方法对比
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| 多目标系统动力学× | 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≠ | 1961 (SD); multi-objective extensions from 1990s onward | 2000s |
| 提出者≠ | Forrester, J. W. (System Dynamics); multi-objective extension by various authors | Borshchev, A. & Filippov, A. (hybrid formalization); Sterman, J. D. (system dynamics foundation) |
| 类型≠ | Simulation / optimization hybrid | 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: 978-0-07-231135-8 | 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 | MOSD, Multi-criteria SD, Multi-objective SD modeling, System dynamics with multiple objectives | AB-SD, Hybrid ABM-SD, Agent-based SD, Multi-level hybrid simulation |
| 相关≠ | 4 | 5 |
| 摘要≠ | 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. | 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. |
| ScholarGate数据集 ↗ |
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