مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| شبیهسازی صفبندی مبتنی بر عامل× | مدلسازی عاملمحور (ABM)× | |
|---|---|---|
| حوزه | شبیهسازی | شبیهسازی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 2000s | 1970s–1990s (formalized as a field) |
| پدیدآور≠ | Macal, C. M. & North, M. J. (hybrid formalization); queueing theory rooted in Erlang (1909) | Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s) |
| نوع≠ | Hybrid simulation — agent-based + queueing | Computational simulation method |
| منبع بنیادین≠ | Macal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151–162. DOI ↗ | Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. DOI ↗ |
| نامهای دیگر | AB-QS, Agent-Based Queue Simulation, ABM Queueing, Agent Queue Simulation | ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling |
| مرتبط | 5 | 5 |
| خلاصه≠ | 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. | 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 ↗ |
|
|