mlsanityData to 14 Oct 2026

Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energy

arXiv 2308.00861 ↗First posted 1 Aug 2023math.CT cs.AI cs.LOcited by 3

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Abstract (arXiv)

We present a categorical formulation of the cognitive frameworks of Predictive Processing and Active Inference, expressed in terms of string diagrams interpreted in a monoidal category with copying and discarding. This includes diagrammatic accounts of generative models, Bayesian updating, perception, planning, active inference, and free energy. In particular we present a diagrammatic derivation of the formula for active inference via free energy minimisation, and establish a compositionality property for free energy, allowing free energy to be applied at all levels of an agent's generative model. Aside from aiming to provide a helpful graphical language for those familiar with active inference, we conversely hope that this article may provide a concise formulation and introduction to the framework.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 16 of its 41 references that are in the map. First posted on arXiv 1 Aug 2023.

Builds on

16 of 41 references.

References · 16

  1. 2019A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statisticscited by 56
  2. 2020Reinforcement Learning through Active Inferencecited by 47
  3. 2017Backprop as Functor: A compositional perspective on supervised learningcited by 44
  4. 2021Category Theory in Machine Learningcited by 36
  5. 2017Disintegration and Bayesian Inversion via String Diagramscited by 32
  6. 2018Causal Inference by String Diagram Surgerycited by 24
  7. 2023Causal models in string diagramscited by 14
  8. 2016Compositional game theorycited by 13
  9. 2022The d-separation criterion in Categorical Probabilitycited by 12
  10. 2023An Introduction to String Diagrams for Computer Scientistscited by 9
  11. 2022Markov Categories and Entropycited by 7
  12. 2020Integrated Information in Process Theoriescited by 5
4 more
  1. 2020The Mathematical Structure of Integrated Information Theorycited by 5
  2. 2021Cyber Kittens, or Some First Steps Towards Categorical Cyberneticscited by 4
  3. 2022Compositional Active Inference II: Polynomial Dynamics. Approximate Inference Doctrinescited by 2
  4. 2023Evidential Decision Theory via Partial Markov Categoriescited by 2

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Citing papers per year: 2024: 1; 2025: 1; 2026: 1.

3 papers.