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。
| 多目标微观模拟× | Agent-Based Microsimulation× | |
|---|---|---|
| 领域 | 仿真 | 仿真 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1957 (microsimulation); 2000s (multi-objective extension) | 1957 (microsimulation); 2000s (hybrid ABMS) |
| 提出者≠ | Orcutt, G. H. (microsimulation); multi-objective extension developed by policy modeling community | Orcutt, G. H. (microsimulation roots); Bonabeau, E. and others (ABM integration) |
| 类型≠ | Simulation-based policy evaluation | Hybrid simulation |
| 开创性文献≠ | Orcutt, G. H. (1957). A new type of socio-economic system. The Review of Economics and Statistics, 39(2), 116-123. DOI ↗ | Birkin, M., & Clarke, M. (2012). The enhancement of spatial microsimulation models using geodemographics. Annals of Regional Science, 49(2), 515–532. DOI ↗ |
| 别名 | MO-Microsim, Multi-criteria microsimulation, Multi-objective policy microsimulation, MOMS | ABMS, Agent-Based Micro-Simulation, Microsimulation with Agent-Based Modeling, Hybrid ABM-Microsimulation |
| 相关 | 5 | 5 |
| 摘要≠ | Multi-objective microsimulation extends the classic microsimulation framework by simultaneously tracking and optimizing several competing policy objectives — such as efficiency, equity, fiscal cost, and social welfare — across a heterogeneous population of individual units. It produces a Pareto frontier of policy options rather than a single recommended solution, enabling transparent tradeoff analysis for complex policy decisions. | Agent-based microsimulation (ABMS) merges traditional microsimulation's individual-level statistical tracking with agent-based modeling's behavioral rules and interaction mechanisms. It creates virtual populations of heterogeneous agents who evolve over time according to transition probabilities, adaptive behaviors, and social interactions, producing emergent system-level outcomes from micro-level dynamics. |
| ScholarGate数据集 ↗ |
|
|