Inference to the Best Prediction

A Reply to Wanja Wiese

Author

Anil K. Seth

a.k.seth @ sussex.ac.uk

University of Sussex

Brighton, United Kingdom

Commentator

Wanja Wiese

wawiese @ uni-mainz.de

Johannes Gutenberg-Universität

Mainz, Germany

Editors

Thomas Metzinger

metzinger @ uni-mainz.de

Johannes Gutenberg-Universität

Mainz, Germany

Jennifer M. Windt

jennifer.windt @ monash.edu

Monash University

Melbourne, Australia

Responding to Wanja Wiese’s incisive commentary, I first develop the analogy between predictive processing and scientific discovery. Active inference in the Bayesian brain turns out to be well characterized by abduction (inference to the best explanation), rather than by deduction or induction. Furthermore, the emphasis on control highlighted by cybernetics suggests that active inference can be a process of “inference to the best prediction”, leading to a distinction between “epistemic” and “instrumental” active inference. Secondly, on the relationship between perceptual presence and objecthood, I recognize a distinction between the “world revealing” presence of phenomenological objecthood, and the experience of “absence of presence” or “phenomenal unreality”. Here I propose that world-revealing presence (objecthood) depends on counterfactually rich predictive models that are necessarily hierarchically deep, whereas phenomenal unreality arises when active inference fails to unmix causes “in the world” from those that depend on the perceiver. Finally, I return to control-oriented active inference in the setting of interoception, where cybernetics and predictive processing are most closely connected.

Keywords

Abduction | Control-oriented active inference | Falsification​ | Objecthood | Presence