AAAI-MAKE 2022 : machine learning and knowledge engineering for hybrid intelligence
| dc.contributor.author | Martin, Andreas | |
| dc.contributor.author | Hinkelmann, Knut | |
| dc.date.accessioned | 2023-05-11T05:00:32Z | |
| dc.date.available | 2023-05-11T05:00:32Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022) brought together researchers and practitioners of the two fields to reflect on advances in combining them, and to present the first results in creating hybrid intelligence with the two AI methods. AAAI-MAKE 2022 is the fourth consecutive edition of this symposium, which combines two prominent AI approaches, symbolic and sub-symbolic AI, as hybrid AI. | en_US |
| dc.description.department | Informatics | en_US |
| dc.description.librarian | am2023 | en_US |
| dc.description.uri | http://ceur-ws.org | en_US |
| dc.identifier.citation | Martin, A. & Hinkelmann, K. 2022, 'AAAI-MAKE 2022 : machine learning and knowledge engineering for hybrid intelligence', CEUR Workshop Proceedings, vol. 3121, pp. 1. | en_US |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | http://hdl.handle.net/2263/90630 | |
| dc.language.iso | en | en_US |
| dc.publisher | CEUR Workshop Proceedings | en_US |
| dc.rights | © 2022 authors. Under Creative Commons License Attribution 4.0 International (CC BY 4.0). | en_US |
| dc.subject | AAAI 2022 Spring symposium | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Knowledge engineering | en_US |
| dc.subject | Hybrid intelligence | en_US |
| dc.title | AAAI-MAKE 2022 : machine learning and knowledge engineering for hybrid intelligence | en_US |
| dc.type | Article | en_US |