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@ARTICLE{Prescott:1037622,
author = {Prescott, Tony J. and Vogeley, Kai and Wykowska, Agnieszka},
title = {{U}nderstanding the sense of self through robotics},
journal = {Science robotics},
volume = {9},
number = {95},
issn = {2470-9476},
address = {Washington, DC},
publisher = {AAAS},
reportid = {FZJ-2025-00793},
pages = {eadn2733},
year = {2024},
abstract = {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.},
cin = {INM-3},
ddc = {600},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)16},
pubmed = {39475697},
UT = {WOS:001344950000001},
doi = {10.1126/scirobotics.adn2733},
url = {https://juser.fz-juelich.de/record/1037622},
}