| Allen, C., Balavzevi'c, I., & Hospedales, T. (2020). A probabilistic framework for discriminative and neuro-symbolic semi-supervised learning. arXiv preprint arXiv:2006.05896. |
|
| 11/26/20, 3:01 AM |
|
| Alt, C., H"ubner, M., & Hennig, L. (2019). Fine-tuning pre-trained transformer language models to distantly supervised relation extraction. arXiv preprint arXiv:1906.08646. |
|
| 10/6/20, 1:17 PM |
|
| Barnden, J. A., & Lee, M. G. (2001). Metaphor and artificial intelligence. Lawrence Erlbaum Associates. |
|
| 9/20/21, 12:59 PM |
|
| Beaulieu, S., Frati, L., Miconi, T., Lehman, J., Stanley, K. O., & Clune, J., et al.. (2020). Learning to continually learn. arXiv preprint arXiv:2002.09571. |
|
| 11/8/21, 1:19 PM |
|
| Bhovad, P., & Li, S. (2021). Physical reservoir computing with origami and its application to robotic crawling. Scientific reports, 11(1), 1–18. |
|
| 11/1/21, 11:18 AM |
|
| Bonnemains, V., Saurel, C., & Tessier, C. (2018). Embedded ethics: Some technical and ethical challenges. Ethics and Information Technology, 20(1), 41–58. |
|
| 9/16/20, 1:12 PM |
|
| Broussard, M. (2018). Artificial unintelligence: How computers misunderstand the world. MIT Press. |
|
| 11/16/22, 12:17 PM |
|
| Carter, S., & Nielsen, M. (2017). Using artificial intelligence to augment human intelligence. Distill, 2(12), e9. |
|
| 8/26/20, 3:32 PM |
|
| Danks, D., & London, A. J. 2017, Algorithmic bias in autonomous systems.. Paper presented at Ijcai. |
|
| 11/16/22, 3:47 PM |
|
| Davis, E., & Marcus, G. (2015). Commonsense reasoning and commonsense knowledge in artificial intelligence. Communications of the ACM, 58(9), 92–103. |
|
| 12/3/20, 9:25 AM |
|
| Domingos, P. (2015). The master algorithm: How the quest for the ultimate learning machine will remake our world. Basic Books. |
|
| 6/26/20, 10:48 AM |
|
| Fikes, R., & Garvey, T. (2020). Knowledge representation and reasoning--a history of darpa leadership. AI Magazine, 41(2). |
|
| 2/4/21, 10:49 AM |
|
| Finkel, M. (2020). Ai singularity and the growing risk of surprise. PRISM, 8(4), 30–39. |
|
| 10/25/21, 1:27 PM |
|
| Franklin, N. T., Norman, K. A., Ranganath, C., Zacks, J. M., & Gershman, S. J. (2020). Structured event memory: A neuro-symbolic model of event cognition. Psychological Review, 127(3), 327. |
|
| 11/26/20, 2:50 AM |
|
| Frantz, R. (2003). Herbert simon. artificial intelligence as a framework for understanding intuition. Journal of Economic Psychology, 24(2), 265–277. |
|
| 10/18/21, 12:15 PM |
|
| Gardenfors, P. (2014). The geometry of meaning: Semantics based on conceptual spaces. MIT Press. |
|
| 10/6/20, 12:51 PM |
|
| Gobet, F. (2018). Three views on expertise: Philosophical implications for rationality, knowledge, intuition and education. Education and Expertise, 58–74. |
|
| 10/18/21, 1:12 PM |
|
| Holzinger, A., Kieseberg, P., Weippl, E., & Tjoa, A. M. 2018, Current advances, trends and challenges of machine learning and knowledge extraction From machine learning to explainable ai. Paper presented at International Cross-Domain Conference for Machine Learning and Knowledge Extraction. |
|
| 2/4/21, 10:57 AM |
|
| Kaku, M. (2015). The future of the mind: The scientific quest to understand, enhance, and empower the mind. Anchor Books, a division of Random House LLC. |
|
| 6/29/20, 11:36 AM |
|
| Kasparov, G., & Greengard, M. (2017). Deep thinking: Where machine intelligence ends and human creativity begins. PublicAffairs. |
|
| 8/26/20, 9:26 AM |
|
