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شبیه‌سازی صف (Queueing Simulation)×مدل‌سازی عامل‌محور (ABM)×
حوزهشبیه‌سازیشبیه‌سازی
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش19091970s–1990s (formalized as a field)
پدیدآورAgner Krarup ErlangThomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)
نوعStochastic simulation / analytical modelingComputational simulation method
منبع بنیادینKleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. DOI ↗
نام‌های دیگرQueue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-QueueABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling
مرتبط65
خلاصهQueueing Simulation combines classical queueing theory with discrete-event simulation to model systems where entities arrive, wait for service, and depart. It predicts performance metrics such as average waiting time, queue length, and server utilization, enabling capacity planning and bottleneck identification across service, manufacturing, healthcare, and network systems.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.
ScholarGateمجموعه‌داده
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Queueing Simulation · Agent-Based Modeling. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare