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Monitoring the Impact of Negative Events and Deciding About Emotion Regulation Strategies

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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

Humans have a number of emotion regulation strategies at their disposal, from which in a particular situation one or more can be chosen. The focus of this paper is on the processes behind the choice of these regulation strategies. The paper presents a neurologically inspired cognitive computational model of a monitoring and decision mechanism for emotion regulation incorporating different strategies (expressive suppression, reappraisal or reinterpretation, and situation modification). It can be tuned to specific characteristics of persons and events.

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Author information

Authors and Affiliations

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

    Adnan Manzoor, Altaf Hussain Abro & Jan Treur

Authors
  1. Adnan Manzoor
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  2. Altaf Hussain Abro
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  3. Jan Treur
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Corresponding author

Correspondence to Adnan Manzoor .

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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Manzoor, A., Abro, A.H., Treur, J. (2017). Monitoring the Impact of Negative Events and Deciding About Emotion Regulation Strategies. 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_30

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  • DOI: https://doi.org/10.1007/978-3-319-59294-7_30

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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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