Comparar métodos

	Simulação Híbrida Baseada em Agentes e Eventos Discretos	Modelagem Baseada em Agentes (ABM)
Área	Simulação	Simulação
Família	Process / pipeline	Process / pipeline
Ano de origem	2000s	1970s–1990s (formalized as a field)
Autor original	Hybridization formalized by multiple authors; Siebers & Aickelin, Lagergren & Buckley among key contributors	Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)
Tipo	Hybrid simulation paradigm	Computational simulation method
Fonte seminal	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.	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press.
Outros nomes	AB-DES, Hybrid ABM-DES, Agent-DES, Hybrid Agent-Based Discrete-Event Simulation	ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling
Relacionados	4	5
Resumo	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.	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.