Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Diferencētās sistēmdinamikas dinamika× | Aģentu modelēšana (ABM)× | |
|---|---|---|
| Nozare | Simulācija | Simulācija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1961 | 1970s–1990s (formalized as a field) |
| Autors≠ | Jay W. Forrester | Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s) |
| Tips≠ | Continuous feedback-loop simulation | Computational simulation method |
| Pirmavots≠ | Forrester, J. W. (1961). Industrial Dynamics. MIT Press, Cambridge, MA. ISBN: 9780262560221 | Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. DOI ↗ |
| Citi nosaukumi | Deterministic SD, Classical System Dynamics, Continuous Simulation SD, Forrester System Dynamics | ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling |
| 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. | Agent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior of complex systems by specifying and running autonomous agents — individuals, firms, cells, or any bounded entity — whose local interactions with each other and with their environment collectively produce global, system-level patterns that could not be predicted from any single agent's rules alone. |
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