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arXiv 2402.06294cs.DMcs.CC
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块并行更新模式下布尔自动机网络的复杂性

Complexity of Boolean automata networks under block-parallel update modes

Kévin Perrot, Sylvain Sené, Léah Tapin

AI总结:

本文研究块并行更新模式下布尔自动机网络的复杂性,证明其能产生复杂计算,将多数动力学决策问题归入PSPACE类,但发现双射性仍属coNP的意外差距。

摘要:

布尔自动机网络(又称布尔网络)是时空离散动力系统,既作为计算模型被研究,也作为自然现象的代表性模型。一组简单实体(自动机)根据局部规则更新其0-1状态。网络的动力学对更新模式高度敏感,即对自动机应用其局部规则的时间表高度敏感。最近出现了一族新的更新模式,称为块并行,它与已被充分研究的块顺序模式是对偶的。尽管块并行模式很基础,但它在时间更新周期内嵌入了更新重复的丰富特征,从而允许出现非典型的渐近行为。在本文中,我们证明它能够产生复杂计算,将关于动力学的几乎所有决策问题压缩到传统上(对于可达性问题)最高的PSPACE类。尽管为广泛的局部和全局属性获得了这些复杂性界限,我们也强调了令人惊讶的差距:双射性仍然是coNP。

英文摘要:

Boolean automata networks (aka Boolean networks) are space-time discrete dynamical systems, studied as a model of computation and as a representative model of natural phenomena. A collection of simple entities (the automata) update their 0-1 states according to local rules. The dynamics of the network is highly sensitive to update modes, i.e., to the schedule according to which the automata apply their local rule. A new family of update modes appeared recently, called block-parallel, which is dual to the well studied block-sequential. Although basic, it embeds the rich feature of update repetitions among a temporal updating period, allowing for atypical asymptotic behaviors. In this paper, we prove that it is able to breed complex computations, squashing almost all decision problems on the dynamics to the traditionally highest (for reachability questions) class PSPACE. Despite obtaining these complexity bounds for a broad set of local and global properties, we also highlight a surprising gap: bijectivity is still coNP.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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