首页> 外文会议>International Conference on Cellular Automata for Research and Industry(ACRI 2004); 20041025-27; Amsterdam(NL) >Cellular Automata with Rare Events; Resolution of an Outstanding Problem in the Bootstrap Percolation Model
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Cellular Automata with Rare Events; Resolution of an Outstanding Problem in the Bootstrap Percolation Model

机译:具有罕见事件的元胞自动机; Bootstrap渗透模型中未解决问题的解决

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We study the modified bootstrap model as an example of a cellular automaton that is dominated by the physics of rare events. For this reason, the characteristic laws are quite different from the simple power laws often found in well known critical phenomena. Those laws are quite delicate, and are driven by co-operative events at diverging length and time scales. To deal with such problems we introduce a new importance-sampling procedure in simulation, based on rare events around "holes". This enables us to access bootstrap lengths beyond those previously studied. By studying the paths or processes that lead to emptying of the lattice we are able to develop systematic corrections to the theory, and compare them to simulations. Thereby, for the first time in the literature, it is possible to obtain credible comparisons between theory and simulation in the accessible density range.
机译:我们研究了改进的自举模型,以细胞自动机为例,该自动机由稀有事件的物理现象主导。因此,特征定律与众所周知的临界现象中经常发现的简单幂定律有很大不同。这些法律非常微妙,是由合作事件在不同的时间长度和时间尺度上驱动的。为了解决这些问题,我们在模拟中引入了一种新的重要性采样程序,该方法基于“空洞”周围的罕见事件。这使我们能够访问超出先前研究范围的引导程序长度。通过研究导致晶格排空的路径或过程,我们可以对理论进行系统的校正,并将其与模拟进行比较。因此,这是文献中首次在可访问的密度范围内获得理论与模拟之间可靠的比较。

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