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| Клетъчни автомати× | Монте Карло симулация× | |
|---|---|---|
| Област≠ | Симулационно моделиране | Вземане на решения |
| Семейство≠ | Process / pipeline | MCDM |
| Година на възникване≠ | 1940s–1950s (formalized); 1970 (Conway's Game of Life); 2002 (Wolfram's systematic classification) | 1949 |
| Създател≠ | John von Neumann and Stanislaw Ulam (1940s–1950s); popularized by John Conway (1970) and Stephen Wolfram (1980s–2002) | Metropolis, N., Ulam, S. |
| Тип≠ | Grid-based computational simulation model | Robustness wrapper — Monte Carlo uncertainty propagation |
| Основополагащ източник≠ | 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 DOI ↗ |
| Други названия≠ | CA, Hücresel Otomat (Cellular Automata), lattice model, grid-based simulation | — |
| Свързани≠ | 5 | 0 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
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