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A Cognitive Agent Model for Desire Regulation Applied to Food Desires

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Multi-Agent Systems and Agreement Technologies (EUMAS 2016, AT 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10207))

Abstract

In this paper a neurologically inspired cognitive agent model for desire regulation is presented that describes the desire generation process and a number of desire regulation strategies. This work addresses antecedent-focused desire regulation strategies. These strategies include reinterpretation, attention deployment and situation modification. The model has been used to perform a number of simulation experiments concerning food desire and eating behaviour.

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Authors and Affiliations

  1. Behavioural Informatics Group, Vrije Universiteit Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Altaf Hussain Abro & Jan Treur

Authors
  1. Altaf Hussain Abro
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  2. Jan Treur
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Corresponding author

Correspondence to Jan Treur .

Editor information

Editors and Affiliations

  1. King’s College London, London, United Kingdom

    Natalia Criado Pacheco

  2. Polytechnic University of Valencia, Valencia, Portugal

    Carlos Carrascosa

  3. Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain

    Nardine Osman

  4. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián Inglada

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Abro, A.H., Treur, J. (2017). A Cognitive Agent Model for Desire Regulation Applied to Food Desires. In: Criado Pacheco, N., Carrascosa, C., Osman, N., Julián Inglada, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2016 2016. Lecture Notes in Computer Science(), vol 10207. Springer, Cham. https://doi.org/10.1007/978-3-319-59294-7_20

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  • DOI: https://doi.org/10.1007/978-3-319-59294-7_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59293-0

  • Online ISBN: 978-3-319-59294-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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