A CONJECTURE FROM LEARNING SIMULATIONS OF SERIES AND PARALLEL CONNECTIONS OF COMPONENTS

Alexandre Muzy (1, 2) , Bernard P. Zeigler (3)

1 I3S - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis
2 Laboratoire I3S - MDSC - Modèles Discrets pour les Systèmes Complexes
3 ECE - Department of Electrical and Computer Engineering [Tucson]

Sequential machines can be realized by series and parallel connections of components. These connections can be automatically learned by simulation, rating and selecting component models. Our goal here is threefold: (i) discuss implications for model reconstruction and reconfiguration in model engineering, (ii) present mathematical analyses of search simulation results, and (iii) conjecture that the whole search space of achievement components seems to be well ordered. This conjecture opens new perspectives for studying parallel and series connections of components upon a simulation-based framework. More generally, the automatic learning demonstrated here constitutes a formal basis for model reconstruction and reconfiguration in model engineering.

Mots clés: Sequential machines; activity; discrete-events; simulation; learning

Domaines: Informatique [cs]

Alexandre Muzy, Bernard P. Zeigler. A CONJECTURE FROM LEARNING SIMULATIONS OF SERIES AND PARALLEL CONNECTIONS OF COMPONENTS. THE 26TH EUROPEAN MODELING & SIMULATION SYMPOSIUM, Sep 2014, Bordeaux, France. pp.550-557. ⟨hal-01316922⟩