方法证据记录
Policy Scenario Agent-Based Modeling
Policy Scenario Agent-Based Modeling (PS-ABM) is a simulation method that uses agent-based models to evaluate and compare multiple policy scenarios. Heterogeneous autonomous agents interact under different policy regimes, and emergent system-level outcomes are compared across scenarios to inform evidence-based policy decisions. It is widely used in public health, urban planning, economics, and social policy research.
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。
Policy Scenario Agent-Based Modeling — Comparative policy evaluation using agent-based simulation
分类方法记录 · process-pipeline / simulation
- Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. · ISBN 9780691015675
- 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
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