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Stochastic System Dynamics/Evidence
Method evidence record

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Stochastic System Dynamics (SSD)
Taxonomic method record · 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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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyDiscrete-Event Simulationmachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.See alsoSENSITIVITY-ANALYSISmachine-suggested · Relational suggestion, not evidence.Same method familyStochastic Differential Equationsmachine-suggested · Relational suggestion, not evidence.Same method familySystem Dynamicsmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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