# The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence

arXiv: https://arxiv.org/abs/2110.01831 · HTML: https://mlsanity.com/paper/2110.01831/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 26 references that are in the map.
- First posted on arXiv 5 Oct 2021.

## Builds on (most cited first, 4 of 4)

- [Symbol Emergence in Cognitive Developmental Systems: a Survey](https://mlsanity.com/paper/1801.08829/) (2018)
- [Symbol Emergence in Robotics: A Survey](https://mlsanity.com/paper/1509.08973/) (2015)
- [Making sense of sensory input](https://mlsanity.com/paper/1910.02227/) (2019)
- [Symbol Emergence and The Solutions to Any Task](https://mlsanity.com/paper/2109.01281/) (2021)

## Built on by (most cited first, 3 of 3)

- [Computable Artificial General Intelligence](https://mlsanity.com/paper/2205.10513/) (2022)
- [What the F*ck Is Artificial General Intelligence?](https://mlsanity.com/paper/2503.23923/) (2025)
- [Hamiltonian Formalism for Comparing Quantum and Classical Intelligence](https://mlsanity.com/paper/2506.14456/) (2025)

## Abstract (arXiv)

We attempt to define what is necessary to construct an Artificial Scientist, explore and evaluate several approaches to artificial general intelligence (AGI) which may facilitate this, conclude that a unified or hybrid approach is necessary and explore two theories that satisfy this requirement to some degree.