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| Dinamika Sistem Multi-Objektif× | Dinamika Sistem Berbasis Agen× | |
|---|---|---|
| Bidang | Simulasi | Simulasi |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1961 (SD); multi-objective extensions from 1990s onward | 2000s |
| Pencetus≠ | Forrester, J. W. (System Dynamics); multi-objective extension by various authors | Borshchev, A. & Filippov, A. (hybrid formalization); Sterman, J. D. (system dynamics foundation) |
| Tipe≠ | Simulation / optimization hybrid | Hybrid simulation model |
| Sumber perintis≠ | 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 ↗ |
| Alias | 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 |
| Terkait≠ | 4 | 5 |
| Ringkasan≠ | 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. |
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