Evidence map›Paper›PMID 35814345›Full record

ArticleFrontiers in computational neuroscience2022

Augmenting Human Selves Through Artificial Agents - Lessons From the Brain.

Georg Northoff, Maia Fraser, John Griffiths, Dimitris A Pinotsis, Prakash Panangaden, Rosalyn Moran, Karl Friston

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in computational neuroscience, 2022. 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. Review
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

7 authors.

Georg NorthoffMental Health Center, Zhejiang University School of Medicine, Hangzhou, China.
Maia FraserDepartment of Mathematics and Statistics, University of Ottawa, Ottawa, ON, Canada.
John GriffithsCentre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Dimitris A PinotsisCentre for Mathematical Neuroscience and Psychology, Department of Psychology, City, University of London, London, United Kingdom.
Prakash PanangadenDepartment of Computer Science, McGill University, Montreal, QC, Canada.
Rosalyn MoranCentre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Karl FristonWellcome Centre for Human Neuroimaging, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much of current artificial intelligence (AI) and the drive toward artificial general intelligence (AGI) focuses on developing machines for functional tasks that humans accomplish. These may be narrowly specified tasks as in AI, or more general tasks as in AGI - but typically these tasks do not target higher-level human cognitive abilities, such as consciousness or morality; these are left to the realm of so-called "strong AI" or "artificial consciousness." In this paper, we focus on how a machine can

Indexed as

agent-environment interactionfree energy principlefree energy principle and active inference (FEP-AI) frameworkhierarchical learninghuman selfintelligence augmentation (IA)spatio – temporal dynamics

Identifiers

PMID35814345
PMCPMC9260143

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.