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Automata Seluler Deterministik×System Dynamics×
BidangSimulasiSimulasi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1940s–1950s1961
PencetusJohn von Neumann and Stanislaw UlamJay W. Forrester
TipeDiscrete deterministic grid simulationContinuous simulation / feedback modelling
Sumber perintisvon 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
AliasDeterministic CA, Classical Cellular Automata, Rule-based CA, Finite Automata Grid Modelstock-flow modelling, Sistem Dinamiği (Stock-Flow Modelleme), SD modelling, feedback simulation
Terkait63
RingkasanDeterministic 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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ScholarGateBandingkan metode: Deterministic Cellular Automata · System Dynamics. Diakses 2026-06-17 dari https://scholargate.app/id/compare