Turning block-sequential automata networks into smaller parallel networks with isomorphic limit dynamics

Pacôme Perrotin, Sylvain Sen'e
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Abstract

We state an algorithm that, given an automata network and a block-sequential update schedule, produces an automata network of the same size or smaller with the same limit dynamics under the parallel update schedule. Then, we focus on the family of automata cycles which share a unique path of automata, called tangential cycles, and show that a restriction of our algorithm allows to reduce any instance of these networks under a block-sequential update schedule into a smaller parallel network of the family and to characterize the number of reductions operated while conserving their limit dynamics. We also show that any tangential cycles reduced by our main algorithm are transformed into a network whose size is that of the largest cycle of the initial network. We end by showing that the restricted algorithm allows the direct characterization of block-sequential double cycles as parallel ones.
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将块顺序自动机网络转化为具有同构极限动力学的更小的并行网络
在给定自动机网络和块顺序更新计划的情况下,我们提出了一种算法,该算法在并行更新计划下产生具有相同大小或更小的具有相同极限动态的自动机网络。然后,我们关注共享唯一自动机路径的自动机环族,称为切向环,并表明我们的算法的限制允许在块顺序更新计划下将这些网络的任何实例减少到该家族的更小的并行网络,并表征在保留其极限动态的情况下操作的约简数量。我们还证明了我们的主要算法所减少的任何切向循环都被转换成一个网络,其大小是初始网络的最大循环。最后,我们证明了限制算法允许将块顺序双循环直接表征为并行循环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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