Distributed Science — The Scientific Process as Multi-Scale Active Inference

This paper presents a multi-scale description of the scientific process as a distributed system of evidence-seeking activities, applying the free energy principle to understand science as Bayesian belief updating. It argues that scientific practice is shaped by both human and non-human agents, emphasizing the need for an integrated view that combines modern and non-modern perspectives on knowledge production.