Understanding the sense of self through robotics.


Journal

Science robotics
ISSN: 2470-9476
Titre abrégé: Sci Robot
Pays: United States
ID NLM: 101733136

Informations de publication

Date de publication:
30 Oct 2024
Historique:
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: ppublish

Résumé

Robotics can play a useful role in the scientific understanding of the sense of self, both through the construction of embodied models of the self and through the use of robots as experimental probes to explore the human self. In both cases, the embodiment of the robot allows us to devise and test hypotheses about the nature of the self, with regard to its development, its manifestation in behavior, and the diversity of selves in humans, animals, and, potentially, machines. This paper reviews robotics research that addresses the topic of the self-the minimal self, the extended self, and disorders of the self-and highlights future directions and open challenges in understanding the self through constructing its components in artificial systems. An emerging view is that key phenomena of the self can be generated in robots with suitably configured sensor and actuator systems and a layered cognitive architecture involving networks of predictive models.

Identifiants

pubmed: 39475697
doi: 10.1126/scirobotics.adn2733
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

eadn2733

Auteurs

Tony J Prescott (TJ)

Department of Computer Science and Sheffield Robotics, University of Sheffield, Sheffield, UK.

Kai Vogeley (K)

Department of Psychiatry, University Hospital Cologne, Cologne, Germany.
Institute for Neuroscience and Medicine-Cognitive Neuroscience (INM3), Research Center Juelich, Juelich, Germany.

Agnieszka Wykowska (A)

Social Cognition in Human-Robot Interaction Unit, Italian Institute of Technology, Genova, Italy.

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Classifications MeSH