A tale of two densities: active inference is enactive inference.
Maxwell Jd Ramstead, Michael D Kirchhoff, Karl J Friston
Adaptive behavior August 1, 2020 DOI: 10.1007/s11229-016-1239-1 via PubMed
Summary
AI-generated from the abstractThe free-energy principle (FEP) and active inference are often conflated with predictive processing frameworks, leading to misunderstandings about their core constructs, generative models and variational densities. This article argues that these models have been systematically misrepresented as structural representations. Instead, under the FEP, generative and recognition models function to realize inference and control—the self-organizing, belief-guided selection of action policies—not as representations with the properties structural representationalists ascribe. The authors propose an enactive interpretation, termed enactive inference, as a more accurate account of these constructs.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Active inference Enactivism Free-energy principle Representationalism Structural representations |
| Citations | 387 |
| Key finding | Generative and recognition models under the free-energy principle are best interpreted enactively as realizing inference and control, not as structural representations. |
Abstract
The aim of this article is to clarify how best to interpret some of the central constructs that underwrite the free-energy principle (FEP) - and its corollary, active inference - in theoretical neuroscience and biology: namely, the role that generative models and variational densities play in this theory. We argue that these constructs have been systematically misrepresented in the literature, because of the conflation between the FEP and active inference, on the one hand, and distinct (albeit closely related) Bayesian formulations, centred on the brain - variously known as predictive processing, predictive coding or the prediction error minimisation framework. More specifically, we examine two contrasting interpretations of these models: a structural representationalist interpretation and an enactive interpretation. We argue that the structural representationalist interpretation of generative and recognition models does not do justice to the role that these constructs play in active inference under the FEP. We propose an enactive interpretation of active inference - what might be called enactive inference. In active inference under the FEP, the generative and recognition models are best cast as realising inference and control - the self-organising, belief-guided selection of action policies - and do not have the properties ascribed by structural representationalists.