方法证据记录
Stochastic System Dynamics
Stochastic System Dynamics (SSD) extends conventional system dynamics by replacing fixed parameter values and deterministic flow equations with probability distributions and random draws. Running many replications of the stock-flow model yields probabilistic trajectories — confidence bands rather than single lines — enabling rigorous uncertainty quantification and risk analysis in complex feedback systems such as epidemic models, supply chains, and energy policy scenarios.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Stochastic System Dynamics (SSD)
分类方法记录 · process-pipeline / simulation
- Sterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill. · ISBN 978-0072389159
- Rahmandad, H., Sterman, J.D. (2008). Heterogeneity and network structure in the dynamics of diffusion: Comparing agent-based and differential equation models. Management Science, 54(5), 998-1014. · DOI 10.1287/mnsc.1070.0787
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