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Analysis of Reachability Tree for Identification of Cyclic and Acyclic CA States

机译:可达性树分析,用于识别循环和非循环CA状态

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This paper reports a scheme to identify cyclic/acyclic states from the state space of cellular automata (CA). We analyze the reachability tree to do this. An algorithm is presented to count the cyclic states. We introduce a concept of tree merging for identifying cyclic and acyclic states. To our knowledge, this is the first work to efficiently identify cyclic/acyclic states from the state space of nonlinear CA. Since cyclic states can only form attractors, the identification of cyclic states would help us to characterize CA attractors.
机译:本文报告了一种从元胞自动机(CA)状态空间识别循环/非循环状态的方案。我们分析可达性树来做到这一点。提出了一种对循环状态进行计数的算法。我们引入了树合并的概念,用于识别循环和非循环状态。据我们所知,这是从非线性CA的状态空间有效识别循环/非循环状态的第一项工作。由于循环状态只能形成吸引子,因此识别循环状态将有助于我们表征CA吸引子。

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