方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 政策情景系统动力学× | 基于主体的系统动力学× | |
|---|---|---|
| 领域 | 仿真 | 仿真 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1960s–1990s | 2000s |
| 提出者≠ | Forrester, J. W. (system dynamics); scenario integration formalized by Sterman and others | Borshchev, A. & Filippov, A. (hybrid formalization); Sterman, J. D. (system dynamics foundation) |
| 类型≠ | Simulation-based policy analysis | Hybrid simulation model |
| 开创性文献≠ | Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill. ISBN: 9780072389159 | Borshchev, A., & Filippov, A. (2004). From system dynamics and discrete event to practical agent based modeling: Reasons, techniques, tools. In Proceedings of the 22nd International Conference of the System Dynamics Society. Oxford, UK. link ↗ |
| 别名 | PSSD, Policy SD Simulation, Scenario-Based System Dynamics, Policy Systems Modeling | AB-SD, Hybrid ABM-SD, Agent-based SD, Multi-level hybrid simulation |
| 相关 | 5 | 5 |
| 摘要≠ | Policy Scenario System Dynamics combines system dynamics modeling with structured scenario analysis to evaluate how different policy interventions affect complex, feedback-driven systems over time. By running multiple policy scenarios through a calibrated stock-and-flow model, analysts can compare long-run outcomes, identify leverage points, and anticipate unintended consequences before real-world implementation. | Agent-based system dynamics (AB-SD) is a hybrid simulation paradigm that couples agent-based modeling (ABM) at the micro level with system dynamics (SD) stock-and-flow structures at the macro level. This allows researchers to capture emergent individual behavior and feedback-driven aggregate dynamics within a single coherent model, making it especially valuable for complex socio-economic and epidemiological systems. |
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