قارن الطرق

	الأتمتة الخلوية	محاكاة مونت كارلو
المجال	المحاكاة	اتخاذ القرار
العائلة	Process / pipeline	MCDM
سنة النشأة	1940s–1950s (formalized); 1970 (Conway's Game of Life); 2002 (Wolfram's systematic classification)	1949
صاحب الطريقة	John von Neumann and Stanislaw Ulam (1940s–1950s); popularized by John Conway (1970) and Stephen Wolfram (1980s–2002)	Metropolis, N., Ulam, S.
النوع	Grid-based computational simulation model	Robustness wrapper — Monte Carlo uncertainty propagation
المصدر التأسيسي	Wolfram, S. (2002). A New Kind of Science. Wolfram Media. ISBN: 978-1579550080	Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association
الأسماء البديلة	CA, Hücresel Otomat (Cellular Automata), lattice model, grid-based simulation	—
ذات صلة	5	0
الملخص	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.	MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.