Comparer des méthodes

	Dynamique des systèmes basée sur les agents	Simulation à événements discrets basée sur des agents
Domaine	Simulation	Simulation
Famille	Process / pipeline	Process / pipeline
Année d'origine	2000s	2000s
Auteur d'origine	Borshchev, A. & Filippov, A. (hybrid formalization); Sterman, J. D. (system dynamics foundation)	Hybridization formalized by multiple authors; Siebers & Aickelin, Lagergren & Buckley among key contributors
Type	Hybrid simulation model	Hybrid simulation paradigm
Source fondatrice	Borshchev, A., & Filippov, A. (2004). From system dynamics and discrete event to practical agent based modeling: Reasons, techniques, tools. In Proceedings of the 22nd International Conference of the System Dynamics Society. Oxford, UK.	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-SD, Hybrid ABM-SD, Agent-based SD, Multi-level hybrid simulation	AB-DES, Hybrid ABM-DES, Agent-DES, Hybrid Agent-Based Discrete-Event Simulation
Apparentées	5	4
Résumé	Agent-based system dynamics (AB-SD) is a hybrid simulation paradigm that couples agent-based modeling (ABM) at the micro level with system dynamics (SD) stock-and-flow structures at the macro level. This allows researchers to capture emergent individual behavior and feedback-driven aggregate dynamics within a single coherent model, making it especially valuable for complex socio-economic and epidemiological systems.	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.