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随机元胞自动机——复杂空间系统的概率网格模拟

随机元胞自动机(SCA)通过用概率性规则取代确定性转换规则来扩展经典元胞自动机,允许网格上的每个元胞根据以其邻域为条件的概率分布来改变状态。这使得SCA成为模拟现实世界中由随机性、噪声和不确定性支配局部相互作用的空间过程的强大工具——从流行病传播和森林火灾到交通流和物质扩散。

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来源

  1. Wolfram, S. (2002). A New Kind of Science. Wolfram Media, Champaign, IL. ISBN: 9781579550080
  2. Chopard, B., Droz, M. (1998). Cellular Automata Modeling of Physical Systems. Cambridge University Press, Cambridge. ISBN: 9780521679459

如何引用本页

ScholarGate. (2026, June 3). Stochastic Cellular Automata — Probabilistic Grid-Based Simulation of Complex Spatial Systems. ScholarGate. https://scholargate.app/zh/simulation/stochastic-cellular-automata

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被引用于

ScholarGateStochastic Cellular Automata (Stochastic Cellular Automata — Probabilistic Grid-Based Simulation of Complex Spatial Systems). 于 2026-06-15 检索自 https://scholargate.app/zh/simulation/stochastic-cellular-automata · 数据集: https://doi.org/10.5281/zenodo.20539026