Neurosymbolic Artificial Intelligence is a continous publication journal where articles are published online as soon as they have completed the production process at the publisher. They are immediately available, under an open access license, in a fully citable form with a universal digital object identifier (DOI). Pre-prints of accepted articles, also referred to as Author Accepted Manuscripts (AAM) are also published online at this site both during and after the peer review stage.
Accepted papers:
- Sun, R. (2024). Dual-process theories, cognitive architectures, and hybrid neural-symbolic models. In A. Oltramari (Ed.), Neurosymbolic Artificial Intelligence (pp. 1–9). IOS Press. https://doi.org/10.3233/nai-240720
- Jaleed Khan, M., Ilievski, F., G. Breslin, J., Curry, E. (2024). A Survey of Neurosymbolic Visual Reasoning with Scene Graphs and Common Sense Knowledge . In M. Sarker (Ed.), Neurosymbolic Artificial Intelligence, 24 pages, https://neurosymbolic-ai-journal.com/system/files/nai-paper-719.pdf
- Hitzler, P. Rayan, R., Zalewski, J., Saki Norouzi, S., Eberhart, A., Vassermann, E. (2024). Deep Deductive Reasoning is a Hard Deep Learning Problem. In G. Šír (Ed.), Neurosymbolic AI, 13 pages, https://neurosymbolic-ai-journal.com/system/files/nai-paper-669.pdf