Further reading

Following are a few resources for you to dive deeper into the concepts discussed in the chapter:

1. Principles of artificial intelligence, Nilsson, Nils J., 1933.
2. Neural Logic Machines in International Conference on Learning Representations, by Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, and Denny Zhou (2019).
3. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision, ICLR 2019, by Mao, J., Gan, C., Kohli, P., Tenenbaum, J.B., and Wu, J..
4. CLEVRER: CoLlision Events for Video REpresentation and Reasoning by Yi, K., Gan, C., Li, Y., Kohli, P., Wu, J., Torralba, A., and Tenenbaum, J.B..
5. Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization by Susskind, Z., Arden, B., John, L.K., Stockton, P., and John, E.B..