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| 행위자 기반 모델링 (ABM)× | 재발 정량 분석 (RQA)× | |
|---|---|---|
| 분야≠ | 시뮬레이션 | 복잡계 |
| 계열≠ | Process / pipeline | Machine learning |
| 기원 연도≠ | 1970s–1990s (formalized as a field) | 2007 |
| 창시자≠ | Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s) | Marwan, Romano, Thiel & Kurths |
| 유형≠ | Computational simulation method | Nonlinear time-series characterization |
| 원전≠ | 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 ↗ |
| 별칭 | ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling | RQA, Recurrence Plot Analysis, Nonlinear Recurrence Analysis, Tekrarlama Kantifikasyon Analizi |
| 관련≠ | 5 | 2 |
| 요약≠ | 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. |
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