Why Life Is Not Active Inference

Abstract

Active inference provides a powerful account of perception, action, and learning as processes of prediction and error minimisation. While this framework captures important aspects of biological behaviour, it presupposes the existence of living systems and does not explain what makes them alive. APS situates inference within viability-oriented organisation.

Part of the series: APS and Contemporary Theories

This article examines a major framework in biology or cognition and shows why it does not fully account for life as viability-oriented, constraint-closed organisation. For the positive account, see What Is Life?.

The Appeal of Active Inference

Active inference models organisms as systems that minimise prediction error through perception and action.

This provides a powerful account of adaptive behaviour.

APS accepts this—but rejects the claim that life is inference.

What It Explains Well

Active inference explains:

perception as inference
action as prediction fulfilment
learning as model updating

These are real features of biological systems.

Inference Presupposes Life

Inference requires:

a bounded system
defined sensors and actions
conditions under which predictions matter

These are not produced by inference.

They are preconditions for it.

Why Prediction Is Not Enough

Minimising prediction error does not explain:

why failure is existential
why persistence matters
why systems must maintain themselves

The APS Perspective

Inference is one way living systems coordinate behaviour.

It is not what makes them living systems.

Key Point

Active inference describes how living systems behave, but life is defined by the organisation that makes such behaviour possible.

Key Points