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

S. Sahand Mohammadi Ziabari () and Jan Treur ()
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S. Sahand Mohammadi Ziabari: Vrije Universiteit Amsterdam
Jan Treur: Vrije Universiteit Amsterdam

A chapter in Information Systems and Neuroscience, 2020, pp 189-201 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-28144-1_21

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DOI: 10.1007/978-3-030-28144-1_21

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