Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Autômatos Celulares Baseados em Agentes× | Autômatos Celulares× | |
|---|---|---|
| Área | Simulação | Simulação |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1986–1996 | 1940s–1950s (formalized); 1970 (Conway's Game of Life); 2002 (Wolfram's systematic classification) |
| Autor original≠ | Wolfram, S.; Epstein, J. M. & Axtell, R. | John von Neumann and Stanislaw Ulam (1940s–1950s); popularized by John Conway (1970) and Stephen Wolfram (1980s–2002) |
| Tipo≠ | Hybrid spatial simulation | Grid-based computational simulation model |
| Fonte seminal≠ | Wolfram, S. (2002). A New Kind of Science. Wolfram Media, Champaign, IL. ISBN: 978-1579550080 | Wolfram, S. (2002). A New Kind of Science. Wolfram Media. ISBN: 978-1579550080 |
| Outros nomes | ABCA, CA-ABM, Agent-CA, Hybrid Agent-Cellular Automaton | CA, Hücresel Otomat (Cellular Automata), lattice model, grid-based simulation |
| Relacionados≠ | 6 | 5 |
| Resumo≠ | Agent-Based Cellular Automata (ABCA) is a hybrid simulation framework that integrates the local transition rules of cellular automata with the autonomous behavioral logic of agent-based modeling. Cells in a spatial grid both evolve according to neighborhood rules and host agents that perceive, decide, and act, enabling the study of complex spatial phenomena such as land-use change, disease spread, crowd dynamics, and ecosystem evolution. | 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. |
| ScholarGateConjunto de dados ↗ |
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