Compara mètodes

	Modelització Basada en Agents (ABM)	Model SEIR
Camp	Simulació	Epidemiologia
Família	Process / pipeline	Regression model
Any d'origen	1970s–1990s (formalized as a field)	1991
Autor original	Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)	Kermack & McKendrick; Anderson & May
Tipus	Computational simulation method	Deterministic compartmental ODE model
Font seminal	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press.	Anderson, R. M., & May, R. M. (1991). Infectious Diseases of Humans: Dynamics and Control. Oxford University Press. ISBN: 978-0-19-854040-3
Àlies	ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling	Susceptible-Exposed-Infectious-Recovered Model, SEIR Compartmental Model, Latent Period Epidemic Model, SEIR Bulaşıcı Hastalık Modeli
Relacionats	5	3
Resum	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.	The SEIR model is a deterministic compartmental model that partitions a closed population into four epidemiological states: Susceptible (S), Exposed (E), Infectious (I), and Recovered (R). It extends the classic SIR framework by explicitly incorporating a latent period during which individuals have been infected but are not yet infectious. The model was systematically formalized by Anderson and May (1991) and remains a cornerstone of mathematical epidemiology for diseases with non-negligible incubation periods.