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Non-deterministic updates of Boolean networks

Authors: Paulevé, Loïc; Sené, Sylvain;

Non-deterministic updates of Boolean networks

Abstract

Boolean networks are discrete dynamical systems where each automaton has its own Boolean function for computing its state according to the configuration of the network. The updating mode then determines how the configuration of the network evolves over time. Many of updating modes from the literature, including synchronous and asynchronous modes, can be defined as the composition of elementary deterministic configuration updates, i.e., by functions mapping configurations of the network. Nevertheless, alternative dynamics have been introduced using ad-hoc auxiliary objects, such as that resulting from binary projections of Memory Boolean networks, or that resulting from additional pseudo-states for Most Permissive Boolean networks. One may wonder whether these latter dynamics can still be classified as updating modes of finite Boolean networks, or belong to a different class of dynamical systems. In this paper, we study the extension of updating modes to the composition of non-deterministic updates, i.e., mapping sets of finite configurations. We show that the above dynamics can be expressed in this framework, enabling a better understanding of them as updating modes of Boolean networks. More generally, we argue that non-deterministic updates pave the way to a unifying framework for expressing complex updating modes, some of them enabling transitions that cannot be computed with elementary and non-elementary deterministic updates.

Accepted at AUTOMATA 2021

Countries
Germany, France
Keywords

FOS: Computer and information sciences, Natural computing, Formal Languages and Automata Theory (cs.FL), natural computing, [MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS], Computer Science - Formal Languages and Automata Theory, Dynamical Systems (math.DS), Quantitative Biology - Quantitative Methods, 004, FOS: Biological sciences, FOS: Mathematics, discrete dynamical systems, Mathematics - Dynamical Systems, semantics, Quantitative Methods (q-bio.QM), [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], [INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL], ddc: ddc:004

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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