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Agent-based queueing simulation/Evidence
Method evidence record

Agent-based queueing simulation

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Agent-Based Queueing Simulation
Taxonomic method record · process-pipeline / simulation
  • Macal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151–162. · DOI 10.1057/jos.2010.3
  • Agent-based model. Wikipedia. · URL
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketAgent-based Discrete-Event Simulationmachine-suggested · Relational suggestion, not evidence.Same method familyAgent-Based Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyDiscrete-Event Simulationmachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQueueing Simulationmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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