Evidence map›Paper›PMID 39926591›Full record

ArticleSynthese2025

Shifting boundaries, extended minds: ambient technology and extended allostatic control.

Ben White, Andy Clark, Avel Guènin-Carlut, Axel Constant, Laura Desirée Di Paolo

Abstract read
In one paragraph

Article in Synthese, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ben WhiteSchool of Media, Arts and Humanities, University of Sussex, Brighton, UK.
Andy ClarkSchool of Media, Arts and Humanities, University of Sussex, Brighton, UK.
Avel Guènin-CarlutSchool of Engineering and Informatics, University of Sussex, Brighton, UK.
Axel ConstantSchool of Engineering and Informatics, University of Sussex, Brighton, UK.
Laura Desirée Di PaoloSchool of Engineering and Informatics, University of Sussex, Brighton, UK.ORCID 0000-0003-3265-3850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article applies the thesis of the extended mind to ambient smart environments. These systems are characterised by an environment, such as a home or classroom, infused with multiple, highly networked streams of smart technology working in the background, learning about the user and operating without an explicit interface or any intentional sensorimotor engagement from the user. We analyse these systems in the context of work on the "classical" extended mind, characterised by conditions such as "trust and glue" and phenomenal transparency, and find that these conditions are ill-suited to describing our engagement with ambient smart environments. We then draw from the active inference framework, a theory of brain function which casts cognition as a process of embodied uncertainty minimisation, to develop a version of the extended mind grounded in a process ontology, where the boundaries of mind are understood to be multiple and always shifting. Given this more fluid account of the extended mind, we argue that ambient smart environments should be thought of as extended allostatic control systems, operating more or less invisibly to support an agent's biological capacity for minimising uncertainty over multiple, interlocking timescales. Thus, we account for the functionality of ambient smart environments as extended systems, and in so doing, utilise a markedly different version of the classical thesis of extended mind.

Indexed as

Active inferenceAllostasisAmbient technologyCognitive niche constructionExtended mind

Identifiers

PMID39926591
PMCPMC11802705

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.