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An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor

In: Information Systems and Neuroscience

Author

Listed:
  • S. Sahand Mohammadi Ziabari

    (Vrije Universiteit Amsterdam)

  • Jan Treur

    (Vrije Universiteit Amsterdam)

Abstract

In this paper the effect of a humor therapy is modeled based on a Network-Oriented Modeling approach. Humor therapy is a mindfulness therapy which has been used since many years ago, when Abu Bakr Muhammad ibn Zakariya al-Razi ( https://en.wikipedia.org/wiki/Muhammad_ibn_Zakariya_al-Razi ) as a Persian scientist who used humor theory to distinguish one contagious disease from another, to make stressed individuals more relaxed. The presented adaptive temporal-causal network model addresses the computational modeling of humor therapy for a person who in the first step triggers two incongruent beliefs in order to get the humor from a humor context to overcome an ongoing stressful event. This happens by showing a comedy movie. As a result, the stress level in the body reduces. Hebbian learning is incorporated to strengthen the effect of the humor therapy.

Suggested Citation

  • S. Sahand Mohammadi Ziabari & Jan Treur, 2020. "An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane Randolph & Thomas Fis (ed.), Information Systems and Neuroscience, pages 189-201, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-28144-1_21
    DOI: 10.1007/978-3-030-28144-1_21
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