Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Dinamika e Sistemeve e Bazuar në Agjentë× | Simulimi me Evente Diskret (DES)× | |
|---|---|---|
| Fusha | Simulimi | Simulimi |
| Familja | Process / pipeline | Process / pipeline |
| Viti i origjinës≠ | 2000s | 1960s (formalized); modern computational form from 1970s onward |
| Krijuesi≠ | Borshchev, A. & Filippov, A. (hybrid formalization); Sterman, J. D. (system dynamics foundation) | Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s) |
| Lloji≠ | Hybrid simulation model | Stochastic process simulation |
| Burimi themelues≠ | Borshchev, A., & Filippov, A. (2004). From system dynamics and discrete event to practical agent based modeling: Reasons, techniques, tools. In Proceedings of the 22nd International Conference of the System Dynamics Society. Oxford, UK. link ↗ | Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127 |
| Emërtime të tjera≠ | AB-SD, Hybrid ABM-SD, Agent-based SD, Multi-level hybrid simulation | DES, event-driven simulation, Ayrık Olay Simülasyonu (DES) |
| Të lidhura≠ | 5 | 4 |
| Përmbledhja≠ | Agent-based system dynamics (AB-SD) is a hybrid simulation paradigm that couples agent-based modeling (ABM) at the micro level with system dynamics (SD) stock-and-flow structures at the macro level. This allows researchers to capture emergent individual behavior and feedback-driven aggregate dynamics within a single coherent model, making it especially valuable for complex socio-economic and epidemiological systems. | Discrete-Event Simulation (DES) is a computational modeling paradigm in which the state of a system changes only at a countable sequence of points in time — the events. Between events nothing changes, so the simulation clock jumps directly from one event to the next. Formalized through the foundational textbooks of Banks, Carson, Nelson and Nicol and of Law in the 1960s–2000s, DES has become the standard tool for analyzing queuing systems, healthcare patient flows, manufacturing lines, and logistics networks where entities move through resources over time. |
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