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 |
| Subtitle of host publication | New York, New York, USA 9–15 July 2016 |
| Editors | Subbarao Kambhampati |
| Place of Publication | Palo Alto, CA |
| Publisher | AAAI Press |
| Pages | 4020-4021 |
| Number of pages | 2 |
| ISBN (Print) | 978-1-57735-770-4 (volumes 1-3), 978-1-57735-771-1 (volumes 4-6) |
| Publication status | Published - 2016 |
| Externally published | Yes |
| Event | 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 - New York, United States Duration: 9 Jul 2016 → 15 Jul 2016 Conference number: 25 |
Publication series
| Name | IJCAI International Joint Conference on Artificial Intelligence |
|---|---|
| Publisher | AAAI Press |
| Volume | 2016 |
| ISSN (Print) | 1045-0823 |
Conference
| Conference | 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 |
|---|---|
| Abbreviated title | IJCAI |
| Country/Territory | United States |
| City | New York |
| Period | 9/07/16 → 15/07/16 |