# Human-Level Intelligence or Animal-Like Abilities?

arXiv: https://arxiv.org/abs/1707.04327 · HTML: https://mlsanity.com/paper/1707.04327/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Jul 2017.

## Built on by (most cited first, 8 of 8)

- [Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases](https://mlsanity.com/paper/2102.11965/) (2021)
- [Learning First-Order Representations for Planning from Black-Box States: New Results](https://mlsanity.com/paper/2105.10830/) (2021)
- [Neuro-Symbolic Constraint Programming for Structured Prediction](https://mlsanity.com/paper/2103.17232/) (2021)
- [A Test for Evaluating Performance in Human-Computer Systems](https://mlsanity.com/paper/2206.12390/) (2022)
- [Target Languages (vs. Inductive Biases) for Learning to Act and Plan](https://mlsanity.com/paper/2109.07195/) (2021)
- [Q-Cogni: An Integrated Causal Reinforcement Learning Framework](https://mlsanity.com/paper/2302.13240/) (2023)
- [Teaching Machine Learning in K-12 Computing Education: Potential and Pitfalls](https://mlsanity.com/paper/2106.11034/) (2021)
- [Backward explanations via redefinition of predicates](https://mlsanity.com/paper/2408.02606/) (2024)

## Abstract (arXiv)

The vision systems of the eagle and the snake outperform everything that we can make in the laboratory, but snakes and eagles cannot build an eyeglass or a telescope or a microscope. (Judea Pearl)