ScholarGate
助手
Process / pipelineSimulation / optimization

政策情景多主体建模 — 使用多主体仿真进行比较政策评估

政策情景多主体建模(Policy Scenario Agent-Based Modeling, PS-ABM)是一种仿真方法,它利用多主体模型来评估和比较多个政策情景。异质的自主主体在不同的政策制度下进行互动,然后比较不同情景下涌现的系统级结果,为循证政策决策提供信息。该方法广泛应用于公共卫生、城市规划、经济学和社会政策研究。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. ISBN: 9780691015675
  2. Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences, 99(S3), 7280-7287. DOI: 10.1073/pnas.082080899

如何引用本页

ScholarGate. (2026, June 3). Policy Scenario Agent-Based Modeling — Comparative policy evaluation using agent-based simulation. ScholarGate. https://scholargate.app/zh/simulation/policy-scenario-agent-based-modeling

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGatePolicy Scenario Agent-Based Modeling (Policy Scenario Agent-Based Modeling — Comparative policy evaluation using agent-based simulation). 于 2026-06-15 检索自 https://scholargate.app/zh/simulation/policy-scenario-agent-based-modeling · 数据集: https://doi.org/10.5281/zenodo.20539026