Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Diferencētās sistēmdinamikas dinamika× | Stohastiskā sistēmu dinamika× | |
|---|---|---|
| Nozare | Simulācija | Simulācija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1961 | 1980s–2000s |
| Autors≠ | Jay W. Forrester | Jay W. Forrester (base SD); stochastic extensions developed through 1980s–2000s by multiple researchers |
| Tips≠ | Continuous feedback-loop simulation | Continuous stochastic simulation |
| Pirmavots≠ | Forrester, J. W. (1961). Industrial Dynamics. MIT Press, Cambridge, MA. ISBN: 9780262560221 | Sterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill. ISBN: 978-0072389159 |
| Citi nosaukumi | Deterministic SD, Classical System Dynamics, Continuous Simulation SD, Forrester System Dynamics | SSD, stochastic stock-flow modelling, probabilistic system dynamics, random system dynamics |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | Deterministic System Dynamics is the classical form of System Dynamics introduced by Jay Forrester in 1961, using fixed (non-probabilistic) ordinary differential equations to simulate stock-and-flow structures and feedback loops over time. All model parameters and relationships are specified as single-valued constants or deterministic functions, yielding a single trajectory for each simulation run. It is widely used in policy analysis, business strategy, ecology, and public health modeling. | 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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