2014
EMSS 2014 Proceeding
Development af a Petri net model for a reconfigurable intelligent system based on experimental data
Authors: Juan Ignacio Latorre, Karim El-Laithy, Martin Bogdan, Emilio Jiménez
Abstract
This paper proposes a methodology for solving a double problem. On the one side, it is considered the construction of a Petri net model of a system using data recovered from its behaviour. On the other side, this model should have the capacity of reconfiguration, in order to be able to modify substantially its behaviour depending on its learning experiences. As an open research line related with this methodology, an application on the biological behaviour of neural systems is envisaged
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