Comparar métodos

	Simulación Basada en Agentes de Líneas de Espera	Simulación Híbrida de Eventos Discretos Basada en Agentes
Campo	Simulación	Simulación
Familia	Process / pipeline	Process / pipeline
Año de origen	2000s	2000s
Autor original	Macal, C. M. & North, M. J. (hybrid formalization); queueing theory rooted in Erlang (1909)	Hybridization formalized by multiple authors; Siebers & Aickelin, Lagergren & Buckley among key contributors
Tipo	Hybrid simulation — agent-based + queueing	Hybrid simulation paradigm
Fuente seminal	Macal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151–162.	Lagergren, J. H., & Buckley, E. (2010). A hybrid approach to simulation: Combining agent-based and discrete event simulation. Proceedings of the 2010 Winter Simulation Conference, pp. 170–181. IEEE.
Alias	AB-QS, Agent-Based Queue Simulation, ABM Queueing, Agent Queue Simulation	AB-DES, Hybrid ABM-DES, Agent-DES, Hybrid Agent-Based Discrete-Event Simulation
Relacionados	5	4
Resumen	Agent-Based Queueing Simulation (AB-QS) combines agent-based modeling with queueing theory to simulate systems where autonomous, decision-making entities interact through waiting lines and service points. Each entity (patient, customer, job) is modeled as an independent agent with its own state and behavioral rules, enabling richer, more realistic dynamics than classical queueing models alone.	Agent-based discrete-event simulation (AB-DES) is a hybrid modeling paradigm that couples autonomous agent behavior with an event-driven execution engine. It captures the decision-making heterogeneity of individual entities while maintaining the precise, time-stamped flow control of discrete-event simulation, making it suitable for complex systems where both individual agency and process sequencing matter.