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 language | English |
|---|---|
| Title of host publication | Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2016) |
| Place of Publication | Palo Alto |
| Publisher | AAAI Press |
| ISBN (Print) | 978-1-57735-770-4 |
| Publication status | Published - 2016 |
| Event | 25th International Joint Conference on Artificial Intelligence (IJCAI-16), July 9-15, 2016, New York, NY, USA - New York, NY, United States Duration: 9 Jul 2016 → 15 Jul 2016 http://ijcai-16.org |
Conference
| Conference | 25th International Joint Conference on Artificial Intelligence (IJCAI-16), July 9-15, 2016, New York, NY, USA |
|---|---|
| Abbreviated title | IJCAI-16 |
| Country | United States |
| City | New York, NY |
| Period | 9/07/16 → 15/07/16 |
| Internet address |
Keywords
- artificial intelligence
- machine learning
- deep learning
- complex networks
- network science
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Prizes
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Travel Award at IJCAI 2016
Mocanu, Decebal C. (Recipient), 11 Jul 2016
Prize: Other › Scholarships › Scientific