On the synergy of network science and artificial intelligence

Decebal Constantin Mocanu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
42 Downloads (Pure)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence
Subtitle of host publicationNew York, New York, USA 9–15 July 2016
EditorsSubbarao Kambhampati
Place of PublicationPalo Alto, CA
PublisherAAAI Press
Pages4020-4021
Number of pages2
ISBN (Print)978-1-57735-770-4 (volumes 1-3), 978-1-57735-771-1 (volumes 4-6)
Publication statusPublished - 2016
Externally publishedYes
Event25th International Joint Conference on Artificial Intelligence, IJCAI 2016 - New York, United States
Duration: 9 Jul 201615 Jul 2016
Conference number: 25

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
PublisherAAAI Press
Volume2016
ISSN (Print)1045-0823

Conference

Conference25th International Joint Conference on Artificial Intelligence, IJCAI 2016
Abbreviated titleIJCAI
CountryUnited States
CityNew York
Period9/07/1615/07/16

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