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| Agentenbasierte Systemdynamik× | Multi-Objective System Dynamics× | |
|---|---|---|
| Fachgebiet | Simulation | Simulation |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 2000s | 1961 (SD); multi-objective extensions from 1990s onward |
| Urheber≠ | Borshchev, A. & Filippov, A. (hybrid formalization); Sterman, J. D. (system dynamics foundation) | Forrester, J. W. (System Dynamics); multi-objective extension by various authors |
| Typ≠ | Hybrid simulation model | Simulation / optimization hybrid |
| Wegweisende Quelle≠ | 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 ↗ | Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill. ISBN: 978-0-07-231135-8 |
| Aliasnamen | AB-SD, Hybrid ABM-SD, Agent-based SD, Multi-level hybrid simulation | MOSD, Multi-criteria SD, Multi-objective SD modeling, System dynamics with multiple objectives |
| Verwandt≠ | 5 | 4 |
| Zusammenfassung≠ | 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. | Multi-Objective System Dynamics (MOSD) couples the feedback-loop simulation power of System Dynamics with explicit multi-criteria optimization, enabling analysts to explore how a dynamic system can simultaneously satisfy competing policy goals — such as cost minimization, environmental sustainability, and social equity — over time. |
| ScholarGateDatensatz ↗ |
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