Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energy
Tull, Sean, Kleiner, Johannes, Smithe, Toby St Clere
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Aug-1-2023
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