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  4. Influence of Saliency and Social Impairments on the Development of Intention Recognition
 
conference paper

Influence of Saliency and Social Impairments on the Development of Intention Recognition

Cohen, Laura
•
Billard, Aude  orcid-logo
Villa, Aep
•
Masulli, P
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2016
Artificial Neural Networks And Machine Learning - Icann 2016, Pt I
25th International Conference on Artificial Neural Networks (ICANN)

Among the symptoms of schizophrenia, deficits in the recognition of intention is one of the most studied. However, there is no cognitive model of intention recognition that takes into account both innate and environmental/developmental factors. This work proposes a developmental model of intention recognition based on a neural network. This model enables us to emulate different types of impairment. Particularly, the dopamine hypothesis of schizophrenia is simulated through an impairment of the visual saliency, and environmental influence of the behavior of the caregiver is evaluated.

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Type
conference paper
DOI
10.1007/978-3-319-44778-0_24
Web of Science ID

WOS:000389086300024

Author(s)
Cohen, Laura
Billard, Aude  orcid-logo
Editors
Villa, Aep
•
Masulli, P
•
Rivero, Ajp
Date Issued

2016

Publisher

Springer Int Publishing Ag

Publisher place

Cham

Published in
Artificial Neural Networks And Machine Learning - Icann 2016, Pt I
ISBN of the book

978-3-319-44778-0

978-3-319-44777-3

Total of pages

9

Series title/Series vol.

Lecture Notes in Computer Science

Volume

9886

Start page

205

End page

213

Subjects

Intention recognition

•

Schizophrenia

•

Development

•

Neural networks

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASA  
Event nameEvent placeEvent date
25th International Conference on Artificial Neural Networks (ICANN)

Barcelona, SPAIN

SEP 06-09, 2016

Available on Infoscience
January 24, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/133353
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