棒性基于智能体的建模 — 基于智能体仿真的不确定性与敏感性分析

鲁棒性基于智能体的建模(Robust ABM)将系统性的不确定性量化和敏感性分析整合到基于智能体的仿真工作流程中。它不依赖于单一的参数配置,而是探索完整的参数空间,以识别哪些输入驱动模型结果,确保结论在合理的输入范围和模型结构下依然成立。

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来源

  1. 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. link
  2. Railsback, S. F., Grimm, V. (2011). Agent-Based and Individual-Based Modeling: A Practical Introduction. Princeton University Press. ISBN: 9780691136745

如何引用本页

ScholarGate. (2026, June 3). Robust Agent-Based Modeling — Uncertainty and Sensitivity Analysis for Agent-Based Simulations. ScholarGate. https://scholargate.app/zh/simulation/robust-agent-based-modeling

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ScholarGateRobust Agent-Based Modeling (Robust Agent-Based Modeling — Uncertainty and Sensitivity Analysis for Agent-Based Simulations). 于 2026-06-15 检索自 https://scholargate.app/zh/simulation/robust-agent-based-modeling · 数据集: https://doi.org/10.5281/zenodo.20539026