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Agentno-temeljena simulacija redova čekanja×Simulacija Monte Carlo×
PodručjeSimulacijaDonošenje odluka
ObiteljProcess / pipelineMCDM
Godina nastanka2000s1949
TvoracMacal, C. M. & North, M. J. (hybrid formalization); queueing theory rooted in Erlang (1909)Metropolis, N., Ulam, S.
VrstaHybrid simulation — agent-based + queueingRobustness wrapper — Monte Carlo uncertainty propagation
Temeljni izvorMacal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151–162. DOI ↗Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗
Drugi naziviAB-QS, Agent-Based Queue Simulation, ABM Queueing, Agent Queue Simulation
Srodne50
SažetakAgent-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.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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ScholarGateUsporedite metode: Agent-based queueing simulation · MONTE-CARLO-SIMULATION. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare