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A Temporal-Causal Modeling Approach to the Dynamics of a Burnout and the Role of Physical Exercise

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Biologically Inspired Cognitive Architectures 2018 (BICA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 848))

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Abstract

In this paper from a Network-Oriented Modeling perspective a temporal-causal network model for burnout is introduced. The model can be the basis for a virtual patient agent model, and offers also possibilities to simulate certain forms of treatment. The model was evaluated by simulation experiments, verification by Mathematical Analysis and validation by Parameter Tuning for given patterns found in the literature.

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Authors and Affiliations

  1. Behavioural Informatics Group, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Zvonimir Dujmić, Emma Machielse & Jan Treur

Authors
  1. Zvonimir Dujmić
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  2. Emma Machielse
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  3. Jan Treur
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Corresponding author

Correspondence to Jan Treur .

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Editors and Affiliations

  1. Department of Cybernetics, National Research Nuclear University “MEPhI”, Moscow, Russia

    Alexei V. Samsonovich

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Dujmić, Z., Machielse, E., Treur, J. (2019). A Temporal-Causal Modeling Approach to the Dynamics of a Burnout and the Role of Physical Exercise. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2018. BICA 2018. Advances in Intelligent Systems and Computing, vol 848. Springer, Cham. https://doi.org/10.1007/978-3-319-99316-4_12

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