Integrated Information in Process Theories
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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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Feb 2020.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
5 papers.
- 2021How to make qubits speakcited by 5
- 2021Kindergarden quantum mechanics graduates (...or how I learned to stop gluing LEGO together and love the ZX-calculus)cited by 4
- 2023Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energycited by 3
- 2021Reasoning about conscious experience with axiomatic and graphical mathematicscited by 0
- 2026Categorical AI phenomenology: A first-person approachcited by 0
- 2026Categorical AI phenomenology: A first-person approach19 Aug 2026
- 2023Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energy1 Aug 2023
- 2021How to make qubits speak2 Jul 2021
- 2021Reasoning about conscious experience with axiomatic and graphical mathematics30 Jun 2021
- 2021Kindergarden quantum mechanics graduates (...or how I learned to stop gluing LEGO together and love the ZX-calculus)22 Feb 2021