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Simularea cu evenimente discrete bazată pe agenți×Simulare Monte Carlo×
DomeniuSimulareLuarea deciziilor
FamilieProcess / pipelineMCDM
Anul apariției2000s1949
Autorul originalHybridization formalized by multiple authors; Siebers & Aickelin, Lagergren & Buckley among key contributorsMetropolis, N., Ulam, S.
TipHybrid simulation paradigmRobustness wrapper — Monte Carlo uncertainty propagation
Sursa seminalăLagergren, 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. link ↗Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗
Denumiri alternativeAB-DES, Hybrid ABM-DES, Agent-DES, Hybrid Agent-Based Discrete-Event Simulation
Înrudite40
RezumatAgent-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.MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateCompară metode: Agent-based Discrete-Event Simulation · MONTE-CARLO-SIMULATION. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare