Complexity of Boolean automata networks under block-parallel update modes

Fuente: arXiv
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Autores principales: Perrot, Kévin, Sené, Sylvain, Tapin, Léah
Formato: Preprint
Publicado: 2024
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author Perrot, Kévin
Sené, Sylvain
Tapin, Léah
author_facet Perrot, Kévin
Sené, Sylvain
Tapin, Léah
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_06294
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Complexity of Boolean automata networks under block-parallel update modes
Perrot, Kévin
Sené, Sylvain
Tapin, Léah
Discrete Mathematics
Computational Complexity
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.
title Complexity of Boolean automata networks under block-parallel update modes
topic Discrete Mathematics
Computational Complexity
url https://arxiv.org/abs/2402.06294