Evolving communication in embodied agents: Assessment and open challenges (Contributo in volume (capitolo o saggio))

Type
Label
  • Evolving communication in embodied agents: Assessment and open challenges (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Alternative label
  • Nolfi S., Mirolli M. (2010)
    Evolving communication in embodied agents: Assessment and open challenges
    Springer-Verlag, Berlin (Germania) in Evolution of Communication and Language in Embodied and Situated Agents, 2010
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Nolfi S., Mirolli M. (literal)
Pagina inizio
  • 215 (literal)
Pagina fine
  • 220 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#citta
  • Berlin (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007/978-3-642-01250-1_12 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Evolution of Communication and Language in Embodied and Situated Agents (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Scienze e Tecnologie della Cognizione - CNR (literal)
Titolo
  • Evolving communication in embodied agents: Assessment and open challenges (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
  • Evolution of Communication and Language in Embodied Agents, in Nolfi S. & Mirolli M. (eds.) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-01249-5 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Nolfi Stefano, Mirolli Marco (literal)
Abstract
  • Inthischapterwesummarizetheprogressesthathaverecentlybeenmade in the study of the emergence of communication in artificial embodied agents along different dimensions, including the understanding of the adaptive roles of communi- cation, the expressive power and organization complexity of signalling systems, the stability, robustness, and evolvability of communication, and the knowledge gain obtained with such models. Finally, we briefly discuss what we think are the most important open challenges for future research in this area. (literal)
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