Computational Psychosomatics and Computational Psychiatry: Toward a Joint Framework for Differential Diagnosis

Abstract

This article outlines how a core concept from theories of homeostasis and cybernetics, the inference-control loop, may be used to guide differential diagnosis in computational psychiatry and computational psychosomatics. In particular, we discuss 1) how conceptualizing perception and action as inference-control loops yields a joint computational perspective on brain-world and brain-body interactions and 2) how the concrete formulation of this loop as a hierarchical Bayesian model points to key computational quantities that inform a taxonomy of potential disease mechanisms. We consider the utility of this perspective for differential diagnosis in concrete clinical applications.

Keywords: Allostasis; Cybernetics; Hierarchical Bayesian model; Homeostasis; Inference; Metacognition; Prediction error.