Uporedite metode

	Ćelijski automati	Diskretna simulacija događaja (DES)
Oblast	Simulacija	Simulacija
Porodica	Process / pipeline	Process / pipeline
Godina nastanka	1940s–1950s (formalized); 1970 (Conway's Game of Life); 2002 (Wolfram's systematic classification)	1960s (formalized); modern computational form from 1970s onward
Tvorac	John von Neumann and Stanislaw Ulam (1940s–1950s); popularized by John Conway (1970) and Stephen Wolfram (1980s–2002)	Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s)
Tip	Grid-based computational simulation model	Stochastic process simulation
Temeljni izvor	Wolfram, S. (2002). A New Kind of Science. Wolfram Media. ISBN: 978-1579550080	Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127
Drugi nazivi	CA, Hücresel Otomat (Cellular Automata), lattice model, grid-based simulation	DES, event-driven simulation, Ayrık Olay Simülasyonu (DES)
Srodne	5	4
Sažetak	Cellular automata (CA) is a grid-based computational simulation model, first formalized by John von Neumann and Stanislaw Ulam in the 1940s–1950s and brought to wide attention by John Conway's Game of Life (1970) and Stephen Wolfram's systematic classification (2002), in which a lattice of cells — each holding a finite discrete state — evolves in discrete time steps according to local neighborhood interaction rules, causing complex global patterns to emerge from simple local specifications.	Discrete-Event Simulation (DES) is a computational modeling paradigm in which the state of a system changes only at a countable sequence of points in time — the events. Between events nothing changes, so the simulation clock jumps directly from one event to the next. Formalized through the foundational textbooks of Banks, Carson, Nelson and Nicol and of Law in the 1960s–2000s, DES has become the standard tool for analyzing queuing systems, healthcare patient flows, manufacturing lines, and logistics networks where entities move through resources over time.