# Integrated Information in Process Theories

arXiv: https://arxiv.org/abs/2002.07654 · HTML: https://mlsanity.com/paper/2002.07654/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Feb 2020.

## Built on by (most cited first, 5 of 5)

- [How to make qubits speak](https://mlsanity.com/paper/2107.06776/) (2021)
- [Kindergarden quantum mechanics graduates (...or how I learned to stop gluing LEGO together and love the ZX-calculus)](https://mlsanity.com/paper/2102.10984/) (2021)
- [Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energy](https://mlsanity.com/paper/2308.00861/) (2023)
- [Reasoning about conscious experience with axiomatic and graphical mathematics](https://mlsanity.com/paper/2106.16061/) (2021)
- [Categorical AI phenomenology: A first-person approach](https://mlsanity.com/paper/2608.20420/) (2026)

## Abstract (arXiv)

We demonstrate how the key notions of Tononi et al.'s Integrated Information Theory (IIT) can be studied within the simple graphical language of process theories, i.e. symmetric monoidal categories. This allows IIT to be generalised to a broad range of physical theories, including as a special case the Quantum IIT of Zanardi, Tomka and Venuti.