Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Робастное моделирование на основе агентов× | Анализ чувствительности× | |
|---|---|---|
| Область≠ | Имитационное моделирование | Принятие решений |
| Семейство≠ | Process / pipeline | MCDM |
| Год появления≠ | 2000s | 2004 |
| Автор метода≠ | Ligmann-Zielinska, A.; Railsback, S. F.; Grimm, V. | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| Тип≠ | Simulation robustness framework | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| Основополагающий источник≠ | Ligmann-Zielinska, A., Cheetham, W. (2006). Spatially-explicit sensitivity analysis of an agent-based model of land use change. International Journal of Geographical Information Science, 20(12), 1355-1377. link ↗ | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗ |
| Другие названия≠ | Robust ABM, ABM Robustness Analysis, Uncertainty-Aware ABM, Robust Multi-Agent Simulation | — |
| Связанные≠ | 5 | 0 |
| Сводка≠ | Robust Agent-Based Modeling (Robust ABM) integrates systematic uncertainty quantification and sensitivity analysis into agent-based simulation workflows. Rather than relying on a single parameter configuration, it explores the full parameter space to identify which inputs drive model outcomes, ensuring that conclusions hold across plausible input ranges and model structures. | SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор данных ↗ |
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