مقایسهٔ روشها
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| مدلسازی عاملمحور (ABM)× | تحلیل کمی بازگشت (RQA)× | |
|---|---|---|
| حوزه≠ | شبیهسازی | سیستمهای پیچیده |
| خانواده≠ | Process / pipeline | Machine learning |
| سال پیدایش≠ | 1970s–1990s (formalized as a field) | 2007 |
| پدیدآور≠ | Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s) | Marwan, Romano, Thiel & Kurths |
| نوع≠ | Computational simulation method | Nonlinear time-series characterization |
| منبع بنیادین≠ | Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. DOI ↗ | Marwan, N., Romano, M. C., Thiel, M., & Kurths, J. (2007). Recurrence plots for the analysis of complex systems. Physics Reports, 438(5–6), 237–329. DOI ↗ |
| نامهای دیگر | ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling | RQA, Recurrence Plot Analysis, Nonlinear Recurrence Analysis, Tekrarlama Kantifikasyon Analizi |
| مرتبط≠ | 5 | 2 |
| خلاصه≠ | 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. | Recurrence Quantification Analysis (RQA) is a nonlinear method for characterizing the dynamics of a time series by quantifying the small-scale structure of its recurrence plot. Introduced in its modern, comprehensive form by Marwan, Romano, Thiel, and Kurths in 2007, RQA extracts scalar measures — such as recurrence rate, determinism, laminarity, and Shannon entropy — that capture periodicity, chaos, stationarity, and transitions in complex dynamical systems. |
| ScholarGateمجموعهداده ↗ |
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