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Deterministlikud rakulised automaadid×Süsteemidünaamika×
ValdkondSimulatsioonSimulatsioon
PerekondProcess / pipelineProcess / pipeline
Tekkeaasta1940s–1950s1961
LoojaJohn von Neumann and Stanislaw UlamJay W. Forrester
TüüpDiscrete deterministic grid simulationContinuous simulation / feedback modelling
Algallikasvon Neumann, J. (1966). Theory of Self-Reproducing Automata. University of Illinois Press, Urbana, IL. (Edited and completed by A. W. Burks.) link ↗Sterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill. ISBN: 978-0072389159
RööpnimetusedDeterministic CA, Classical Cellular Automata, Rule-based CA, Finite Automata Grid Modelstock-flow modelling, Sistem Dinamiği (Stock-Flow Modelleme), SD modelling, feedback simulation
Seotud63
KokkuvõteDeterministic Cellular Automata (DCA) is a simulation method that models the evolution of complex systems through a regular grid of cells, each holding a discrete state, updated synchronously at each time step according to a fixed, deterministic rule applied to the cell and its neighbors. The outcome is fully reproducible given the same initial conditions and rule set.System dynamics is a continuous simulation method, developed by Jay W. Forrester at MIT in 1961, that represents a complex system through stocks (accumulations), flows (rates of change), and feedback loops. By expressing these relationships as coupled ordinary differential equations, it reproduces how policies, delays, and nonlinear feedbacks drive system behaviour over time — making it a cornerstone tool in policy analysis, organisational modelling, and sustainability research.
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ScholarGateVõrdle meetodeid: Deterministic Cellular Automata · System Dynamics. Loetud 2026-06-15 aadressilt https://scholargate.app/et/compare