เปรียบเทียบวิธี

	เซลลูลาร์ออโตมาตา	การจำลองแบบมอนติคาร์โล
สาขาวิชา	การจำลอง	การตัดสินใจ
ตระกูล	Process / pipeline	MCDM
ปีกำเนิด	1940s–1950s (formalized); 1970 (Conway's Game of Life); 2002 (Wolfram's systematic classification)	1949
ผู้ริเริ่ม	John von Neumann and Stanislaw Ulam (1940s–1950s); popularized by John Conway (1970) and Stephen Wolfram (1980s–2002)	Metropolis, N., Ulam, S.
ประเภท	Grid-based computational simulation model	Robustness wrapper — Monte Carlo uncertainty propagation
แหล่งต้นตำรับ	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
ชื่อเรียกอื่น	CA, Hücresel Otomat (Cellular Automata), lattice model, grid-based simulation	—
ที่เกี่ยวข้อง	5	0
สรุป	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.