Dealing with interaction for complex systems modelling and prediction (Articolo in rivista)

Type
Label
  • Dealing with interaction for complex systems modelling and prediction (Articolo in rivista) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Alternative label
  • Quattrociocchi W.; Latorre D.; Lodi E.; Nanni M. (2010)
    Dealing with interaction for complex systems modelling and prediction
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Quattrociocchi W.; Latorre D.; Lodi E.; Nanni M. (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 11 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 1 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: International Journal of Artificial Life Research (IJALR), vol. 1 (1) pp. 1 - 11. IGI Global, 2010. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTC, Roma, Dipartimento di Scienze Matematiche e Informatiche, Università di Siena, CNR-ISTI, Pisa (literal)
Titolo
  • Dealing with interaction for complex systems modelling and prediction (literal)
Abstract
  • The increasing complexity of problems in the context of system modelling is leading to a new epistemological approach able to provide a representation which allows from one hand, to model complex phenomena with the support of mathematical and computational instruments, and on the other hand able to capture the global system description. In this paper is presented a methodology for complex dynamical systems modelling which is an extension of the supervised learning paradigm. The theoretical aspects of our methodology are introduced and then two different and heterogeneous case studies are presented. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Insieme di parole chiave di
data.CNR.it