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| Politikszenario-Systemdynamik× | Agentenbasierte Systemdynamik× | |
|---|---|---|
| Fachgebiet | Simulation | Simulation |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1960s–1990s | 2000s |
| Urheber≠ | Forrester, J. W. (system dynamics); scenario integration formalized by Sterman and others | Borshchev, A. & Filippov, A. (hybrid formalization); Sterman, J. D. (system dynamics foundation) |
| Typ≠ | Simulation-based policy analysis | Hybrid simulation model |
| Wegweisende Quelle≠ | 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 ↗ |
| Aliasnamen | PSSD, Policy SD Simulation, Scenario-Based System Dynamics, Policy Systems Modeling | AB-SD, Hybrid ABM-SD, Agent-based SD, Multi-level hybrid simulation |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | 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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