We define a categorical notion of cybernetic system as a dynamical realisation of a generalized open game, along with a coherence condition. We show that this notion captures a wide class of cybernetic systems in computational neuroscience and statistical machine learning, exposes their compositional structure, and gives an abstract justification for the bidirectional structure empirically observed in cortical circuits. Our construction is built on the observation that Bayesian updates compose optically, a fact which we prove along the way, via a fibred category of state-dependent stochastic channels.
- Pub Date:
- January 2021
- Computer Science - Neural and Evolutionary Computing;
- Computer Science - Computer Science and Game Theory;
- Mathematics - Category Theory
- In Proceedings ACT 2020, arXiv:2101.07888. Includes a summary of arXiv:2006.01631