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International Conference on Artificial Neural Networks

ICANN 2016: Artificial Neural Networks and Machine Learning – ICANN 2016 pp 205–213Cite as

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

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9886))

Abstract

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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Acknowledgments

This work was supported by the European Project AlterEgo FP7 ICT 2.9-Cognitive Sciences and Robotics, grant number 600610.

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Authors and Affiliations

  1. Learning Algorithms and Systems Laboratory, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland

    Laura Cohen & Aude Billard

Authors
  1. Laura Cohen
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  2. Aude Billard
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Corresponding author

Correspondence to Laura Cohen .

Editor information

Editors and Affiliations

  1. University of Lausanne, Lausanne, Switzerland

    Alessandro E.P. Villa

  2. University of Lausanne, Lausanne, Switzerland

    Paolo Masulli

  3. Universitat Politécnica de Catalunya, Terrrassa, Spain

    Antonio Javier Pons Rivero

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© 2016 Springer International Publishing Switzerland

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Cohen, L., Billard, A. (2016). Influence of Saliency and Social Impairments on the Development of Intention Recognition. In: Villa, A., Masulli, P., Pons Rivero, A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2016. ICANN 2016. Lecture Notes in Computer Science(), vol 9886. Springer, Cham. https://doi.org/10.1007/978-3-319-44778-0_24

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  • DOI: https://doi.org/10.1007/978-3-319-44778-0_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44777-3

  • Online ISBN: 978-3-319-44778-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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