Comparar métodos

	Modelagem Baseada em Agentes (ABM)	Autômatos Celulares
Área	Simulação	Simulação
Família	Process / pipeline	Process / pipeline
Ano de origem	1970s–1990s (formalized as a field)	1940s–1950s (formalized); 1970 (Conway's Game of Life); 2002 (Wolfram's systematic classification)
Autor original	Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)	John von Neumann and Stanislaw Ulam (1940s–1950s); popularized by John Conway (1970) and Stephen Wolfram (1980s–2002)
Tipo	Computational simulation method	Grid-based computational simulation model
Fonte seminal	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press.	Wolfram, S. (2002). A New Kind of Science. Wolfram Media. ISBN: 978-1579550080
Outros nomes	ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling	CA, Hücresel Otomat (Cellular Automata), lattice model, grid-based simulation
Relacionados	5	5
Resumo	Agent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior of complex systems by specifying and running autonomous agents — individuals, firms, cells, or any bounded entity — whose local interactions with each other and with their environment collectively produce global, system-level patterns that could not be predicted from any single agent's rules alone.	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.