Thinging Through Modelling. Active Inference meets Material Engagement

preprint OA: closed
📄 Open PDF Full text JSON View at publisher

Abstract

In this simulation study, we adopt the comprehensive neurocomputational approach of Active Inference (AIF) to illustrate some key concepts of Material Engagement Theory (MET) [1]. MET posits that craftwork does not require, or rely on, rich internal ‘pre-planning’, i.e., complex and highly detailed representations that occur mainly in the maker’s head. Instead, the maker engages materiality through ’thinging’ , where the human agent (the maker) is guided by and leverages the materiality of the artefact (such as a spinning of clay or a chunk of marble). MET assigns a crucial co-participatory role to materiality, attributing agency to it. We investigate MET’s claims through the widely adopted theory of AIF [2]. Our first aim is to simulate the plausibility of the (creative) thinging , adopting a simple modelling scenario. Then, we also discuss its applicability to other, more complex cases, which seem to require greater levels of ‘pre-thinking’ (e.g., planning, imagining and conceptualising outcomes). We highlight how these cases, too, align with the general principle of thinging . With our AIF neurocomputational understanding, we explain that even in these situations, the predictive brains involved in the creative process attempt to minimise the complexity of their internal model. The upshot of this is that, always and everywhere, our human minds engage the materiality to make the most of the characteristic dynamics of the world surrounding us - things and processes alike.
Full text 1,580 characters · extracted from oa-doi-fallback · click to expand
Abstract In this simulation study, we adopt the comprehensive neurocomputational approach of Active Inference (AIF) to illustrate some key concepts of Material Engagement Theory (MET) [1]. MET posits that craftwork does not require, or rely on, rich internal ‘pre-planning’, i.e., complex and highly detailed representations that occur mainly in the maker’s head. Instead, the maker engages materiality through ’thinging’, where the human agent (the maker) is guided by and leverages the materiality of the artefact (such as a spinning of clay or a chunk of marble). MET assigns a crucial co-participatory role to materiality, attributing agency to it. We investigate MET’s claims through the widely adopted theory of AIF [2]. Our first aim is to simulate the plausibility of the (creative) thinging, adopting a simple modelling scenario. Then, we also discuss its applicability to other, more complex cases, which seem to require greater levels of ‘pre-thinking’ (e.g., planning, imagining and conceptualising outcomes). We highlight how these cases, too, align with the general principle of thinging. With our AIF neurocomputational understanding, we explain that even in these situations, the predictive brains involved in the creative process attempt to minimise the complexity of their internal model. The upshot of this is that, always and everywhere, our human minds engage the materiality to make the most of the characteristic dynamics of the world surrounding us - things and processes alike. Competing Interest Statement The authors have declared no competing interest.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00