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| Agent-Based Modeling (ABM)× | SEIRモデル× | |
|---|---|---|
| 分野≠ | シミュレーション | 疫学 |
| 系統≠ | Process / pipeline | Regression model |
| 提唱年≠ | 1970s–1990s (formalized as a field) | 1991 |
| 提唱者≠ | Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s) | Kermack & McKendrick; Anderson & May |
| 種類≠ | Computational simulation method | Deterministic compartmental ODE model |
| 原典≠ | Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. DOI ↗ | Anderson, R. M., & May, R. M. (1991). Infectious Diseases of Humans: Dynamics and Control. Oxford University Press. ISBN: 978-0-19-854040-3 |
| 別名 | ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling | Susceptible-Exposed-Infectious-Recovered Model, SEIR Compartmental Model, Latent Period Epidemic Model, SEIR Bulaşıcı Hastalık Modeli |
| 関連≠ | 5 | 3 |
| 概要≠ | 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. | The SEIR model is a deterministic compartmental model that partitions a closed population into four epidemiological states: Susceptible (S), Exposed (E), Infectious (I), and Recovered (R). It extends the classic SIR framework by explicitly incorporating a latent period during which individuals have been infected but are not yet infectious. The model was systematically formalized by Anderson and May (1991) and remains a cornerstone of mathematical epidemiology for diseases with non-negligible incubation periods. |
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