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

  • S. Sahand Mohammadi ZiabariEmail author
  • Jan Treur
Conference paper
Part of the Lecture Notes in Information Systems and Organisation book series (LNISO, volume 32)

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.

Keywords

Cognitive temporal-causal network model Hebbian learning Extreme emotion Humor therapy Mindfulness 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Social AI GroupVrije Universiteit AmsterdamAmsterdamThe Netherlands

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