The human brain can solve highly abstract reasoning problems using a neural network that is entirely physical. The underlying mechanisms are only partially understood, but an artificial network provides valuable insight. See Article p.471
This is a preview of subscription content, access via your institution
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Rent or buy this article
Prices vary by article type
Prices may be subject to local taxes which are calculated during checkout
Newell, A. Cogn. Sci. 4, 135–183 (1980).
Hammer, B. & Hitzler, P. (eds) Perspectives of Neural–Symbolic Integration http://doi.org/fsrb8m (Springer, 2007).
Graves, A. et al. Nature 538, 471–476 (2016).
Turing, A. M. J. Math. 58, 345–363 (1936).
LeCun, Y., Bengio, Y. & Hinton, G. Nature 521, 436–444 (2015).
Szegedy, C. et al. Proc. IEEE Conf. Computer Vision Pattern Recognition http://dx.doi.org/10.1109/CVPR.2015.7298594 (2015).
Bahdanau, D., Cho, K. & Bengio, Y. Int. Conf. Learning Representations Preprint at http://arxiv.org/abs/1409.0473 (2014).
De Raedt, L. & Kimmig, A. Machine Learn. 100, 5–47 (2015).
Graves, A., Wayne, G. & Danihelka, I. Preprint at http://arxiv.org/abs/1410.5401 (2014).
Related links in Nature Research
About this article
Cite this article
Jaeger, H. Deep neural reasoning. Nature 538, 467–468 (2016). https://doi.org/10.1038/nature19477
This article is cited by
SN Computer Science (2021)