| Title |
Neuro-symbolic AI for the smart city |
| ID_Doc |
37278 |
| Authors |
Morel, G |
| Title |
Neuro-symbolic AI for the smart city |
| Year |
2021 |
| Published |
|
| DOI |
10.1088/1742-6596/2042/1/012018 |
| Abstract |
Smart building and smart city specialists agree that complex, innovative use cases, especially those using cross-domain and multi-source data, need to make use of Artificial Intelligence (AI). However, today's AI mainly concerns machine learning and artificial neural networks (deep learning), whereas the first forty years of the discipline (the last decades of the 20th century) were essentially focused on a knowledge-based approach, which is still relevant today for some tasks. In this article we advocate a merging of these two AI trends - an approach known as neuro-symbolic AI - for the smart city, and point the way towards a complete integration of the two technologies, compatible with standard software. |
| Author Keywords |
|
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000724676100018 |
| WoS Category |
Construction & Building Technology; Green & Sustainable Science & Technology; Energy & Fuels; Regional & Urban Planning |
| Research Area |
Construction & Building Technology; Science & Technology - Other Topics; Energy & Fuels; Public Administration |
| PDF |
https://doi.org/10.1088/1742-6596/2042/1/012018
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