In this paper we explore the reconstruction of a delay differential equation (DDE) model from economics, the Kalecki's business cycle model, with a variant of genetic programming (GP) encoding the structure of DDEs. The results of this preliminary work show that GP can correctly reconstruct the model starting only from approximated data, showing that the investigation of GP for interpretable reconstruction of DDEs can be a worthwile research direction.

Genetic Programming for the Reconstruction of Delay Differential Equations in Economics

Tonelli, Teresa
Primo
;
Pietropolli, Gloria
Secondo
;
Sbaiz, Gabriele
Penultimo
;
Manzoni, Luca
Ultimo
2024-01-01

Abstract

In this paper we explore the reconstruction of a delay differential equation (DDE) model from economics, the Kalecki's business cycle model, with a variant of genetic programming (GP) encoding the structure of DDEs. The results of this preliminary work show that GP can correctly reconstruct the model starting only from approximated data, showing that the investigation of GP for interpretable reconstruction of DDEs can be a worthwile research direction.
File in questo prodotto:
File Dimensione Formato  
3638530.3664164.pdf

Accesso chiuso

Descrizione: Articolo finale
Tipologia: Documento in Versione Editoriale
Licenza: Copyright Editore
Dimensione 942.09 kB
Formato Adobe PDF
942.09 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3102498
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact