Artificial learning will significantly affect human life and science in the next decades. However, its basic principles of functioning are still theoretically not well understood. The aim of the workshop was to examine the relations and perspectives of the interaction between Data and Computer Sciences and Complexity theory on this matter.

The complexity of Artificial Learning - CNR Foresight report

Colantonio Sara;Lepri Stefano;Bartolucci;Cecilia;Cinti Caterina;Falchi Fabrizio;Giannotti Fosca
2022

Abstract

Artificial learning will significantly affect human life and science in the next decades. However, its basic principles of functioning are still theoretically not well understood. The aim of the workshop was to examine the relations and perspectives of the interaction between Data and Computer Sciences and Complexity theory on this matter.
2022
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Istituto per la Sintesi Organica e la Fotoreattivita' - ISOF
Istituto dei Sistemi Complessi - ISC
Artificial Learning
Artificial Intelligence
Foresight
Complex systems
Data
Models
Algorithms
File in questo prodotto:
File Dimensione Formato  
prod_465602-doc_182863.pdf

accesso aperto

Descrizione: The complexity of Artificial Learning - CNR Foresight report
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 2.5 MB
Formato Adobe PDF
2.5 MB Adobe PDF Visualizza/Apri

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/20.500.14243/445417
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact