Process / pipelineSimulation / optimization
贝叶斯元胞自动机 — 通过贝叶斯推断对转移规则进行概率校准
贝叶斯元胞自动机（Bayesian Cellular Automata, BCA）将经典元胞自动机的局部规则空间动力学与贝叶斯推断相结合，以从观测数据中学习或校准转移概率。分析师不手动固定规则，而是对细胞状态如何变化进行先验知识编码，并用经验证据更新这些信念，从而产生驱动原则性不确定性感知模拟的规则参数后验分布。
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来源
- Hosseinali, F., Alesheikh, A. A., Nourian, F. (2013). Agent-based modeling of urban land-use development, case study: Simulating future scenarios of Qazvin city. Cities, 31, 105-113. DOI: 10.1016/j.cities.2012.09.002 ↗
- Cellular automaton. Wikipedia. link ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Cellular Automata — Probabilistic calibration of transition rules via Bayesian inference. ScholarGate. https://scholargate.app/zh/simulation/bayesian-cellular-automata
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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