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pro vyhledávání: '"Sené, A."'
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 a
Externí odkaz:
http://arxiv.org/abs/2402.06294
Autor:
Araújo, Carlos Eduardo do Egito, Sgobbi, Lívia F., Sene Jr, Iwens Gervasio, de Carvalho, Sergio Teixeira
This systematic review focuses on analyzing the use of machine learning techniques for identifying and quantifying analytes in various electrochemical applications, presenting the available applications in the literature. Machine learning is a tool t
Externí odkaz:
http://arxiv.org/abs/2401.14413
Among the fundamental questions in computer science is that of the impact of synchronism/asynchronism on computations, which has been addressed in various fields of the discipline: in programming, in networking, in concurrence theory, in artificial l
Externí odkaz:
http://arxiv.org/abs/2312.15078
In this paper, we explore the dynamic behavior of threshold networks on undirected signed graphs. Much attention has been dedicated to understand the convergence and long-term behavior of this model. Yet, an open question persists: How does the under
Externí odkaz:
http://arxiv.org/abs/2309.01854
Autor:
Perrotin, Pacôme, Sené, Sylvain
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 au
Externí odkaz:
http://arxiv.org/abs/2304.13550
When we focus on finite dynamical systems from both the computability/complexity and the modelling standpoints, automata networks seem to be a particularly appropriate mathematical model on which theory shall be developed. In this paper, automata net
Externí odkaz:
http://arxiv.org/abs/2304.09664
Autor:
Demongeot, Jacques, Sené, Sylvain
Publikováno v:
Natural Computing, vol. 19, pp 5-13, 2020
In automata networks, it is well known that the way entities update their states over time has a major impact on their dynamics. In particular, depending on the chosen update schedule, the underlying dynamical systems may exhibit more or less asympto
Externí odkaz:
http://arxiv.org/abs/2204.10712
Publikováno v:
Natural Computing, vol. 19, pp 295-319, 2020
In this paper we study the dynamical behavior of Boolean networks with firing memory, namely Boolean networks whose vertices are updated synchronously depending on their proper Boolean local transition functions so that each vertex remains at its fir
Externí odkaz:
http://arxiv.org/abs/2204.10702
Publikováno v:
Springer Series on Emergence, Complexity and Computation, vol. 42, pp. 145-178, 2022
Our daily social and political life is more and more impacted by social networks. The functioning of our living bodies is deeply dependent on biological regulation networks such as neural, genetic, and protein networks. And the physical world in whic
Externí odkaz:
http://arxiv.org/abs/2204.10686
Publikováno v:
In International Review of Economics and Finance November 2024 96 Part B
