On the synergy of network science and artificial intelligence

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)
423 Downloads (Pure)

Samenvatting

Traditionally science is done using the reductionism paradigm. Artificial intelligence does not make an exception and it follows the same strategy. At the same time, network science tries to study complex systems as a whole. This Ph.D. research takes an alternative approach to the reductionism strategy, and tries to advance both fields, i.e. artificial intelligence and network science, by searching for the synergy between them, while not ignoring any other source of inspiration, e.g. neuroscience.
Originele taal-2Engels
TitelProceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2016)
Plaats van productiePalo Alto
UitgeverijAAAI Press
ISBN van geprinte versie978-1-57735-770-4
StatusGepubliceerd - 2016
Evenement25th International Joint Conference on Artificial Intelligence (IJCAI-16), July 9-15, 2016, New York, NY, USA - New York, NY, Verenigde Staten van Amerika
Duur: 9 jul 201615 jul 2016
http://ijcai-16.org

Congres

Congres25th International Joint Conference on Artificial Intelligence (IJCAI-16), July 9-15, 2016, New York, NY, USA
Verkorte titelIJCAI-16
LandVerenigde Staten van Amerika
StadNew York, NY
Periode9/07/1615/07/16
Internet adres

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  • Prijzen

    Travel Award at IJCAI 2016

    Mocanu, Decebal C. (Ontvanger), 11 jul 2016

    Prijs: AndersBeurzenWetenschappelijk

    Citeer dit

    Mocanu, D. C. (2016). On the synergy of network science and artificial intelligence. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2016) AAAI Press.