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Article Dans Une Revue Natural Computing Année : 2018

Boolean dynamics revisited through feedback interconnections

Résumé

Boolean models of physical or biological systems describe the global dynamics of the system and their attractors typically represent asymptotic behaviors. In the case of large networks composed of several modules, it may be difficult to identify all the attractors. To explore Boolean dynamics from a novel viewpoint, we will analyse the dynamics emerging from the composition of two known Boolean modules. The state transition graphs and attractors for each of the modules can be combined to construct a new asymptotic graph which will (1) provide a reliable method for attractor computation with partial information ; (2) illustrate the differences in dynamical behavior induced by the updating strategy (asynchronous, synchronous, or mixed); and (3) show the inherited organization/structure of the original network's state transition graph.
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hal-01936299 , version 1 (27-11-2018)

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Madalena Chaves, Daniel Figueiredo, Manuel A. Martins. Boolean dynamics revisited through feedback interconnections. Natural Computing, 2018, ⟨10.1007/s11047-018-9716-8⟩. ⟨hal-01936299⟩
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