Development of a petri net model for a reconfigurable intelligent system based on experimental data

  1. Latorre, J.I. 2
  2. El-Laithy, K. 1
  3. Bogdan, M. 1
  4. Jiménez, E. 2
  1. 1 University of Leipzig
    info

    University of Leipzig

    Leipzig, Alemania

    ROR https://ror.org/03s7gtk40

  2. 2 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Libro:
26th European Modeling and Simulation Symposium, EMSS 2014

ISBN: 9788897999324

Año de publicación: 2014

Páginas: 608-612

Tipo: Capítulo de Libro

SCOPUS: 2-s2.0-84912060608 GOOGLE SCHOLAR

Resumen

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.