Biologically-inspired learning and intelligent system modelling (Contributo in volume (capitolo o saggio))

Type
Label
  • Biologically-inspired learning and intelligent system modelling (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.4018/978-1-60960-018-1 (literal)
Alternative label
  • Giovanna Morgavi (2011)
    Biologically-inspired learning and intelligent system modelling
    in System and Circuit Design for Biologically Inspired Learning, 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Giovanna Morgavi (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 19 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#citta
  • Usa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • System and Circuit Design for Biologically Inspired Learning (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 1 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Turgay Temel Editor IGI Global Hershey, PA USA Pub. , October 2010, ISBN-10 1609600185 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 412 (literal)
Note
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Giovanna Morgavi IEIIT-National Research Council, Italy (literal)
Titolo
  • Biologically-inspired learning and intelligent system modelling (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
  • System and Circuit Design for Biologically-inspired Learning (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 1609600185 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Temel Turgay (literal)
Abstract
  • Artifacts having to perform in the real world should be able to cope with uncertain situations and react quickly to changes in the environment. Living systems, starting from a pre-structured set of functions, develop competence to better adapt to the environment all life long, from childhood to maturity. This phenomenon is called growing up. A developmental intelligence for growing up robots must be able to generate autonomously representations for unknown knowledge and skills. Models of development can play an important role in specifying the minimal preferences, faculties, and processes needed for this skill to emerge. A perspective on the analysis of some adaptive learning processes originating from literature and experiments in natural world result in some suggestion intelligent system architecture modeling. (literal)
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